A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. - Ce Liu 001; Heung-Yeung Shum; Changshui Zhang (CVPR (1), 2001)

Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. - Ce Liu 001; Song Chun Zhu; Heung-Yeung Shum (ICCV, 2001)

Real-time texture synthesis by patch-based sampling. - Lin Liang; Ce Liu 001; Ying-Qing Xu; Baining Guo; Heung-Yeung Shum (ACM Trans. Graph., 2001)

Hierarchical Shape Modeling for Automatic Face Localization. - Ce Liu 001; Heung-Yeung Shum; Changshui Zhang (ECCV (2), 2002)

Pattern-Based Texture Metamorphosis. - Ziqiang Liu; Ce Liu 001; Heung-Yeung Shum; Yizhou Yu (PG, 2002)

Kullback-Leibler Boosting. - Ce Liu 001; Heung-Yeung Shum (CVPR (1), 2003)

Face alignment using texture-constrained active shape models. - Shuicheng Yan; Ce Liu 001; Stan Z. Li; HongJiang Zhang; Heung-Yeung Shum; QianSheng Cheng (Image Vis. Comput., 2003)

Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System. - Lu Yuan; Fang Wen 001; Ce Liu 001; Heung-Yeung Shum (ECCV (2), 2004)

Automatic Eyeglasses Removal from Face Images. - Chenyu Wu; Ce Liu 001; Heung-Yeung Shum; Ying-Qing Xu; Zhengyou Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Motion magnification. - Ce Liu 001; Antonio Torralba 001; William T. Freeman; Frédo Durand; Edward H. Adelson (ACM Trans. Graph., 2005)

Noise Estimation from a Single Image. - Ce Liu 001; William T. Freeman; Richard Szeliski; Sing Bing Kang (CVPR (1), 2006)

Analysis of Contour Motions. - Ce Liu 001; William T. Freeman; Edward H. Adelson (NIPS, 2006)

Learning Gaussian Conditional Random Fields for Low-Level Vision. - Marshall F. Tappen; Ce Liu 001; Edward H. Adelson; William T. Freeman (CVPR, 2007)

Object Recognition by Scene Alignment. - Bryan C. Russell; Antonio Torralba 001; Ce Liu 001; Robert Fergus; William T. Freeman (NIPS, 2007)

Face Hallucination: Theory and Practice. - Ce Liu 001; Heung-Yeung Shum; William T. Freeman (Int. J. Comput. Vis., 2007)

Human-assisted motion annotation. - Ce Liu 001; William T. Freeman; Edward H. Adelson; Yair Weiss (CVPR, 2008)

SIFT Flow: Dense Correspondence across Different Scenes. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001; Josef Sivic; William T. Freeman (ECCV (3), 2008)

Automatic Estimation and Removal of Noise from a Single Image. - Ce Liu 001; Richard Szeliski; Sing Bing Kang; C. Lawrence Zitnick; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Nonparametric scene parsing: Label transfer via dense scene alignment. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001 (CVPR, 2009)

LabelMe video: Building a video database with human annotations. - Jenny Yuen; Bryan C. Russell; Ce Liu 001; Antonio Torralba 001 (ICCV, 2009)

Exploring new representations and applications for motion analysis. - Ce Liu 001 (2009)

Exploring features in a Bayesian framework for material recognition. - Ce Liu 001; Lavanya Sharan; Edward H. Adelson; Ruth Rosenholtz (CVPR, 2010)

A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation. - Ce Liu 001; William T. Freeman (ECCV (3), 2010)

A Bayesian approach to adaptive video super resolution. - Ce Liu 001; Deqing Sun (CVPR, 2011)

Motion denoising with application to time-lapse photography. - Michael Rubinstein; Ce Liu 001; Peter Sand; Frédo Durand; William T. Freeman (CVPR, 2011)

Adaptively Learning the Crowd Kernel. - Omer Tamuz; Ce Liu 001; Serge J. Belongie; Ohad Shamir; Adam Kalai (ICML, 2011)

SIFT Flow: Dense Correspondence across Scenes and Its Applications. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Nonparametric Scene Parsing via Label Transfer. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Towards Longer Long-Range Motion Trajectories. - Michael Rubinstein; Ce Liu 001 (BMVC, 2012)

Depth Extraction from Video Using Non-parametric Sampling. - Kevin Karsch; Ce Liu 001; Sing Bing Kang (ECCV (5), 2012)

Annotation Propagation in Large Image Databases via Dense Image Correspondence. - Michael Rubinstein; Ce Liu 001; William T. Freeman (ECCV (3), 2012)

Non-causal Temporal Prior for Video Deblocking. - Deqing Sun; Ce Liu 001 (ECCV (5), 2012)

A Bayesian Approach to Alignment-Based Image Hallucination. - Marshall F. Tappen; Ce Liu 001 (ECCV (7), 2012)

Towards indexing representative images on the web. - Xin-Jing Wang; Zheng Xu 002; Lei Zhang 001; Ce Liu 001; Yong Rui (ACM Multimedia, 2012)

