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Low-Level Vision

Let's enhance! Our team has been working on various image/video restoration and enhancement problems such as super-resolution, denoising, low-light enhancement etc. Some notable methods developed by us include SRCNN, ESRGAN, EDVR, BasicVSR, GLEAN, CodeFormer and Zero-DCE.

Super-Resolution

  • PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
    P. Yang, S. Zhou, Q. Tao, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [arXiv] [Project Page]
  • ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
    Z. Yue, J. Wang, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight)
     [arXiv]
  • Exploiting Diffusion Prior for Real-World Image Super-Resolution
    J. Wang, Z. Yue, S. Zhou, K. C. K. Chan, C. C. Loy
    Technical report, arXiv:2305.07015, 2023
    [arXiv] [Project Page]
  • Learning Generative Structure Prior for Blind Text Image Super-resolution
    X. Li, W. Zuo, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Reference-based Image and Video Super-Resolution via C2-Matching
    Y. Jiang, K. C. K. Chan, X. Wang, C. C. Loy, Z. Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • DifFace: Blind Face Restoration with Diffused Error Contraction
    Z. Yue, C. C. Loy
    Technical report, arXiv:2212.06512, 2022
    [arXiv] [Project Page] [Demo]
  • Towards Robust Blind Face Restoration with Codebook Lookup Transformer
    S. Zhou, K. C. K. Chan, C. Li, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2022 (NeurIPS)
     [arXiv] [Project Page] [Demo]
  • GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond
    K. C. K. Chan, X. Wang, X. Xu, J. Gu, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • Investigating Trade-offs in Real-World Video Super-Resolution
    K. C. K. Chan, S. Zhou, X. Xu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
    K. C. K. Chan, S. Zhou, X. Xu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
    K. C. K. Chan, X. Wang, X. Xu, J. Gu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
    K. C. K. Chan, X. Wang, K. Yu, C. Dong, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Robust Reference-based Super-Resolution via C2-Matching
    Y. Jiang, K. C. K. Chan, X. Wang, C. C. Loy, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Understanding Deformable Alignment in Video Super-Resolution
    K. C. K. Chan, X. Wang, K. Yu, C. Dong, C. C. Loy
    in Proceedings of AAAI Conference on Artificial Intelligence, 2021 (AAAI)
     [arXiv] [Project Page]
  • Cross-Scale Internal Graph Neural Network for Image Super-Resolution
    S. Zhou, J. Zhang, W. Zuo, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2020 (NeurIPS)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Non-Local Recurrent Network for Image Restoration
    D. Liu, B. Wen, Y. Fan, C. C. Loy, T. S. Huang
    in Proceedings of Neural Information Processing Systems, 2018 (NeurIPS)
    [PDF] [arXiv] [Project Page]
  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
    X. Wang, K. Yu, S. Wu, J. Gu, Y. Liu, C. Dong, Y. Qiao, C. C. Loy
    in Workshop Proceedings of European Conference on Computer Vision, 2018 (ECCVW)
     [PDF] [arXiv] [Project Page]

Restoration | Enhancement

  • Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
    N. Zheng, M. Zhou, C. Zhou, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [Coming Soon]
  • Video Infilling with Rich Motion Prior
    X. Hou, L. Jiang, R. Shao, C. C. Loy
    in Proceedings of British Machine Vision Conference, 2023 (BMVC)
     [Coming Soon]
  • Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
    Z. Liang, C. Li, S. Zhou, R. Feng, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV, Oral)
     [PDF] [arXiv] [Project Page]
  • ProPainter: Improving Video Inpainting with Enhanced Propagation and Efficient Transformer
    S. Zhou, C. Li, K. C. K. Chan, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Deep Geometrized Cartoon Line Inbetweening
    L. Siyao, T. Gu, W. Xiao, H. Ding, Z. Liu, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [Supplementary Material] [Project Page]
  • Adaptive Window Pruning for Efficient Local Motion Deblurring
    H. Li, J. Zhao, S. Zhou, H. Feng, C. Li, C. C. Loy
    Technical report, arXiv:2306.14268, 2023
    [arXiv] [Project Page]
  • Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
    Y. Dai, C. Li, S. Zhou, R. Feng, Y. Luo, C. C. Loy
    Technical report, arXiv:2306.04236, 2023
    [arXiv] [Project Page]
  • Nighttime Smartphone Reflective Flare Removal using Optical Center Symmetry Prior
    Y. Dai, Y. Luo, S. Zhou, C. Li, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR, Highlight)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
    R. Feng, C. Li, H. Chen, S. Li, J. Gu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Flexible Piecewise Curves Estimation for Photo Enhancement
    C. Li, C. Guo, Q. Ai, S. Zhou, C. C. Loy
    in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, NTIRE, 2023 (CVPRW)
     [arXiv]
  • Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
    C. Li, C. Guo, M. Zhou, Z. Liang, S. Zhou, R. Feng, C. C. Loy
    International Conference on Learning Representations, 2023 (ICLR, Oral)
     [arXiv] [Project Page]
  • Exploring CLIP for Assessing the Look and Feel of Images
    J. Wang, K. C. K. Chan, C. C. Loy
    in Proceedings of AAAI Conference on Artificial Intelligence, 2023 (AAAI)
     [arXiv] [Project Page]
  • AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
    L. Siyao, Y. Li, B. Li, C. Dong, Z. Liu, C. C. Loy
    in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2022 (NeurIPS)
     [arXiv] [Project Page]
  • Flare7K: A Phenomenological Nighttime Flare Removal Dataset
    Y. Dai, C. Li, S. Zhou, R. Feng, C. C. Loy
    in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2022 (NeurIPS)
     [arXiv] [Project Page]
  • Deep Fourier Up-Sampling
    M. Zhou, H. Yu, J. Huang, F. Zhao, J. Gu, C. C. Loy, D. Meng, C. Li
    in Proceedings of Neural Information Processing Systems, 2022 (NeurIPS)
     [arXiv] [Project Page]
  • CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
    C. Li, C. Guo, R. Feng, S. Zhou, C. C. Loy
    Technical report, arXiv:2207.14273, 2022
    [arXiv] [Project Page]
  • LEDNet: Joint Low-light Enhancement and Deblurring in the Dark
    S. Zhou, C. Li, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • On the Generalization of BasicVSR++ to Video Deblurring and Denoising
    K. C. K. Chan, S. Zhou, X. Xu, C. C. Loy
    Technical report, arXiv:2204.05308, 2022
    [arXiv] [Project Page]
  • Low-Light Image and Video Enhancement Using Deep Learning: A Survey
    C. Li, C. Guo, L. Han, J. Jiang, M. Cheng, J. Gu, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
    Y. Liu, H. Zhao, K. C. K. Chan, X. Wang, C. C. Loy, Y. Qiao, C. Dong
    Technical report, arXiv:2110.04562, 2021
    [arXiv]
  • Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
    X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
     [DOI] [Project Page]
  • ReconfigISP: Reconfigurable Camera Image Processing Pipeline
    K. Yu, Z. Li, Y. Peng, C. C. Loy, J. Gu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Path-Restore: Learning Network Path Selection for Image Restoration
    K. Yu, X. Wang, C. Dong, X. Tang, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
    C. Li, C. Guo, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
    R. Feng, C. Li, H. Chen, S. Li, C. C. Loy, J. Gu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Deep Animation Video Interpolation in the Wild
    L. Siyao, S. Zhao, W. Yu, W. Sun, D. Metaxas, C. C. Loy, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
    X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo
    European Conference on Computer Vision, 2020 (ECCV, Oral)
     [PDF] [arXiv] [Project Page]
  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
    C. Guo, C. Li, J. Guo, C. C. Loy, J. Hou, S. Kwong, R. Cong
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
    X. Wang, C. K. Chan, K. Yu, C. Dong, X. Tang, C. C. Loy
    in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, NTIRE, 2019 (CVPRW)
     [PDF] [arXiv] [Project Page]
  • Deep Network Interpolation for Continuous Imagery Effect Transition
    X. Wang, K. Yu, C. Dong, X. Tang, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [arXiv] [Project Page]

