Ce Liu

According to our database, Ce Liu authored at least 86 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

CoRR, 2023

MM-VID: Advancing Video Understanding with GPT-4V(ision).

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

CoRR, 2023

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang

CoRR, 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, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Customized Visual Models with Retrieval-Augmented Knowledge.

Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Trans. Mach. Learn. Res., 2022

X-Paste: Revisit Copy-Paste at Scale with 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ViTGAN: Training GANs with Vision Transformers.

Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unified Contrastive Learning in Image-Text-Label Space.

Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pyramid Adversarial Training Improves ViT Performance.

Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MaskGIT: Masked Generative Image Transformer.

Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People.

Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Florence: A New Foundation Model for Computer Vision.

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

CoRR, 2021

DVMark: A Deep Multiscale Framework for Video Watermarking.

Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition.

Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

COMISR: Compression-Informed Video Super-Resolution.

Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NeRD: Neural Reflectance Decomposition from Image Collections.

Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Regularizing Generative Adversarial Networks Under Limited Data.

Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

OCONet: Image Extrapolation by Object Completion.

Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling.

Kevin Karsch, Ce Liu, Sing Bing Kang

CoRR, 2020

Supervised Contrastive Learning.

Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Boundless: Generative Adversarial Networks for Image Extension.

Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning the Depths of Moving People by Watching Frozen People.

Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Robust Image Stitching with Multiple Registrations.

Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih

Proceedings of the Computer Vision - ECCV 2018, 2018

Sparse, Smart Contours to Represent and Edit Images.

Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Smart, Sparse Contours to Represent and Edit Images.

Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman

CoRR, 2017

On the Effectiveness of Visible Watermarks.

Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence.

Michael Rubinstein, Ce Liu, William T. Freeman

Int. J. Comput. Vis., 2016

2015

A computational approach for obstruction-free photography.

Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman

ACM Trans. Graph., 2015

2014

On Bayesian Adaptive Video Super Resolution.

Ce Liu, Deqing Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling.

Kevin Karsch, Ce Liu, Sing Bing Kang

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Deep Convolutional Neural Network for Image Deconvolution.

Li Xu, Jimmy S. J. Ren, Ce Liu, Jiaya Jia

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Local Layering for Joint Motion Estimation and Occlusion Detection.

Deqing Sun, Ce Liu, Hanspeter Pfister

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Compositional Model for Low-Dimensional Image Set Representation.

Hossein Mobahi, Ce Liu, William T. Freeman

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Data-Driven Regularization Model for Stereo and Flow.

Donglai Wei, Ce Liu, William T. Freeman

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Recognizing Materials Using Perceptually Inspired Features.

Lavanya Sharan, Ce Liu, Ruth Rosenholtz, Edward H. Adelson

Int. J. Comput. Vis., 2013

Duplicate Discovery on 2 Billion Internet Images.

Xin-Jing Wang, Lei Zhang, Ce Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Unsupervised Joint Object Discovery and Segmentation in Internet Images.

Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Probabilistic Label Trees for Efficient Large Scale Image Classification.

Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Deformable Spatial Pyramid Matching for Fast Dense Correspondences.

Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Towards indexing representative images on the web.

Xin-Jing Wang, Zheng Xu, Lei Zhang, Ce Liu, Yong Rui

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

A Bayesian Approach to Alignment-Based Image Hallucination.

Marshall F. Tappen, Ce Liu

Proceedings of the Computer Vision - ECCV 2012, 2012

Non-causal Temporal Prior for Video Deblocking.

Deqing Sun, Ce Liu

Proceedings of the Computer Vision - ECCV 2012, 2012

Annotation Propagation in Large Image Databases via Dense Image Correspondence.

Michael Rubinstein, Ce Liu, William T. Freeman

Proceedings of the Computer Vision - ECCV 2012, 2012

Depth Extraction from Video Using Non-parametric Sampling.

Kevin Karsch, Ce Liu, Sing Bing Kang

Proceedings of the Computer Vision - ECCV 2012, 2012

Towards Longer Long-Range Motion Trajectories.

Michael Rubinstein, Ce Liu

Proceedings of the British Machine Vision Conference, 2012

2011

Nonparametric Scene Parsing via Label Transfer.

Ce Liu, Jenny Yuen, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2011

SIFT Flow: Dense Correspondence across Scenes and Its Applications.

Ce Liu, Jenny Yuen, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Adaptively Learning the Crowd Kernel.

Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai

Proceedings of the 28th International Conference on Machine Learning, 2011

Motion denoising with application to time-lapse photography.

Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A Bayesian approach to adaptive video super resolution.

Ce Liu, Deqing Sun

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation.

Ce Liu, William T. Freeman

Proceedings of the Computer Vision, 2010

Exploring features in a Bayesian framework for material recognition.

Ce Liu, Lavanya Sharan, Edward H. Adelson, Ruth Rosenholtz

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Exploring new representations and applications for motion analysis.

Ce Liu

PhD thesis, 2009

LabelMe video: Building a video database with human annotations.

Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Nonparametric scene parsing: Label transfer via dense scene alignment.

Ce Liu, Jenny Yuen, Antonio Torralba

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Automatic Estimation and Removal of Noise from a Single Image.

Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2008

SIFT Flow: Dense Correspondence across Different Scenes.

Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman

Proceedings of the Computer Vision, 2008

Human-assisted motion annotation.

Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Face Hallucination: Theory and Practice.

Ce Liu, Heung-Yeung Shum, William T. Freeman

Int. J. Comput. Vis., 2007

Object Recognition by Scene Alignment.

Bryan C. Russell, Antonio Torralba, Ce Liu, Robert Fergus, William T. Freeman

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning Gaussian Conditional Random Fields for Low-Level Vision.

Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Analysis of Contour Motions.

Ce Liu, William T. Freeman, Edward H. Adelson

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Noise Estimation from a Single Image.

Ce Liu, William T. Freeman, Richard Szeliski, Sing Bing Kang

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Motion magnification.

Ce Liu, Antonio Torralba, William T. Freeman, Frédo Durand, Edward H. Adelson

ACM Trans. Graph., 2005

2004

Automatic Eyeglasses Removal from Face Images.

Chenyu Wu, Ce Liu, Heung-Yeung Shum, Ying-Qing Xu, Zhengyou Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System.

Lu Yuan, Fang Wen, Ce Liu, Heung-Yeung Shum

Proceedings of the Computer Vision, 2004

2003

Face alignment using texture-constrained active shape models.

Shuicheng Yan, Ce Liu, Stan Z. Li, HongJiang Zhang, Heung-Yeung Shum, QianSheng Cheng

Image Vis. Comput., 2003

Kullback-Leibler Boosting.

Ce Liu, Heung-Yeung Shum

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002

Pattern-Based Texture Metamorphosis.

Ziqiang Liu, Ce Liu, Heung-Yeung Shum, Yizhou Yu

Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, 2002

Hierarchical Shape Modeling for Automatic Face Localization.

Ce Liu, Heung-Yeung Shum, Changshui Zhang

Proceedings of the Computer Vision, 2002

2001

Real-time texture synthesis by patch-based sampling.

Lin Liang, Ce Liu, Ying-Qing Xu, Baining Guo, Heung-Yeung Shum

ACM Trans. Graph., 2001

Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy.

Ce Liu, Song Chun Zhu, Heung-Yeung Shum

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model.

Ce Liu, Heung-Yeung Shum, Changshui Zhang

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001