Ce Liu

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 78

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Ce Liu
Nonsingular Hierarchical Approach for Trajectory Tracking Control of Miniature Helicopter with Model Uncertainties. J. Intell. Robotic Syst. 110 (2) (2024)
Dongbo Xie, Jiaxun He, Tao Liu, Ce Liu, Gang Zhao, Liqing Chen
Establishment and validation the DEM-MBD coupling model of flexible straw-Shajiang black soil-walking mechanism interactions. Comput. Electron. Agric. 224 (2024)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR (2023)
Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang
ReCo: Region-Controlled Text-to-Image Generation. CVPR (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR (2023)
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
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR (2023)
Ce Liu, Chunyuan Zhao, Yubo Wang, Haowei Wang
Machine-Learning-Based Calibration of Temperature Sensors. Sensors 23 (17) (2023)
Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool
Indiscernible Object Counting in Underwater Scenes. CoRR (2023)
Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool
Indiscernible Object Counting in Underwater Scenes. CVPR (2023)
Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning. CoRR (2022)
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
Pyramid Adversarial Training Improves ViT Performance. CVPR (2022)
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
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR (2022)
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR (2022)
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
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR (2022)
Ce Liu, Junyong Zhai
Adaptive output feedback control for a class of uncertain stochastic nonlinear systems. J. Syst. Control. Eng. 236 (1) (2022)
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
MaskGIT: Masked Generative Image Transformer. CoRR (2022)
Xiao Lin, Ce Liu
Credible Persuasion. EC (2022)
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
MaskGIT: Masked Generative Image Transformer. CVPR (2022)
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
Unified Contrastive Learning in Image-Text-Label Space. CoRR (2022)
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
ViTGAN: Training GANs with Vision Transformers. ICLR (2022)
Ce Liu
Nonsingular Hierarchical Trajectory Tracking Control for Miniature Helicopter Considering Perturbation Caused by Attitude Error and Nonlinear Coupling. ASCC (2022)
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks. CoRR (2022)
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
Unified Contrastive Learning in Image-Text-Label Space. CVPR (2022)
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang
GIT: A Generative Image-to-text Transformer for Vision and Language. CoRR (2022)
Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CoRR (2022)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR (2021)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR (2021)
Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
OCONet: Image Extrapolation by Object Completion. CVPR (2021)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS (2021)
Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar
COMISR: Compression-Informed Video Super-Resolution. CoRR (2021)
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
Pyramid Adversarial Training Improves ViT Performance. CoRR (2021)
Yan Yang, Ce Liu
Single image dehazing using elliptic curve scattering model. Signal Image Video Process. 15 (7) (2021)
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. NeurIPS (2021)
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
ViTGAN: Training GANs with Vision Transformers. CoRR (2021)
Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. BMVC (2021)
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. CoRR (2021)
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
NeRD: Neural Reflectance Decomposition from Image Collections. ICCV (2021)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV (2021)
Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR (2021)
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CoRR (2021)
Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar
COMISR: Compression-Informed Video Super-Resolution. ICCV (2021)
Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang
Regularizing Generative Adversarial Networks under Limited Data. CoRR (2021)
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
Florence: A New Foundation Model for Computer Vision. CoRR (2021)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR (2021)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR (2021)
Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang
Regularizing Generative Adversarial Networks Under Limited Data. CVPR (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR (2021)
Ce Liu
Stability in Repeated Matching Markets. CoRR (2020)
Christopher P. Chambers, Ce Liu, John Rehbeck
Costly information acquisition. J. Econ. Theory 186 (2020)
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Supervised Contrastive Learning. NeurIPS (2020)
Kevin Karsch, Ce Liu, Sing Bing Kang
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling. CoRR (2020)
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
NeRD: Neural Reflectance Decomposition from Image Collections. CoRR (2020)