Optical Flow Estimation

  • LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
    T.-W. Hui, C. C. Loy
    European Conference on Computer Vision, 2020 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
    T.-W. Hui, X. Tang, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 (TPAMI)
     [DOI] [arXiv] [Project Page]

Editing and Generation

We like algorithms that could generate new visual contents, e.g., face generation, face reenactment, image inpainting, scene de-occlusion, etc.

Face Editing

  • StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
    S. Yang, L. Jiang, Z. Liu, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [Demo]
  • Collaborative Diffusion for Multi-Modal Face Generation and Editing
    Z. Huang, K.C.K. Chan, Y. Jiang, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • CelebV-Text: A Large-Scale Facial Text-Video Dataset
    J. Yu, H. Zhu, L. Jiang, C. C. Loy, W. Cai, W. Wu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • BeautyREC: Robust, Efficient, and Content-preserving Makeup Transfer
    Q. Yan, C. Guo, J. Zhao, Y. Dai, C. C. Loy, C. Li
    in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, NTIRE, 2023 (CVPRW)
     [arXiv] [Project Page]
  • VToonify: Controllable High-Resolution Portrait Video Style Transfer
    S. Yang, L. Jiang, Z. Liu, C. C. Loy
    ACM Transactions on Graphics, 2022 (SIGGRAPH ASIA - TOG)
     [DOI] [arXiv] [Project Page] [YouTube]
  • Audio-driven Dubbing for User Generated Contents via Style-aware Semi-parametric Synthesis
    L. Song, W. Wu, C. Fu, C. C. Loy, R. He
    IEEE Transactions on Circuits and Systems for Video Technology, 2022 (TCVST)
     [DOI]
  • CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
    H. Zhu, W. Wu, W. Zhu, L. Jiang, S. Tang, L. Zhang, Z. Liu, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
    Y. Xu, Y. Yin, L. Jiang, Q. Wu, C. Zheng, C. C. Loy, B. Dai, W. Wu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Talking Faces: Audio-to-Video Face Generation
    Y. Wang, L. Song, W. Wu, C. Qian, R. He, C. C. Loy
    In C. Rathgeb, R. Tolosana, R. Vera-Rodriguez, C. Busch (Eds.), Handbook of Digital Face Manipulation and Detection, Springer, 2022
     [Book Link]
  • Everybody’s Talkin’: Let Me Talk as You Want
    L. Song, W. Wu, C. Qian, R. He, C. C. Loy
    IEEE Transactions on Information Forensics and Security, 2022 (TIFS)
     [DOI] [arXiv] [Project Page]
  • Talk-to-Edit: Fine-Grained Facial Editing via Dialog
    Y. Jiang, Z. Huang, X. Pan, C. C. Loy, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
    H. Zhou, Y. Sun, W. Wu, C. C. Loy, X. Wang, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Pareidolia Face Reenactment
    L. Song, W. Wu, C. Fu, C. Qian, C. C. Loy, R. He
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • Audio-Driven Emotional Video Portraits
    X. Ji, H. Zhou, K. Wang, W. Wu, X. Cao, C. C. Loy, F. Xu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation
    K. Wang, Q. Wu, L. Song, Z. Yang, W. Wu, C. Qian, R. He, Y. Qiao, C. C. Loy
    European Conference on Computer Vision, 2020 (ECCV)
     [PDF] [Supplementary Material] [Project Page]
  • One-shot Face Reenactment
    Y. Zhang, S. Zhang, Y. He, C. Li, C. C. Loy, Z. Liu
    in Proceedings of British Machine Vision Conference, 2019 (BMVC, Spotlight)
     [PDF] [arXiv] [Project Page]
  • Instance-level Facial Attributes Transfer with Geometry-aware Flow
    W. Yin, Z. Liu, C. C. Loy
    in Proceedings of AAAI Conference on Artificial Intelligence, 2019 (AAAI, Spotlight)
     [PDF] [arXiv] [Project Page]
  • ReenactGAN: Learning to Reenact Faces via Boundary Transfer
    W. Wu, Y. Zhang, C. Li, C. Qian, C. C. Loy
    in Proceedings of European Conference on Computer Vision, 2018 (ECCV)
     [PDF] [arXiv] [Project Page] [YouTube]

