Liu, Ce

65 publications

AAAI 2025 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi

ICCV 2025 Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration Baoyou Chen, Ce Liu, Weihao Yuan, Zilong Dong, Siyu Zhu

CVPR 2024 Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan

ICML 2024 Stereo Risk: A Continuous Modeling Approach to Stereo Matching Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool

CVPR 2023 Indiscernible Object Counting in Underwater Scenes Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool

CVPR 2023 LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang

CVPRW 2023 LSDIR: A Large Scale Dataset for Image Restoration Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool

CVPR 2023 Learning Customized Visual Models with Retrieval-Augmented Knowledge Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li

NeurIPS 2023 NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou

CVPR 2023 ReCo: Region-Controlled Text-to-Image Generation Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang

CVPR 2023 Single Image Depth Prediction Made Better: A Multivariate Gaussian Take Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

ICLR 2023 VA-DepthNet: A Variational Approach to Single Image Depth Prediction Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

ICML 2023 X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation Using CLIP and StableDiffusion Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu

NeurIPS 2022 Coarse-to-Fine Vision-Language Pre-Training with Fusion in the Backbone Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang

CVPR 2022 Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang

TMLR 2022 GIT: A Generative Image-to-Text Transformer for Vision and Language Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang

NeurIPS 2022 K-LITE: Learning Transferable Visual Models with External Knowledge Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao

CVPR 2022 MaskGIT: Masked Generative Image Transformer Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman

NeurIPS 2022 OmniVL: One Foundation Model for Image-Language and Video-Language Tasks Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan

CVPR 2022 Pyramid Adversarial Training Improves ViT Performance Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

CVPR 2022 Unified Contrastive Learning in Image-Text-Label Space Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao

ICLR 2022 ViTGAN: Training GANs with Vision Transformers Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu

NeurIPS 2022 Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng

CVPR 2021 AutoFlow: Learning a Better Training Set for Optical Flow Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu

ICCV 2021 COMISR: Compression-Informed Video Super-Resolution Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar

CVPR 2021 LASR: Learning Articulated Shape Reconstruction from a Monocular Video Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu

ICCV 2021 NeRD: Neural Reflectance Decomposition from Image Collections Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P.A. Lensch

NeurIPS 2021 Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan Barron, Hendrik PA Lensch

CVPR 2021 OCONet: Image Extrapolation by Object Completion Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih

CVPR 2021 Regularizing Generative Adversarial Networks Under Limited Data Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang

ICCV 2021 SLIDE: Single Image 3D Photography with Soft Layering and Depth-Aware Inpainting Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu

NeurIPS 2021 ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan

NeurIPS 2020 Supervised Contrastive Learning Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

ECCV 2018 Robust Image Stitching with Multiple Registrations Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih

CVPR 2017 On the Effectiveness of Visible Watermarks Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman

CVPR 2014 A Compositional Model for Low-Dimensional Image Set Representation Hossein Mobahi, Ce Liu, William T. Freeman

NeurIPS 2014 Deep Convolutional Neural Network for Image Deconvolution Li Xu, Jimmy SJ Ren, Ce Liu, Jiaya Jia

CVPR 2014 Local Layering for Joint Motion Estimation and Occlusion Detection Deqing Sun, Ce Liu, Hanspeter Pfister

CVPR 2013 Deformable Spatial Pyramid Matching for Fast Dense Correspondences Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman

CVPRW 2013 Duplicate Discovery on 2 Billion Internet Images Xin-Jing Wang, Lei Zhang, Ce Liu

CVPR 2013 Probabilistic Label Trees for Efficient Large Scale Image Classification Baoyuan Liu, Fereshteh Sadeghi, Marshall Tappen, Ohad Shamir, Ce Liu

ICCV 2013 Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers Phillip Isola, Ce Liu

CVPR 2013 Unsupervised Joint Object Discovery and Segmentation in Internet Images Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu

ECCV 2012 A Bayesian Approach to Alignment-Based Image Hallucination Marshall F. Tappen, Ce Liu

ECCV 2012 Annotation Propagation in Large Image Databases via Dense Image Correspondence Michael Rubinstein, Ce Liu, William T. Freeman

ECCV 2012 Depth Extraction from Video Using Non-Parametric Sampling Kevin Karsch, Ce Liu, Sing Bing Kang

ECCV 2012 Non-Causal Temporal Prior for Video Deblocking Deqing Sun, Ce Liu

CVPR 2011 A Bayesian Approach to Adaptive Video Super Resolution Ce Liu, Deqing Sun

ICML 2011 Adaptively Learning the Crowd Kernel Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai

CVPR 2011 Motion Denoising with Application to Time-Lapse Photography Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman

ECCV 2010 A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation Ce Liu, William T. Freeman

CVPR 2010 Exploring Features in a Bayesian Framework for Material Recognition Ce Liu, Lavanya Sharan, Edward H. Adelson, Ruth Rosenholtz

ICCV 2009 LabelMe Video: Building a Video Database with Human Annotations Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba

CVPR 2009 Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment Ce Liu, Jenny Yuen, Antonio Torralba

CVPR 2008 Human-Assisted Motion Annotation Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss

ECCV 2008 SIFT Flow: Dense Correspondence Across Different Scenes Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman

CVPR 2007 Learning Gaussian Conditional Random Fields for Low-Level Vision Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman

NeurIPS 2007 Object Recognition by Scene Alignment Bryan Russell, Antonio Torralba, Ce Liu, Rob Fergus, William T. Freeman

NeurIPS 2006 Analysis of Contour Motions Ce Liu, William T. Freeman, Edward H. Adelson

CVPR 2006 Noise Estimation from a Single Image Ce Liu, William T. Freeman, Richard Szeliski, Sing Bing Kang

ECCV 2004 Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System Lu Yuan, Fang Wen, Ce Liu, Heung-Yeung Shum

CVPR 2003 Kullback-Leibler Boosting Ce Liu, Heung-Yeung Shum

ECCV 2002 Hierarchical Shape Modeling for Automatic Face Localization Ce Liu, Heung-Yeung Shum, Changshui Zhang

CVPR 2001 A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model Ce Liu, Heung-Yeung Shum, Changshui Zhang

ICCV 2001 Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy Ce Liu, Song Chun Zhu, Heung-Yeung Shum