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Supervised Contrastive Learning. CoRR (2020)
Kevin Karsch, Ce Liu, Sing Bing Kang
Depth Extraction from Video Using Non-parametric Sampling. CoRR (2020)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
Robust image stitching with multiple registrations. CoRR (2020)
Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. ICCV (2019)
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. CoRR (2019)
Dansong Cheng, Yongqiang Zhang, Feng Tian, Ce Liu, Xiaofang Liu
Sign correlation subspace for face alignment. Soft Comput. 23 (1) (2019)
Dansong Cheng, Yongqiang Zhang, Ce Liu, Xiaofang Liu
Sign-correlation cascaded regression for face alignment. Multim. Tools Appl. 78 (18) (2019)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
Learning the Depths of Moving People by Watching Frozen People. CoRR (2019)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
Learning the Depths of Moving People by Watching Frozen People. CVPR (2019)
Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman
Sparse, Smart Contours to Represent and Edit Images. CVPR (2018)
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
Robust Image Stitching with Multiple Registrations. ECCV (2) (2018)
Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman
Smart, Sparse Contours to Represent and Edit Images. CoRR (2017)
Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman
On the Effectiveness of Visible Watermarks. CVPR (2017)
Ce Liu, Tonghua Su, Lijuan Yu
Self-Correction Method for Automatic Data Annotation. ACPR (2017)
Tonghua Su, Hongliang Dai, Ce Liu, Lijun Yu
Propagation Based Prototype Prediction. ICDAR (2017)
Christopher P. Chambers, Ce Liu, Seung-Keun Martinez
A test for risk-averse expected utility. J. Econ. Theory 163 (2016)
Xiaofeng Liu, Xu Zhou, Ce Liu, Jianmin Wang, Xiaoqin Zhou, Ning Xu, Aimin Jiang
An interactive training system of motor learning by imitation and speech instructions for children with autism. HSI (2016)
Li Sun, Tonghua Su, Ce Liu, Ruigang Wang
Deep LSTM Networks for Online Chinese Handwriting Recognition. ICFHR (2016)
Michael Rubinstein, Ce Liu, William T. Freeman
Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. Int. J. Comput. Vis. 119 (1) (2016)
Xiaofeng Liu, Ce Liu, Xu Zhou, Xiaoqin Zhou, Aimin Jiang
Movement imitation underlying coaching platform for children with ASD. ICCE-TW (2015)
Ce Liu, Qiang Qu
Trip Fare Estimation Study from Taxi Routing Behaviors and Localizing Traces. ICDM Workshops (2015)
Siyuan Liu, Shuhui Wang, Ce Liu, Ramayya Krishnan
Understanding taxi drivers' routing choices from spatial and social traces. Frontiers Comput. Sci. 9 (2) (2015)
Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman
A computational approach for obstruction-free photography. ACM Trans. Graph. 34 (4) (2015)
Hossein Mobahi, Ce Liu, William T. Freeman
A Compositional Model for Low-Dimensional Image Set Representation. CVPR (2014)
Kevin Karsch, Ce Liu, Sing Bing Kang
Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 36 (11) (2014)
Donglai Wei, Ce Liu, William T. Freeman
A Data-Driven Regularization Model for Stereo and Flow. 3DV (2014)
Xiaonan Guo, Eddie C. L. Chan, Ce Liu, Kaishun Wu, Siyuan Liu, Lionel M. Ni
ShopProfiler: Profiling shops with crowdsourcing data. INFOCOM (2014)
Ce Liu, Deqing Sun
On Bayesian Adaptive Video Super Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 36 (2) (2014)
Deqing Sun, Ce Liu, Hanspeter Pfister
Local Layering for Joint Motion Estimation and Occlusion Detection. CVPR (2014)
Li Xu, Jimmy S. J. Ren, Ce Liu, Jiaya Jia
Deep Convolutional Neural Network for Image Deconvolution. NIPS (2014)
Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu
Probabilistic Label Trees for Efficient Large Scale Image Classification. CVPR (2013)
Xin-Jing Wang, Lei Zhang, Ce Liu
Duplicate Discovery on 2 Billion Internet Images. CVPR Workshops (2013)
Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman
Deformable Spatial Pyramid Matching for Fast Dense Correspondences. CVPR (2013)
Lavanya Sharan, Ce Liu, Ruth Rosenholtz, Edward H. Adelson
Recognizing Materials Using Perceptually Inspired Features. Int. J. Comput. Vis. 103 (3) (2013)
Phillip Isola, Ce Liu
Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers. ICCV (2013)
Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu
Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR (2013)
Michael Rubinstein, Ce Liu, William T. Freeman
Annotation Propagation in Large Image Databases via Dense Image Correspondence. ECCV (3) (2012)
Deqing Sun, Ce Liu
Non-causal Temporal Prior for Video Deblocking. ECCV (5) (2012)
Xin-Jing Wang, Zheng Xu, Lei Zhang, Ce Liu, Yong Rui
Towards indexing representative images on the web. ACM Multimedia (2012)
Ce Liu, Siyuan Liu, Mounir Hamdi
GeRA: Generic rate adaptation for vehicular networks. ICC (2012)
Kevin Karsch, Ce Liu, Sing Bing Kang
Depth Extraction from Video Using Non-parametric Sampling. ECCV (5) (2012)
Michael Rubinstein, Ce Liu
Towards Longer Long-Range Motion Trajectories. BMVC (2012)
Siyuan Liu, Ce Liu, Qiong Luo, Lionel M. Ni, Ramayya Krishnan
Calibrating Large Scale Vehicle Trajectory Data. MDM (2012)
Marshall F. Tappen, Ce Liu
A Bayesian Approach to Alignment-Based Image Hallucination. ECCV (7) (2012)
Siyuan Liu, Ce Liu, Qiong Luo, Lionel M. Ni, Huamin Qu
A visual analytics system for metropolitan transportation. GIS (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ce Liu