Image and Video Generation

  • Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
    S. Yang, Y. Zhou, Z. Liu, C. C. Loy
    SIGGRAPH ASIA, 2023
    [arXiv] [Project Page]
  • Bailando++: 3D Dance GPT with Choreographic Memory
    L. Siyao. W. Yu, T. Gu, C. Lin, Q. Wang, C. Qian, C. C. Loy, Z. Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
     [Coming Soon]
  • GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
    S. Yang, L. Jiang, Z. Liu, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • Text2Performer: Text-Driven Human Video Generation
    Y. Jiang, S. Yang, T. L. Koh, W. Wu, C. C. Loy, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
    J. Fu, S. Li, Y. Jiang, K.-Y. Lin, W. Wu, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
    Y. Wang, L. Jiang, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
    Y. Jiang, L. Jiang, S. Yang, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [Demo]
  • FreeU: Free Lunch in Diffusion U-Net
    C. Si, Z. Huang, Y. Jiang, Z. Liu
    Technical report, arXiv:2308.14492, 2023
    [arXiv] [Project Page]
  • Hierarchy Flow For High-Fidelity Image-to-Image Translation
    W. Fan, J. Chen, Z. Liu
    Technical report, arXiv:2308.06909, 2023
    [arXiv] [Project Page]
  • ReVersion: Diffusion-Based Relation Inversion from Images
    Z. Huang, T. Wu, Y. Jiang, K. C. K. Chan, Z. Liu
    Technical report, arXiv:2303.13509, 2023
    [arXiv] [Project Page]
  • The Nuts and Bolts of Adopting Transformer in GANs
    R. Xu and X. Xu and K. Chen and B. Zhou and C. C. Loy
    in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, AI4CC, 2023 (CVPRW)
     [arXiv] [Project Page]
  • Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
    Z. Chen, G. Wang, Z. Liu
    ACM Transactions on Graphics, 2022 (SIGGRAPH ASIA - TOG)
     [DOI] [arXiv] [Project Page] [YouTube]
  • StyleFaceV: Face Video Generation via Decomposing and Recomposing Pretrained StyleGAN3
    H. Qiu, Y. Jiang, H. Zhou, W. Wu, Z. Liu
    Technical report, arXiv:2208.07862, 2022
    [arXiv] [Project Page]
  • BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
    D. Moltisanti, J. Wu, B. Dai, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
    G. Wang, Y. Yang, C. C. Loy, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
    L. Zhuo, G. Wang, S. Li, W. Wu, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • StyleGAN-Human: A Data-Centric Odyssey of Human Generation
    J. Fu, S. Li, Y. Jiang, K.-Y. Lin, C. Qian, C. C. Loy, W. Wu, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • Text2Human: Text-Driven Controllable Human Image Generation
    Y. Jiang, S. Yang, H. Qiu, W. Wu, C. C. Loy, Z. Liu
    ACM Transactions on Graphics, 2022 (SIGGRAPH - TOG)
     [DOI] [arXiv] [Project Page] [YouTube]
  • Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
    S. Yang, L. Jiang, Z. Liu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • Unsupervised Image-to-Image Translation with Generative Prior
    S. Yang, L. Jiang, Z. Liu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
    L. Siyao, W. Yu, T. Gu, C. Lin, Q. Wang, C. Qian, C. C. Loy, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • Full-Range Virtual Try-On with Recurrent Tri-Level Transformation
    H. Yang, X. Yu, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [Supplementary Material]
  • Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis
    J. Wang, Y. Rong, J. Liu, S. Yan, D. Lin, B. Dai
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material]
  • MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
    W. Zhu, Z. Yang, Z. Di, W. Wu, Y. Wang, C. C. Loy
    in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
     [arXiv] [Project Page]
  • Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
    L. Jiang, B. Dai, W. Wu, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page] [YouTube]
  • Focal Frequency Loss for Image Reconstruction and Synthesis
    L. Jiang, B. Dai, W. Wu, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • BlockPlanner: City Block Generation with Vectorized Graph Representation
    L. Xu, Y. Xiangli, A. Rao, N. Zhao, B. Dai, Z. Liu, D. Lin
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [Supplementary Material]
  • Positional Encoding as Spatial Inductive Bias in GANs
    R. Xu, X. Wang, K. Chen, B. Zhou, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • Scene-aware Generative Network for Human Motion Synthesis
    J. Wang, S. Yan, B. Dai, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [Supplementary Material] [Project Page]
  • Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
    X. Pan, B. Dai, Z. Liu, C. C. Loy, P. Luo
    International Conference on Learning Representations, 2021 (ICLR, Oral)
     [PDF] [arXiv] [Project Page]
  • Texture Memory-Augmented Deep Patch-Based Image Inpainting
    R. Xu, M. Guo, J. Wang, X. Li, B. Zhou, C. C. Loy
    IEEE Transactions on Image Processing, 2021 (TIP)
     [DOI] [arXiv]
  • Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
    X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo
    European Conference on Computer Vision, 2020 (ECCV, Oral)
     [PDF] [arXiv] [Project Page]
  • TSIT: A Simple and Versatile Framework for Image-to-Image Translation
    L. Jiang, C. Zhang, M. Huang, C. Liu, J. Shi, C. C. Loy
    European Conference on Computer Vision, 2020 (ECCV, Spotlight)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Self-Supervised Scene De-occlusion
    X. Zhan, X. Pan, B. Dai, Z. Liu, D. Lin, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR, Oral)
    [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
    Z. Yang, W. Zhu, W. Wu, C. Qian, Q. Zhou, B. Zhou, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Real or Not Real, That is the Question
    Y. Xiangli, Y. Deng, B. Dai, C. C. Loy, D. Lin
    International Conference on Learning Representations, 2020 (ICLR, Spotlight)
     [PDF] [Project Page]
  • High-Quality Video Generation from Static Structural Annotations
    L. Sheng, J. Pan, J. Guo, J. Shao, C. C. Loy
    International Journal of Computer Vision, 2020 (IJCV)
     [DOI]
  • TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
    W. Wu, K. Cao, C. Li, C. Qian, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Deep Flow-Guided Video Inpainting
    R. Xu, X. Li, B. Zhou, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [arXiv] [Project Page]
  • Dense Intrinsic Appearance Flow for Human Pose Transfer
    Y. Li, C. Huang, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [Supplementary Material] [Project Page]
  • Disentangling Content and Style via Unsupervised Geometry Distillation
    W. Wu, K. Cao, C. Li, C. Qian, C. C. Loy
    International Conference on Learning Representations Workshop, 2019 (ICLRW)
    [PDF]

Simulation

  • Towards Multi-Layered 3D Garments Animation
    Y. Shao, C. C. Loy, B. Dai
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Transformer with Implicit Edges for Particle-based Physics Simulation
    Y. Shao, C. C. Loy, B. Dai
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Project Page]

Visual and Sound

  • Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
    X. Liu, Q. Wu, H. Zhou, Y. Xu, R. Qian, X. Lin, X. Zhou, W. Wu, B. Dai, B. Zhou
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Visual Sound Localization in-the-Wild by Cross-Modal Interference Erasing
    X. Liu, R. Qian, H. Zhou, W. lin, Z. Liu, B. Zhou, X. Zhou
    in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
     [PDF] [arXiv]
  • SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation
    D. Zhou, X. Zhou, D. Hu, H. Zhou, L. Bai, Z. Liu, W. Ouyang
    in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
     [PDF]
  • Visually Informed Binaural Audio Generation without Binaural Audios
    X. Xu, H. Zhou, Z. Liu, B. Dai, X. Wang, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]

Image and Video Understanding

We explore effective and efficient methods to detect, segment and recognize objects in complex scenes.

