Ce Liu - RankMe

115 papers A* 44A 1Misc 1Journal 51Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DVMark: A Deep Multiscale Framework for Video Watermarking. IEEE Trans. Image Process. Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
2024	A*	`conf`	Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. CVPR Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan
2023	J	`jnl`	Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. CoRR Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan
2023	A*	`conf`	LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CVPR Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang
2023	A*	`conf`	Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
2023	J	`jnl`	Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
2023	J	`jnl`	MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action. CoRR Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang
2023	J	`jnl`	MM-VID: Advancing Video Understanding with GPT-4V(ision). CoRR Kevin Lin, Faisal Ahmed, Linjie Li, Chung-Ching Lin, Ehsan Azarnasab, Zhengyuan Yang, Jianfeng Wang, Lin Liang, Zicheng Liu, Yumao Lu, Ce Liu, Lijuan Wang
2023	A*	`conf`	NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
2023	J	`jnl`	NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
2023	A*	`conf`	ReCo: Region-Controlled Text-to-Image Generation. CVPR Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang
2023	A*	`conf`	X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion. ICML Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
2022	A*	`conf`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS 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
2022	J	`jnl`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR 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
2022	A*	`conf`	Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
2022	J	`jnl`	GIT: A Generative Image-to-text Transformer for Vision and Language. CoRR Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang
2022	J	`jnl`	GIT: A Generative Image-to-text Transformer for Vision and Language. Trans. Mach. Learn. Res. Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang
2022	A*	`conf`	K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 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
2022	J	`jnl`	K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao
2022	J	`jnl`	LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CoRR Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang
2022	A*	`conf`	MaskGIT: Masked Generative Image Transformer. CVPR Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
2022	J	`jnl`	MaskGIT: Masked Generative Image Transformer. CoRR Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
2022	A*	`conf`	OmniVL: One Foundation Model for Image-Language and Video-Language Tasks. NeurIPS Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
2022	J	`jnl`	OmniVL: One Foundation Model for Image-Language and Video-Language Tasks. CoRR Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
2022	A*	`conf`	Pyramid Adversarial Training Improves ViT Performance. CVPR Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
2022	J	`jnl`	ReCo: Region-Controlled Text-to-Image Generation. CoRR Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang
2022	A*	`conf`	Unified Contrastive Learning in Image-Text-Label Space. CVPR Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
2022	J	`jnl`	Unified Contrastive Learning in Image-Text-Label Space. CoRR Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
2022	A*	`conf`	ViTGAN: Training GANs with Vision Transformers. ICLR Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
2022	A*	`conf`	Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning. NeurIPS Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng
2022	J	`jnl`	Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning. CoRR Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng
2022	J	`jnl`	X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion. CoRR Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
2021	A*	`conf`	AutoFlow: Learning a Better Training Set for Optical Flow. CVPR Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
2021	J	`jnl`	AutoFlow: Learning a Better Training Set for Optical Flow. CoRR Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
2021	A*	`conf`	COMISR: Compression-Informed Video Super-Resolution. ICCV Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar
2021	J	`jnl`	COMISR: Compression-Informed Video Super-Resolution. CoRR Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar
2021	J	`jnl`	DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
2021	J	`jnl`	Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CoRR Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