Deformable Spatial Pyramid Matching for Fast Dense Correspondences. - Jaechul Kim; Ce Liu 001; Fei Sha; Kristen Grauman (CVPR, 2013)

Probabilistic Label Trees for Efficient Large Scale Image Classification. - Baoyuan Liu; Fereshteh Sadeghi; Marshall F. Tappen; Ohad Shamir; Ce Liu 001 (CVPR, 2013)

Unsupervised Joint Object Discovery and Segmentation in Internet Images. - Michael Rubinstein; Armand Joulin; Johannes Kopf 001; Ce Liu 001 (CVPR, 2013)

Duplicate Discovery on 2 Billion Internet Images. - Xin-Jing Wang; Lei Zhang 001; Ce Liu 001 (CVPR Workshops, 2013)

Recognizing Materials Using Perceptually Inspired Features. - Lavanya Sharan; Ce Liu 001; Ruth Rosenholtz; Edward H. Adelson (Int. J. Comput. Vis., 2013)

A Data-Driven Regularization Model for Stereo and Flow. - Donglai Wei 001; Ce Liu 001; William T. Freeman (3DV, 2014)

A Compositional Model for Low-Dimensional Image Set Representation. - Hossein Mobahi; Ce Liu 001; William T. Freeman (CVPR, 2014)

Local Layering for Joint Motion Estimation and Occlusion Detection. - Deqing Sun; Ce Liu 001; Hanspeter Pfister (CVPR, 2014)

Deep Convolutional Neural Network for Image Deconvolution. - Li Xu 001; Jimmy S. J. Ren; Ce Liu 001; Jiaya Jia (NIPS, 2014)

Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling. - Kevin Karsch; Ce Liu 001; Sing Bing Kang (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

On Bayesian Adaptive Video Super Resolution. - Ce Liu 001; Deqing Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

A computational approach for obstruction-free photography. - Tianfan Xue; Michael Rubinstein; Ce Liu 001; William T. Freeman (ACM Trans. Graph., 2015)

Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. - Michael Rubinstein; Ce Liu 001; William T. Freeman (Int. J. Comput. Vis., 2016)

On the Effectiveness of Visible Watermarks. - Tali Dekel; Michael Rubinstein; Ce Liu 001; William T. Freeman (CVPR, 2017)

Smart, Sparse Contours to Represent and Edit Images. - Tali Dekel; Chuang Gan 001; Dilip Krishnan; Ce Liu 001; William T. Freeman (CoRR, 2017)

Sparse, Smart Contours to Represent and Edit Images. - Tali Dekel; Chuang Gan 001; Dilip Krishnan; Ce Liu 001; William T. Freeman (CVPR, 2018)

Robust Image Stitching with Multiple Registrations. - Charles Herrmann; Chen Wang 050; Richard Strong Bowen; Emil Keyder; Michael Krainin; Ce Liu 001; Ramin Zabih (ECCV (2), 2018)

Learning the Depths of Moving People by Watching Frozen People. - Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker 001; Noah Snavely; Ce Liu 001; William T. Freeman (CVPR, 2019)

Boundless: Generative Adversarial Networks for Image Extension. - Dilip Krishnan; Piotr Teterwak; Aaron Sarna; Aaron Maschinot; Ce Liu 001; David Belanger 002; William T. Freeman (ICCV, 2019)

Supervised Contrastive Learning. - Prannay Khosla; Piotr Teterwak; Chen Wang 050; Aaron Sarna; Yonglong Tian; Phillip Isola; Aaron Maschinot; Ce Liu 001; Dilip Krishnan (NeurIPS, 2020)

DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling. - Kevin Karsch; Ce Liu 001; Sing Bing Kang (CoRR, 2020)

OCONet: Image Extrapolation by Object Completion. - Richard Strong Bowen; Huiwen Chang; Charles Herrmann; Piotr Teterwak; Ce Liu 001; Ramin Zabih (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 001 (CVPR, 2021)

Regularizing Generative Adversarial Networks Under Limited Data. - Hung-Yu Tseng; Lu Jiang 004; Ce Liu 001; Ming-Hsuan Yang 001; Weilong Yang (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 001 (CVPR, 2021)

NeRD: Neural Reflectance Decomposition from Image Collections. - Mark Boss; Raphael Braun; Varun Jampani; Jonathan T. Barron; Ce Liu 001; Hendrik P. A. Lensch (ICCV, 2021)

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Varun Jampani; Huiwen Chang; Kyle Sargent; Abhishek Kar; Richard Tucker 001; Michael Krainin; Dominik Kaeser; William T. Freeman; David Salesin; Brian Curless; Ce Liu 001 (ICCV, 2021)

COMISR: Compression-Informed Video Super-Resolution. - Yinxiao Li; Pengchong Jin; Feng Yang 008; Ce Liu 001; Ming-Hsuan Yang 001; Peyman Milanfar (ICCV, 2021)

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. - Mark Boss; Varun Jampani; Raphael Braun; Ce Liu 001; Jonathan T. Barron; Hendrik P. A. Lensch (NeurIPS, 2021)

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. - Gengshan Yang; Deqing Sun; Varun Jampani; Daniel Vlasic; Forrester Cole; Ce Liu 001; Deva Ramanan (NeurIPS, 2021)