Image Recognition

  • 4D Panoptic Scene Graph Generation
    J. Yang, J. Cen, W. Peng, S. Liu, F. Hong, X. Li, K. Zhou, Q. Chen, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight)
     [Coming Soon]
  • Interpret Vision Transformers as ConvNets with Dynamic Convolutions
    C. Zhou, C. C. Loy, B. Dai
    Technical report, arXiv:2309.10713, 2023
    [arXiv]
  • Benchmarking and Analyzing Generative Data for Visual Recognition
    B. Li, H. Liu, L. Chen, Y. J. Lee, C. Li, Z. Liu
    Technical report, arXiv:2307.13697, 2023
    [arXiv]
  • Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
    J. Wang, Z. Wen, X. Li, Z. Guo, J. Yang, Z. Liu
    Technical report, arXiv:2307.08699, 2023
    [arXiv] [Project Page]
  • Panoptic Video Scene Graph Generation
    J. Yang, W. Peng, X. Li, Z. Guo, L. Chen, B. Li, Z. Ma, W. Zhang, K. Zhou, C. C. Loy, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF]
  • X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
    Y. He, Ge. Huang, S. Chen, J. Teng, K. Wang, Z. Yin, L. Sheng, Z. Liu, Y. Qiao, J. Shao
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material]
  • Benchmarking Omni-Vision Representation through the Lens of Visual Realms
    Y. Zhang, Z. Yin, J. Shao, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material][arXiv] [Project Page]
  • Panoptic Scene Graph Generation
    J. Yang, Y. Z. Ang, Z. Guo, K. Zhou, W. Zhang, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
    Y. Zhang, Q. Sun, Y. Zhou, Z. He, Z. Yin, K. Wang, L. Sheng, Y. Qiao, J. Shao, Z. Liu
    Technical report, arXiv:2203.07845, 2022
    [arXiv] [Project Page]
  • Incorporating Convolution Designs into Visual Transformers
    K. Yuan, S. Guo, Z. Liu, A. Zhou, F. Yu, W. Wu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv]
  • Differentiable Dynamic Wirings for Neural Networks
    K. Yuan, Q. Li, S. Guo, D. Chen, A. Zhou, F. Yu, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF]

Object Detection

  • Aligning Bag of Regions for Open-Vocabulary Object Detection
    S. Wu, W. Zhang, S. Jin, W. Liu, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Siamese DETR
    Z. Chen, G. Huang, W. Li, J. Teng, K. Wang, J. Shao, C. C. Loy, L. Sheng
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
    Y. Zang, K. Zhou, C. Huang, C. C. Loy
    International Journal of Computer Vision, 2022 (IJCV)
     [PDF] [DOI] [arXiv] [Project Page]
  • Open-Vocabulary DETR with Conditional Matching
    Y. Zang, W. Li, K. Zhou, C. Huang, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Few-Shot Object Detection via Association and Discrimination
    Y. Cao, J. Wang, Y. Jin, T. Wu, K. Chen, Z. Liu, D. Lin
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page]
  • CARAFE++: Unified Content-Aware ReAssembly of FEatures
    J. Wang, K. Chen, R. Xu, Z. Liu, C. C. Loy, D. Lin
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
    [DOI] [arXiv]
  • Side-Aware Boundary Localization for More Precise Object Detection
    J. Wang, W. Zhang, Y. Cao, K. Chen, J. Pang, T. Gong, J. Shi, C. C. Loy, D. Lin
    European Conference on Computer Vision, 2020 (ECCV)
     [PDF] [arXiv] [Supplementary Material]
  • RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
    C. Li, R. Cong, Y. Piao, Q. Xu, C. C. Loy
    European Conference on Computer Vision, 2020 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Feature Pyramid Grids
    K. Chen, Y. Cao, C. C. Loy, D. Lin, C. Feichtenhofer
    Technical report, arXiv:2004.03580, 2020
    [arXiv]
  • Prime Sample Attention in Object Detection
    Y. Cao, K. Chen, C. C. Loy, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • CARAFE: Content-Aware ReAssembly of FEatures
    J. Wang, K. Chen, R. Xu, Z. Liu, C. C. Loy, D. Lin
    in Proceedings of International Conference on Computer Vision, 2019 (ICCV, Oral)
    [PDF] [arXiv] [Supplementary Material]
  • Region Proposal by Guided Anchoring
    J. Wang, K. Chen, S. Yang, C. C. Loy, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [arXiv] [Project Page]

Segmentation

  • Rethinking Range View Representation for LiDAR Segmentation
    L. Kong, Y. Liu, R. Chen, Y. Ma, X. Zhu, Y. Li, Y. Hou, Y. Qiao, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
    X. Li, H. Yuan, W. Zhang, G. Cheng, J. Pang, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
    J. Wu, X. Li, H. Ding, X. Li, G. Cheng, Y. Tong, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
    H. Ding, C. Liu, S. He, X. Jiang, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • SAD: Segment Any RGBD
    J. Cen, Y. Wu, K. Wang, X. Li, J. Yang, Y. Pei, L. Kong, Z. Liu, Q. Chen
    Technical report, arXiv:2305.14207, 2023
    [arXiv] [Project Page]
  • Transformer-Based Visual Segmentation: A Survey
    X. Li, H. Ding, W. Zhang, H. Yuan, J. Pang, G. Cheng, K. Chen, Z. Liu, C. C. Loy
    Technical report, arXiv:2304.09854, 2023
    [arXiv] [Project Page]
  • LaserMix for Semi-Supervised LiDAR Semantic Segmentation
    L. Kong, J. Ren, L. Pan, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR, Highlight)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Video K-Net: A Simple, Strong, and Unified Baseline For End-to-End Dense Video Segmentation
    X. Li, W. Zhang, J. Pang, K. Chen, G. Cheng, Y. Tong, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
    K. T. R. Voo, L. Jiang, C. C. Loy
    in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, VDU, 2022 (CVPRW)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • K-Net: Towards Unified Image Segmentation
    W. Zhang, J. Pang, K. Chen, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page]
  • FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
    Y. Zang, C. Huang, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Seesaw Loss for Long-Tailed Instance Segmentation
    J. Wang, W. Zhang, Y. Zang, Y. Cao, J. Pang, T. Gong, K. Chen, Z. Liu, C. C. Loy, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material]
  • Hybrid Task Cascade for Instance Segmentation
    K. Chen, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Shi, W. Ouyang, C. C. Loy, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [arXiv] [Project Page]
  • Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
    X. Li, C. C. Loy
    in Proceedings of European Conference on Computer Vision, 2018 (ECCV)
     [PDF] [arXiv]
  • PSANet: Point-wise Spatial Attention Network for Scene Parsing
    H. Zhao, Y. Zhang, S. Liu, J. Shi, C. C. Loy, D. Lin, J. Jia
    in Proceedings of European Conference on Computer Vision, 2018 (ECCV)
     [PDF] [Project Page]