2021	J	`jnl`	Florence: A New Foundation Model for Computer Vision. CoRR Lu Yuan, Dongdong Chen, Yi-ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang
2021	A*	`conf`	LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
2021	J	`jnl`	LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
2021	J	`jnl`	MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2021	A*	`conf`	NeRD: Neural Reflectance Decomposition from Image Collections. ICCV Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
2021	A*	`conf`	Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. NeurIPS Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch
2021	J	`jnl`	Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. CoRR Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch
2021	A*	`conf`	OCONet: Image Extrapolation by Object Completion. CVPR Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
2021	J	`jnl`	Pyramid Adversarial Training Improves ViT Performance. CoRR Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
2021	A*	`conf`	Regularizing Generative Adversarial Networks Under Limited Data. CVPR Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang
2021	J	`jnl`	Regularizing Generative Adversarial Networks under Limited Data. CoRR Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang
2021	A*	`conf`	SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
2021	J	`jnl`	SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
2021	A*	`conf`	ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan
2021	J	`jnl`	ViTGAN: Training GANs with Vision Transformers. CoRR Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
2020	J	`jnl`	Depth Extraction from Video Using Non-parametric Sampling. CoRR Kevin Karsch, Ce Liu, Sing Bing Kang
2020	J	`jnl`	DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling. CoRR Kevin Karsch, Ce Liu, Sing Bing Kang
2020	J	`jnl`	NeRD: Neural Reflectance Decomposition from Image Collections. CoRR Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
2020	J	`jnl`	Robust image stitching with multiple registrations. CoRR Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
2020	A*	`conf`	Supervised Contrastive Learning. NeurIPS Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2020	J	`jnl`	Supervised Contrastive Learning. CoRR Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2019	A*	`conf`	Boundless: Generative Adversarial Networks for Image Extension. ICCV Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
2019	J	`jnl`	Boundless: Generative Adversarial Networks for Image Extension. CoRR Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
2019	A*	`conf`	Learning the Depths of Moving People by Watching Frozen People. CVPR Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2019	J	`jnl`	Learning the Depths of Moving People by Watching Frozen People. CoRR Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2018	—	`conf`	Robust Image Stitching with Multiple Registrations. ECCV (2) Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
2018	A*	`conf`	Sparse, Smart Contours to Represent and Edit Images. CVPR Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman
2017	A*	`conf`	On the Effectiveness of Visible Watermarks. CVPR Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman
2017	J	`jnl`	Smart, Sparse Contours to Represent and Edit Images. CoRR Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman
2016	J	`jnl`	Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. Int. J. Comput. Vis. Michael Rubinstein, Ce Liu, William T. Freeman
2015	J	`jnl`	A computational approach for obstruction-free photography. ACM Trans. Graph. Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman
2014	A*	`conf`	A Compositional Model for Low-Dimensional Image Set Representation. CVPR Hossein Mobahi, Ce Liu, William T. Freeman
2014	—	`conf`	A Data-Driven Regularization Model for Stereo and Flow. 3DV Donglai Wei, Ce Liu, William T. Freeman
2014	—	`conf`	Deep Convolutional Neural Network for Image Deconvolution. NIPS Li Xu, Jimmy S. J. Ren, Ce Liu, Jiaya Jia
2014	J	`jnl`	Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Kevin Karsch, Ce Liu, Sing Bing Kang
2014	A*	`conf`	Local Layering for Joint Motion Estimation and Occlusion Detection. CVPR Deqing Sun, Ce Liu, Hanspeter Pfister
2014	J	`jnl`	On Bayesian Adaptive Video Super Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Ce Liu, Deqing Sun
2013	A*	`conf`	Deformable Spatial Pyramid Matching for Fast Dense Correspondences. CVPR Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman
2013	—	`conf`	Duplicate Discovery on 2 Billion Internet Images. CVPR Workshops Xin-Jing Wang, Lei Zhang, Ce Liu