Florence: A New Foundation Model for Computer Vision. - Lu Yuan; Dongdong Chen 001; Yi-Ling Chen; Noel Codella; Xiyang Dai; Jianfeng Gao 001; Houdong Hu; Xuedong Huang 001; Boxin Li; Chunyuan Li; Ce Liu 001; Mengchen Liu; et al. (CoRR, 2021)

MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. - Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker 001; Noah Snavely; Ce Liu 001; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

MaskGIT: Masked Generative Image Transformer. - Huiwen Chang; Han Zhang 010; Lu Jiang 004; Ce Liu 001; William T. Freeman (CVPR, 2022)

Pyramid Adversarial Training Improves ViT Performance. - Charles Herrmann; Kyle Sargent; Lu Jiang 004; Ramin Zabih; Huiwen Chang; Ce Liu 001; Dilip Krishnan; Deqing Sun (CVPR, 2022)

Unified Contrastive Learning in Image-Text-Label Space. - Jianwei Yang; Chunyuan Li; Pengchuan Zhang; Bin Xiao 004; Ce Liu 001; Lu Yuan; Jianfeng Gao 001 (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 001; Peyman Milanfar; Feng Yang 008 (CVPR, 2022)

ViTGAN: Training GANs with Vision Transformers. - Kwonjoon Lee; Huiwen Chang; Lu Jiang 004; Han Zhang 010; Zhuowen Tu; Ce Liu 001 (ICLR, 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 001; Ce Liu 001; Yann LeCun; Nanyun Peng 001; Jianfeng Gao 001; Lijuan Wang (NeurIPS, 2022)

K-LITE: Learning Transferable Visual Models with External Knowledge. - Sheng Shen 001; Chunyuan Li; Xiaowei Hu 006; Yujia Xie; Jianwei Yang; Pengchuan Zhang; Zhe Gan; Lijuan Wang; Lu Yuan; Ce Liu 001; Kurt Keutzer; Trevor Darrell; et al. (NeurIPS, 2022)

OmniVL: One Foundation Model for Image-Language and Video-Language Tasks. - Junke Wang; Dongdong Chen 001; Zuxuan Wu; Chong Luo; Luowei Zhou; Yucheng Zhao; Yujia Xie; Ce Liu 001; Yu-Gang Jiang 001; Lu Yuan (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 001; Michael Zeng 001 (NeurIPS, 2022)

X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion. - Hanqing Zhao; Dianmo Sheng; Jianmin Bao; Dongdong Chen 001; Dong Chen 003; Fang Wen 001; Lu Yuan; Ce Liu 001; Wenbo Zhou; Qi Chu 001; Weiming Zhang 001; Nenghai Yu (CoRR, 2022)

GIT: A Generative Image-to-text Transformer for Vision and Language. - Jianfeng Wang; Zhengyuan Yang; Xiaowei Hu 006; Linjie Li; Kevin Lin; Zhe Gan; Zicheng Liu 001; Ce Liu 001; Lijuan Wang (Trans. Mach. Learn. Res., 2022)

LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. - Linjie Li; Zhe Gan; Kevin Lin; Chung-Ching Lin; Zicheng Liu 001; Ce Liu 001; Lijuan Wang (CVPR, 2023)

Learning Customized Visual Models with Retrieval-Augmented Knowledge. - Haotian Liu; Kilho Son; Jianwei Yang; Ce Liu 001; Jianfeng Gao 001; Yong Jae Lee; Chunyuan Li (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 001; Ce Liu 001; Michael Zeng 001; Lijuan Wang (CVPR, 2023)

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion. - Hanqing Zhao; Dianmo Sheng; Jianmin Bao; Dongdong Chen 001; Dong Chen 003; Fang Wen 001; Lu Yuan; Ce Liu 001; Wenbo Zhou; Qi Chu 001; Weiming Zhang 001; Nenghai Yu (ICML, 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; André Araújo 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 2023)

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action. - Zhengyuan Yang; Linjie Li; Jianfeng Wang; Kevin Lin; Ehsan Azarnasab; Faisal Ahmed 001; Zicheng Liu 001; Ce Liu 001; Michael Zeng 001; Lijuan Wang (CoRR, 2023)

MM-VID: Advancing Video Understanding with GPT-4V(ision). - Kevin Lin; Faisal Ahmed 001; Linjie Li; Chung-Ching Lin; Ehsan Azarnasab; Zhengyuan Yang; Jianfeng Wang; Lin Liang; Zicheng Liu 001; Yumao Lu; Ce Liu 001; Lijuan Wang (CoRR, 2023)

Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. - Bin Xiao 004; Haiping Wu; Weijian Xu; Xiyang Dai; Houdong Hu; Yumao Lu; Michael Zeng 001; Ce Liu 001; Lu Yuan (CVPR, 2024)

DVMark: A Deep Multiscale Framework for Video Watermarking. - Xiyang Luo; Yinxiao Li; Huiwen Chang; Ce Liu 001; Peyman Milanfar; Feng Yang 008 (IEEE Trans. Image Process., 2025)