Tracking and Association

  • Towards Real-World Visual Tracking with Temporal Contexts
    Z. Cao, Z. Huang, L. Pan, S. Zhang, Z. Liu, C. Fu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • TCTrack: Temporal Contexts for Aerial Tracking
    Z. Cao, Z. Huang, L. Pan, S. Zhang, Z. Liu, C. Fu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • MessyTable: Instance Association in Multiple Camera Views
    Z. Cai, J. Zhang, D. Ren, C. Yu, H. Zhao, S. Yi, C. K. Yeo, C. C. Loy
    European Conference on Computer Vision, 2020 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Robust Multi-Modality Multi-Object Tracking
    W. Zhang, H. Zhou, S. Sun, Z. Wang, J. Shi, C. C. Loy
    in Proceedings of International Conference on Computer Vision, 2019 (ICCV)
    [PDF] [arXiv] [Project Page]

Action Recognition

  • Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
    Y. Xu, F. Wei, X. Sun, C. Yang, Y. Shen, B. Dai, B. Zhou, S. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Revisiting Skeleton-based Action Recognition
    H. Duan, Y. Zhao, K. Chen, D. Lin, B. Dai
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • TAda! Temporally-Adaptive Convolutions for Video Understanding
    Z. Huang, S. Zhang, L. Pan, Z. Qing, M. Tang, Z. Liu, M. H. Ang Jr
    International Conference on Learning Representations, 2022 (ICLR)
     [arXiv]

3D Scene Understanding and Reconstruction

Our team has been working on various tasks related to 3D reconstruction and perception, e.g, 3D shape generation and 3D human recovery

3D Reconstruction | Generation

  • PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
    Z. Chen, F. Hong, H. Mei, G. Wang, L. Yang, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [Coming Soon]
  • InsActor: Instruction-driven Physics-based Characters
    J. Ren, M. Zhang, C. Yu, X. Ma, L. Pan, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [Coming Soon]
  • FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
    M. Zhang, H. Li, Z. Cai, J. Ren, L. Yang, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [Coming Soon]
  • Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
    H. E. Pang, Z. Cai, L. Yang, T. Zhang, Q. Tao, Z. Wu, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [Coming Soon]
  • SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
    Z. Chen, G. Wang, Z. Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
     [arXiv] [Project Page]
  • RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
    D. Pan, L. Zhuo, J. Piao, H. Luo, W. Cheng, Y. Wang, S. Fan, S. Liu, L. Yang, B. Dai, Z. Liu, C. C. Loy, C. Qian, W. Wu, D. Lin, K.-Y. Lin
    in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2023 (NeurIPS)
     [arXiv] [Project Page]
  • SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
    Z. Cai, W. Yin, A. Zeng, C. Wei, Q. Sun, Y. Wang, H. E. Pang, H. Mei, M. Zhang, L. Zhang, C. C. Loy, L. Yang, Z. Liu
    in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2023 (NeurIPS)
     [Coming Soon]
  • Large-Vocabulary 3D Diffusion Model with Transformer
    Z. Cao, F. Hong, T. Wu, L. Pan, Z. Liu
    Technical report, arXiv:2309.02434, 2023
    [arXiv] [Project Page]
  • ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
    M. Zhang, X. Guo, L. Pan, Z. Cai, F. Hong, H. Li, L. Yang, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
    Z. Yang, Z. Cai, H. Mei, S. Liu, Z. Chen, W. Xiao, Y. Wei, Z. Qing, C. Wei, B. Dai, W. Wu, C. Qian, D. Lin, Z. Liu, L. Yang
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
    J. Zhang, Y. Lan, S. Yang, F. Hong, Q. Wang, C. K. Yeo, Z. Liu, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
    G. Wang, Z. Chen, C. C. Loy, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • SHERF: Generalizable Human NeRF from a Single Image
    S. Hu, F. Hong, L. Pan, H. Mei, L. Yang, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
    W. Cheng, R. Chen, K. Chen, Z. Cai, B. Dai, S. Fan, Y. Gao, Z. Lin, D. Lin, Z. Liu, K.-Y. Lin, C. C. Loy, C. Qian, D. Ren, W. Wu, J. Wang, Z. Yu, W. Yin, L. Yang
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • Correspondence Distillation from NeRF-based GAN
    Y. Lan, C. C. Loy, B. Dai
    International Journal of Computer Vision, 2023 (IJCV)
     [PDF] [DOI] [arXiv] [Project Page]
  • ReliTalk: Relightable Talking Portrait Generation from a Single Video
    H. Qiu, Z. Chen, Y. Jiang, H. Zhou, X. Fan, L. Yang, W. Wu, Z. Liu
    Technical report, arXiv:2309.02434, 2023
    [arXiv] [Project Page]
  • CityDreamer: Compositional Generative Model of Unbounded 3D Cities
    H. Xie, Z. Chen, F. Hong, Z. Liu
    Technical report, arXiv:2309.00610, 2023
    [arXiv] [Project Page]
  • HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
    S. Hu, F. Hong, T. Hu, L. Pan, H. Mei, W. Xiao, L. Yang, Z. Liu
    Technical report, arXiv:2308.09712, 2023
    [arXiv] [Project Page]
  • Variational Relational Point Completion Network for Robust 3D Classification
    L. Pan, X. Chen, Z. Cai, J. Zhang, H. Zhao, S. Yi, Z. Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
     [DOI] [arXiv] [Project Page]
  • ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
    S. Hu, K. Zhou, K. Li, L. Yu, L. Hong, T. Hu, Z. Li, G. H. Lee, Z. Liu
    Technical report, arXiv:2305.11031, 2023
    [arXiv] [Project Page]
  • Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations
    Q. Li, J. Wang, C. C. Loy, B. Dai
    Technical report, arXiv:2303.13129, 2023
    [arXiv]
  • F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
    P. Wang, Y. Liu, Z. Chen, L. Liu, Z. Liu, T. Komura, C. Theobalt, W. Wang
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR, Highlight)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
    T. Wu, J. Zhang, X. Fu, Y. Wang, J. Ren, L. Pan, W. Wu, L. Yang, J. Wang, C. Qian, D. Lin, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR, Highlight)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
    Y. Lan, X. Meng, S. Yang, C. C. Loy, B. Dai
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • EVA3D: Compositional 3D Human Generation from 2D Image Collections
    F. Hong, Z. Chen, Y. Lan, L. Pan, Z. Liu
    International Conference on Learning Representations, 2023 (ICLR, Spotlight)
     [arXiv] [Project Page] [YouTube]
  • DiffMimic: Efficient Motion Mimicking with Differentiable Physics
    J. Ren, C. Yu, S. Chen, X. Ma, L. Pan, Z. Liu
    International Conference on Learning Representations, 2023 (ICLR)
     [PDF] [arXiv] [Project Page]
  • MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
    M. Zhang, Z. Cai, L. Pan, F. Hong, X. Guo, L. Yang, Z. Liu
    Technical report, arXiv:2208.15001, 2022
    [arXiv] [Project Page]
  • Relighting4D: Neural Relightable Human from Videos
    Z. Chen, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Monocular 3D Object Reconstruction with GAN Inversion
    J. Zhang, D. Ren, Z. Cai, C. K. Yeo, B. Dai, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
    Z. Cai, D. Ren, A. Zeng, Z. Lin, T. Yu, W. Wang, X. Fan, Y. Gao, Y. Yu, L. Pan, F. Hong, M. Zhang, C. C. Loy, L. Yang, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube]
  • AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
    F. Hong, M. Zhang, L. Pan, Z. Cai, L. Yang, Z. Liu
    ACM Transactions on Graphics, 2022 (SIGGRAPH - TOG)
     [DOI] [arXiv] [Project Page]
  • Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory
    Y. Rong, Z. Liu, C. C. Loy
    IEEE Transactions on Image Processing, 2022 (TIP)
     [DOI] [arXiv] [Project Page]
  • CityNeRF: Building NeRF at City Scale
    Y. Xiangli, L. Xu, X. Pan, N. Zhao, A. Rao, C. Theobalt, B. Dai, D. Lin
    Technical report, arXiv:2112.05504, 2021
    [arXiv] [Project Page]
  • Robust Partial-to-Partial Point Cloud Registration in a Full Range
    L. Pan, Z. Cai, Z. Liu
    Technical report, arXiv:2111.15606, 2021
    [arXiv] [Project Page]
  • Playing for 3D Human Recovery
    Z. Cai, M. Zhang, J. Ren, C. Wei, D. Ren, J. Li, Z. Lin, H. Zhao, S. Yi, L. Yang, C. C. Loy, Z. Liu
    Technical report, arXiv:2110.07588, 2021
    [arXiv] [Project Page]
  • A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
    X. Pan, X. Xu, C. C. Loy, C. Theobalt, B. Dai
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page]
  • Garment4D: Garment Reconstruction from Point Cloud Sequences
    F. Hong, L. Pan, Z. Cai, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [Project Page]
  • Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
    T. Wu, L. Pan, J. Zhang, T. Wang, Z. Liu, D. Lin
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page]
  • Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
    X. Xu, X. Pan, D. Lin, B. Dai
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page]
  • Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
    Y. Rong, J. Wang, Z. Liu, C. C. Loy
    in Proceedings of International Conference on 3D Vision, 2021 (3DV)
     [arXiv] [Project Page]
  • 3D Human Texture Estimation from a Single Image with Transformers
    X. Xu, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV, Oral)
     [PDF] [arXiv] [Project Page]
  • Variational Relational Point Completion Network
    L. Pan, X. Chen, Z. Cai, J. Zhang, H. Zhao, S. Yi, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Unsupervised 3D Shape Completion through GAN Inversion
    J. Zhang, X. Chen, Z. Cai, L. Pan, H. Zhao, S. Yi, C. K. Yeo, B. Dai, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
    X. Pan, B. Dai, Z. Liu, C. C. Loy, P. Luo
    International Conference on Learning Representations, 2021 (ICLR, Oral)
     [PDF] [arXiv] [Project Page]
  • Delving Deep into Hybrid Annotations for 3D Human Recovery in the Wild
    Y. Rong, Z. Liu, C. Li, K. Cao, C. C. Loy
    in Proceedings of International Conference on Computer Vision, 2019 (ICCV)
    [PDF] [arXiv] [Project Page] [Supplementary Material]