2013	A*	`conf`	Probabilistic Label Trees for Efficient Large Scale Image Classification. CVPR Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu
2013	J	`jnl`	Recognizing Materials Using Perceptually Inspired Features. Int. J. Comput. Vis. Lavanya Sharan, Ce Liu, Ruth Rosenholtz, Edward H. Adelson
2013	A*	`conf`	Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu
2012	—	`conf`	A Bayesian Approach to Alignment-Based Image Hallucination. ECCV (7) Marshall F. Tappen, Ce Liu
2012	—	`conf`	Annotation Propagation in Large Image Databases via Dense Image Correspondence. ECCV (3) Michael Rubinstein, Ce Liu, William T. Freeman
2012	—	`conf`	Depth Extraction from Video Using Non-parametric Sampling. ECCV (5) Kevin Karsch, Ce Liu, Sing Bing Kang
2012	—	`conf`	Non-causal Temporal Prior for Video Deblocking. ECCV (5) Deqing Sun, Ce Liu
2012	A	`conf`	Towards Longer Long-Range Motion Trajectories. BMVC Michael Rubinstein, Ce Liu
2012	A*	`conf`	Towards indexing representative images on the web. ACM Multimedia Xin-Jing Wang, Zheng Xu, Lei Zhang, Ce Liu, Yong Rui
2011	A*	`conf`	A Bayesian approach to adaptive video super resolution. CVPR Ce Liu, Deqing Sun
2011	J	`jnl`	Adaptively Learning the Crowd Kernel CoRR Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Tauman Kalai
2011	A*	`conf`	Adaptively Learning the Crowd Kernel. ICML Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai
2011	A*	`conf`	Motion denoising with application to time-lapse photography. CVPR Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman
2011	J	`jnl`	Nonparametric Scene Parsing via Label Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Ce Liu, Jenny Yuen, Antonio Torralba
2011	J	`jnl`	SIFT Flow: Dense Correspondence across Scenes and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. Ce Liu, Jenny Yuen, Antonio Torralba
2010	—	`conf`	A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation. ECCV (3) Ce Liu, William T. Freeman
2010	A*	`conf`	Exploring features in a Bayesian framework for material recognition. CVPR Ce Liu, Lavanya Sharan, Edward H. Adelson, Ruth Rosenholtz
2009	—	`—`	Exploring new representations and applications for motion analysis. Ce Liu
2009	A*	`conf`	LabelMe video: Building a video database with human annotations. ICCV Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba
2009	A*	`conf`	Nonparametric scene parsing: Label transfer via dense scene alignment. CVPR Ce Liu, Jenny Yuen, Antonio Torralba
2008	J	`jnl`	Automatic Estimation and Removal of Noise from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick, William T. Freeman
2008	A*	`conf`	Human-assisted motion annotation. CVPR Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss
2008	—	`conf`	SIFT Flow: Dense Correspondence across Different Scenes. ECCV (3) Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman
2007	J	`jnl`	Face Hallucination: Theory and Practice. Int. J. Comput. Vis. Ce Liu, Heung-Yeung Shum, William T. Freeman
2007	A*	`conf`	Learning Gaussian Conditional Random Fields for Low-Level Vision. CVPR Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman
2007	—	`conf`	Object Recognition by Scene Alignment. NIPS Bryan C. Russell, Antonio Torralba, Ce Liu, Robert Fergus, William T. Freeman
2006	—	`conf`	Analysis of Contour Motions. NIPS Ce Liu, William T. Freeman, Edward H. Adelson
2006	—	`conf`	Noise Estimation from a Single Image. CVPR (1) Ce Liu, William T. Freeman, Richard Szeliski, Sing Bing Kang
2005	J	`jnl`	Motion magnification. ACM Trans. Graph. Ce Liu, Antonio Torralba, William T. Freeman, Frédo Durand, Edward H. Adelson
2004	J	`jnl`	Automatic Eyeglasses Removal from Face Images. IEEE Trans. Pattern Anal. Mach. Intell. Chenyu Wu, Ce Liu, Heung-Yeung Shum, Ying-Qing Xu, Zhengyou Zhang
2004	—	`conf`	Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System. ECCV (2) Lu Yuan, Fang Wen, Ce Liu, Heung-Yeung Shum
2003	J	`jnl`	Face alignment using texture-constrained active shape models. Image Vis. Comput. Shuicheng Yan, Ce Liu, Stan Z. Li, HongJiang Zhang, Heung-Yeung Shum, QianSheng Cheng
2003	—	`conf`	Kullback-Leibler Boosting. CVPR (1) Ce Liu, Heung-Yeung Shum
2002	—	`conf`	Hierarchical Shape Modeling for Automatic Face Localization. ECCV (2) Ce Liu, Heung-Yeung Shum, Changshui Zhang
2002	Misc	`conf`	Pattern-Based Texture Metamorphosis. PG Ziqiang Liu, Ce Liu, Heung-Yeung Shum, Yizhou Yu
2001	—	`conf`	A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. CVPR (1) Ce Liu, Heung-Yeung Shum, Changshui Zhang
2001	A*	`conf`	Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. ICCV Ce Liu, Song Chun Zhu, Heung-Yeung Shum
2001	J	`jnl`	Real-time texture synthesis by patch-based sampling. ACM Trans. Graph. Lin Liang, Ce Liu, Ying-Qing Xu, Baining Guo, Heung-Yeung Shum