3D Perception

  • Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
    Y. Liu, L. Kong, J. Cen, R. Chen, W. Zhang, L. Pan, K. Chen, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight)
     [arXiv] [Project Page]
  • Explore In-Context Learning for 3D Point Cloud Understanding
    Z. Fang, X. Li, X. Li, J. M. Buhmann, C. C. Loy, M. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight)
     [arXiv] [Project Page]
  • Robo3D: Towards Robust and Reliable 3D Perception Against Corruptions
    L. Kong, Y. Liu, X. Li, R. Chen, W. Zhang, J. Ren, L. Pan, K. Chen, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
     [PDF] [arXiv] [Project Page]
  • PointHPS: Cascaded 3D Human Pose and Shape Estimation from Point Clouds
    Z. Cai, L. Pan, C. Wei, W. Yin, F. Hong, M. Zhang, C. C. Loy, L. Yang, Z. Liu
    Technical report, arXiv:2308.14492, 2023
    [arXiv]
  • RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions
    S. Xie, L. Kong, W. Zhang, J. Ren, L. Pan, K. Chen, Z. Liu
    Technical report, arXiv:2304.06719, 2023
    [arXiv] [Project Page]
  • Position-Guided Point Cloud Panoptic Segmentation Transformer
    Z. Xiao, W. Zhang, T. Wang, C. C. Loy, D. Lin, J. Pang
    Technical report, arXiv:2303.13509, 2023
    [arXiv] [Project Page]
  • Improving Data Augmentation for Multi-Modality 3D Object Detection
    W. Zhang, Z. Wang, C. C. Loy
    International Conference on Learning Representations Workshop, 2023 (ICLRW)
     [arXiv] [Project Page]
  • Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
    H. E. Pang, Z. Cai, L. Yang, T. Zhang, Z. Liu
    in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2022 (NeurIPS)
     [arXiv] [Project Page]
  • Benchmarking and Analyzing Point Cloud Classification under Corruptions
    J. Ren, L. Pan, Z. Liu
    in Proceedings of International Conference on Machine Learning, 2022 (ICML)
     [arXiv] [Project Page]
  • Versatile Multi-Modal Pre-Training for Human-Centric Perception
    F. Hong, L. Pan, Z. Cai, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
     [PDF] [arXiv] [Project Page]
  • LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network
    F. Hong, H. Zhou, X. Zhu, H. Li, Z. Liu
    Technical report, arXiv:2203.07186, 2022
    [arXiv] [Project Page]
  • Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
    Z. Luo, Z. Cai, C. Zhou, G. Zhang, H. Zhao, S. Yi, S. Lu, H. Li, S. Zhang, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material]
  • LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
    F. Hong, H. Zhou, X. Zhu, H. Li, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]

Deep Learning

We investigate new deep learning methods that are more efficient, robust, accurate, scalable, transferable, and explainable.

Multimodal Large Language Models

  • Language Models are Visual Reasoning Coordinators
    L. Chen, B. Li, S. Shen, J. Yang, C. Li, K. Keutzer, T. Darrell, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [Coming Soon]
  • Link-Context Learning for Multimodal LLMs
    Y. Tai, W. Fan, Z. Zhang, F. Zhu, R. Zhao, Z. Liu
    Technical report, arXiv:2308.07891, 2023
    [arXiv] [Project Page]
  • InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
    Y. Wang, Y. He, Y. Li, K. Li, J. Yu, X. Ma, X. Chen, Y. Wang, P. Luo, Z. Liu, Y. Wang, L. Wang, Y. Qiao
    Technical report, arXiv:2307.06942, 2023
    [arXiv] [Project Page]
  • MMBench: Is Your Multi-modal Model an All-around Player?
    Y. Liu, H. Duan, Y. Zhang, B. Li, S. Zhang, W. Zhao, Y. Yuan, J. Wang, C. He, Z. Liu, K. Chen, D. Lin
    Technical report, arXiv:2307.06281, 2023
    [arXiv] [Project Page]
  • FunQA: Towards Surprising Video Comprehension
    B. Xie, S. Zhang, Z. Zhou, B. Li, Y. Zhang, J. Hessel, J. Yang, Z. Liu
    Technical report, arXiv:2306.14899, 2023
    [arXiv] [Project Page]
  • MIMIC-IT: Multi-Modal In-Context Instruction Tuning
    B. Li, Y. Zhang, L. Chen, J. Wang, F. Pu, J. Yang, C. Li, Z. Liu
    Technical report, arXiv:2306.05425, 2023
    [arXiv] [Project Page]
  • Contextual Object Detection with Multimodal Large Language Models
    Y. Zang, W. Li, J. Han, K. Zhou, C. C. Loy
    Technical report, arXiv:2305.14207, 2023
    [arXiv] [Project Page]
  • Otter: A Multi-Modal Model with In-Context Instruction Tuning
    B. Li, Y. Zhang, L. Chen, J. Wang, J. Yang, Z. Liu
    Technical report, arXiv:2305.03726, 2023
    [arXiv] [Project Page]

Unsupervised | Self-Supervised Learning

  • Correlational Image Modeling for Self-Supervised Visual Pre-Training
    W. Li, J. Xie, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Masked Frequency Modeling for Self-Supervised Visual Pre-Training
    J. Xie, W. Li, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
    International Conference on Learning Representations, 2023 (ICLR)
     [arXiv] [Project Page]
  • Delving into Inter-Image Invariance for Unsupervised Visual Representations
    J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
    International Journal of Computer Vision, 2022 (IJCV)
     [PDF] [DOI] [arXiv] [Project Page]
  • Dense Siamese Network for Dense Unsupervised Learning
    W. Zhang, J. Pang, K. Chen, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Self-Supervised Representation Learning: Introduction, Advances and Challenges
    L. Ericsson, H. Gouk, C. C. Loy, T. M. Hospedales
    IEEE Signal Processing Magazine, 2022 (SPM)
     [DOI] [arXiv]
  • Unsupervised Object-Level Representation Learning from Scene Images
    J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
    in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
     [PDF] [arXiv] [Project Page]
  • Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
    X. Wang, Z. Liu, S. X. Yu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Online Deep Clustering for Unsupervised Representation Learning
    X. Zhan, J. Xie, Z. Liu, Y. S. Ong, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Project Page]
  • Self-Supervised Learning via Conditional Motion Propagation
    X. Zhan, X. Pan, Z. Liu, D. Lin, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [arXiv] [Project Page]

Knowledge Distillation

  • Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
    G. Xu, Z. Liu, C. C. Loy
    Pattern Recognition, 2023 (PR)
     [DOI] [arXiv] [Project Page]
  • Mind the Gap in Distilling StyleGANs
    G. Xu, Y. Hou, Z. Liu, C. C. Loy
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Knowledge Distillation Meets Self-Supervision
    G. Xu, Z. Liu, X. Li, C. C. Loy
    European Conference on Computer Vision, 2020 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Residual Knowledge Distillation
    M. Gao, Y. Shen, Q. Li, C. C. Loy
    Technical report, arXiv:2002.09168, 2020
    [arXiv]
  • Inter-Region Affinity Distillation for Road Marking Segmentation
    Y. Hou, Z. Ma, C. Liu, T.-W. Hui, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Learning Lightweight Lane Detection CNNs by Self Attention Distillation
    Y. Hou, Z. Ma, C, Liu, C. C. Loy
    in Proceedings of International Conference on Computer Vision, 2019 (ICCV)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
    Y. Hou, Z. Ma, C. Liu, C. C. Loy
    in Proceedings of AAAI Conference on Artificial Intelligence, 2019 (AAAI, Oral)
     [PDF] [arXiv] [Project Page]
  • An Embarrassingly Simple Approach for Knowledge Distillation
    M. Gao, Y. Shen, Q. Li, C. C. Loy, X. Tang
    Technical report, arXiv:1812.01819, 2018
     [arXiv]

Continual Learning

  • Learning without Forgetting for Vision-Language Models
    D.-W. Zhou, Y. Zhang, J. Ning, H.-J. Ye, D.-C. Zhan, Z. Liu
    Technical report, arXiv:2305.19270, 2023
    [arXiv]
  • Retrospective Class Incremental Learning
    Q. Tao, C. C. Loy, J. Cai, Z. Ge, S. See
    in Proceedings of IEEE International Conference on Multimedia and Expo, 2021 (ICME)
     [PDF]
  • Learning a Unified Classifier Incrementally via Rebalancing
    S. Hou, X. Pan, C. C. Loy, Z. Wang, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
     [PDF] [Project Page]
  • Lifelong Learning via Progressive Distillation and Retrospection
    S. Hou, X. Pan, C. C. Loy, Z. Wang, D. Lin
    in Proceedings of European Conference on Computer Vision, 2018 (ECCV)
     [PDF] [Project Page]

Long-Tailed Recognition

  • Open Long-Tailed Recognition in a Dynamic World
    Z. Liu, Z. Miao, X. Zhan, J. Wang, B. Gong, S. X. Yu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (TPAMI)
     [DOI] [arXiv]
  • Iterative Human and Automated Identification of Wildlife Images
    Z. Miao, Z. Liu, K. M. Gaynor, M. S. Palmer, S. X. Yu, W. M. Getz
    Nature Machine Intelligence, vol. 3, pp. 885–895, 2021 (Nat Mach Intell)
     [DOI] [arXiv]
  • FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
    Y. Zang, C. Huang, C. C. Loy
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Adversarial Robustness under Long-Tailed Distribution
    T. Wu, Z. Liu, Q. Huang, Y. Wang, D. Lin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Long-Tailed Recognition by Routing Diverse Distribution-Aware Experts
    X. Wang, L. Lian, Z. Miao, Z. Liu, S. X. Yu
    International Conference on Learning Representations, 2021 (ICLR)
    [PDF] [arXiv] [Project Page]

Model Uncertainty and Robustness

  • OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
    J. Zhang, J. Yang, P. Wang, H. Wang, Y. Lin, H. Zhang, Y. Sun, X. Du, K. Zhou, W. Zhang, Y. Li, Z. Liu, Y. Chen, H. Li
    Technical report, arXiv:2306.09301, 2023
    [arXiv] [Project Page]
  • Semi-Supervised Domain Generalization with Stochastic StyleMatch
    K. Zhou, C. C. Loy, Z. Liu
    International Journal of Computer Vision, 2023 (IJCV)
     [PDF] [DOI] [arXiv] [Project Page]
  • Sparse Mixture-of-Experts are Domain Generalizable Learners
    B. Li, Y. Shen, J. Yang, Y. Wang, J. Ren, T. Che, J. Zhang, Z. Liu
    International Conference on Learning Representations, 2023 (ICLR, Oral)
     [arXiv] [Project Page]
  • OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
    J. Yang, P. Wang, D. Zou, Z. Zhou, K. Ding, W. Peng, H. Wang, G. Chen, B. Li, Y. Sun, X. Du, K. Zhou, W. Zhang, D. Hendrycks, Y. Li, Z. Liu
    in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2022 (NeurIPS)
     [arXiv] [Project Page]
  • On-Device Domain Generalization
    K. Zhou, Y. Zhang, Y. Zang, J. Yang, C. C. Loy, Z. Liu
    Technical report, arXiv:2209.07521, 2022
    [arXiv]
  • Domain Generalization: A Survey
    K. Zhou, Z. Liu, Y. Qiao, T. Xiang, C. C. Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (TPAMI)
     [DOI] [arXiv]
  • Robust Face Anti-Spoofing with Dual Probabilistic Modeling
    Y. Zhang, Y. Wu, Z. Yin, J. Shao, Z. Liu
    Technical report, arXiv:2204.12685, 2022
    [arXiv]
  • Full-Spectrum Out-of-Distribution Detection
    J. Yang · K. Zhou · Z. Liu
    Technical report, arXiv:2204.05306, 2022
    [arXiv] [Project Page]
  • Balanced MSE for Imbalanced Visual Regression
    J. Ren, M. Zhang, C. Yu, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
    C. Zhang, M. Zhang, S. Zhang, D. Jin, Q. Zhou, Z. Cai, H. Zhao, S. Yi, X. Liu, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Project Page]
  • Generalized Out-of-Distribution Detection: A Survey
    J. Yang, K. Zhou, Y. Li, Z. Liu
    Technical report, arXiv:2110.11334, 2021
    [arXiv] [Project Page]
  • Semantically Coherent Out-of-Distribution Detection
    J. Yang, H. Wang, L. Feng, X. Yan, H. Zheng, W. Zhang, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
    Y. Wang, B. Li, T. Che, K. Zhou, D. Li, Z. Liu
    in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
     [PDF] [arXiv]
  • Optimization Variance: Exploring Generalization Properties of DNNs
    X. Zhang, D. Wu, H. Xiong, B. Dai
    Technical report, arXiv:2106.01714, 2021
    [arXiv]

Network Compression

  • Network Pruning via Resource Reallocation
    Y. Hou, Z. Ma, C. Liu, Z. Wang, C. C. Loy
    Pattern Recognition, 2023 (PR)
     [DOI] [arXiv] [Project Page]
  • EcoNAS: Finding Proxies for Economical Neural Architecture Search
    D. Zhou, X. Zhou, W. Zhang, C. C. Loy, S. Yi, X. Zhang, W. Ouyang
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Supplementary Material]

Zero/Few-shot Learning

  • What Makes Good Examples for Visual In-Context Learning?
    Y. Zhang, K. Zhou, Z. Liu
    in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
     [arXiv] [Project Page]
  • Unified Vision and Language Prompt Learning
    Y. Zang, W. Li, K. Zhou, C. Huang, C. C. Loy
    Technical report, arXiv:2210.07225, 2022
    [arXiv]
  • Extract Free Dense Labels from CLIP
    C. Zhou, C. C. Loy, B. Dai
    European Conference on Computer Vision, 2022 (ECCV, Oral)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Neural Prompt Search
    Y. Zhang, K. Zhou, Z. Liu
    Technical report, arXiv:2206.04673, 2022
    [arXiv] [Project Page]
  • Conditional Prompt Learning for Vision-Language Models
    K. Zhou, J. Yang, C. C. Loy, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
     [PDF] [arXiv] [Project Page]
  • Learning to Prompt for Vision-Language Models
    K. Zhou, J. Yang, C. C. Loy, Z. Liu
    International Journal of Computer Vision, 2022 (IJCV)
     [DOI] [arXiv] [Project Page]

Media Forensics

We collect large-scale datasets and develop new methods for face forgery detection.

Forgery Detection and Anti-Deepfake

  • DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection
    R. Shao, T. Wu, L. Nie, Z. Liu
    Technical report, arXiv:2306.00863, 2023
    [arXiv] [Project Page]
  • Detecting and Grounding Multi-Modal Media Manipulation
    R. Shao, T. Wu, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Detecting and Recovering Sequential DeepFake Manipulation
    R. Shao, T. Wu, Z. Liu
    European Conference on Computer Vision, 2022 (ECCV)
     [PDF] [arXiv] [Supplementary Material] [Project Page]
  • Few-shot Forgery Detection via Guided Adversarial Interpolation
    H. Qiu, S. Chen, B. Gan, K. Wang, H. Shi, J. Shao, Z. Liu
    Technical report, arXiv:2204.05905, 2022
    [arXiv]
  • DeepFakes Detection: the DeeperForensics Dataset and Challenge
    L. Jiang, W. Wu, C. Qian, C. C. Loy
    In C. Rathgeb, R. Tolosana, R. Vera-Rodriguez, C. Busch (Eds.), Handbook of Digital Face Manipulation and Detection, Springer, 2022
     [Book Link]
  • ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
    Y. He, B. Gan, S. Chen, Y. Zhou, G. Yin, L. Song, L. Sheng, J. Shao, Z. Liu
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
    [PDF] [arXiv] [Supplementary Material] [Project Page]
  • DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
    L. Jiang, R. Li, W. Wu, C. Qian, C. C. Loy
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
    [PDF] [arXiv] [Supplementary Material] [Project Page]