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ORCIDCe Liu 0001
Person information
- affiliation: Microsoft
- affiliation: Massachusetts Institute of Technology, MA, USA
- affiliation (former): Google Research, Mountain View, CA, USA
Other persons with the same name
- Ce Liu — disambiguation page
- Ce Liu 0002 — Michigan State University, USA
- Ce Liu 0003
![[0000-0002-5212-2101]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5212-2101")
— Southeast University, Nanjing, China - Ce Liu 0004 — ETH Zurich, Switzerland
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2020 – today
- 2024
[c63]Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan:
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. CVPR 2024: 4818-4829- 2023
- [c62]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: 14246-14255 - [c61]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR 2023: 15148-15158 - [c60]Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang:
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CVPR 2023: 23119-23129 - [c59]Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu:
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion. ICML 2023: 42098-42109 - [c58]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:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [i35]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR abs/2301.07094 (2023) - [i34]Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action. CoRR abs/2303.11381 (2023) - [i33]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:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i32]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:
MM-VID: Advancing Video Understanding with GPT-4V(ision). CoRR abs/2310.19773 (2023) - [i31]Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan:
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. CoRR abs/2311.06242 (2023) - 2022
- [j15]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. Trans. Mach. Learn. Res. 2022 (2022) - [c57]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: 10021-10030 - [c56]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CVPR 2022: 11305-11315 - [c55]Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. CVPR 2022: 13409-13419 - [c54]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CVPR 2022: 19141-19151 - [c53]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. ICLR 2022 - [c52]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. NeurIPS 2022 - [c51]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:
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022 - [c50]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. NeurIPS 2022 - [c49]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. NeurIPS 2022 - [i30]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CoRR abs/2202.04200 (2022) - [i29]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CoRR abs/2204.03610 (2022) - [i28]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 abs/2204.09222 (2022) - [i27]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 abs/2205.14100 (2022) - [i26]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 abs/2206.01843 (2022) - [i25]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 abs/2206.07160 (2022) - [i24]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 abs/2206.07643 (2022) - [i23]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 abs/2209.07526 (2022) - [i22]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. CoRR abs/2211.15518 (2022) - [i21]Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu:
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion. CoRR abs/2212.03863 (2022) - 2021
- [j14]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): 4229-4241 (2021) - [c48]Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih:
OCONet: Image Extrapolation by Object Completion. CVPR 2021: 2307-2317 - [c47]Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks Under Limited Data. CVPR 2021: 7921-7931 - [c46]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: 10093-10102 - [c45]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: 15980-15989 - [c44]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. ICCV 2021: 2523-2532 - [c43]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: 12498-12507 - [c42]Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. ICCV 2021: 12664-12674 - [c41]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: 10691-10704 - [c40]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: 19326-19338 - [i20]Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks under Limited Data. CoRR abs/2104.03310 (2021) - [i19]Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang:
DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR abs/2104.12734 (2021) - [i18]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 abs/2104.13450 (2021) - [i17]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 abs/2104.14544 (2021) - [i16]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. CoRR abs/2105.01237 (2021) - [i15]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 abs/2105.02976 (2021) - [i14]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. CoRR abs/2107.04589 (2021) - [i13]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 abs/2109.01068 (2021) - [i12]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 abs/2110.14373 (2021) - [i11]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 abs/2111.11432 (2021) - [i10]Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. CoRR abs/2111.15121 (2021) - 2020
- [c39]Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan:
Supervised Contrastive Learning. NeurIPS 2020 - [i9]Kevin Karsch, Ce Liu, Sing Bing Kang:
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling. CoRR abs/2001.00987 (2020) - [i8]Kevin Karsch, Ce Liu, Sing Bing Kang:
Depth Extraction from Video Using Non-parametric Sampling. CoRR abs/2002.04479 (2020) - [i7]Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan:
Supervised Contrastive Learning. CoRR abs/2004.11362 (2020) - [i6]Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih:
Robust image stitching with multiple registrations. CoRR abs/2011.11784 (2020) - [i5]Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. CoRR abs/2012.03918 (2020)
2010 – 2019
- 2019
- [c38]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: 4521-4530 - [c37]Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. ICCV 2019: 10520-10529 - [i4]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 abs/1904.11111 (2019) - [i3]Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. CoRR abs/1908.07007 (2019) - 2018
- [c36]Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman:
Sparse, Smart Contours to Represent and Edit Images. CVPR 2018: 3511-3520 - [c35]Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih:
Robust Image Stitching with Multiple Registrations. ECCV (2) 2018: 53-69 - 2017
- [c34]Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman:
On the Effectiveness of Visible Watermarks. CVPR 2017: 6864-6872 - [i2]Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman:
Smart, Sparse Contours to Represent and Edit Images. CoRR abs/1712.08232 (2017) - 2016
- [j13]Michael Rubinstein, Ce Liu, William T. Freeman:
Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. Int. J. Comput. Vis. 119(1): 23-45 (2016) - 2015
- [j12]Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman:
A computational approach for obstruction-free photography. ACM Trans. Graph. 34(4): 79:1-79:11 (2015) - 2014
- [j11]Ce Liu, Deqing Sun:
On Bayesian Adaptive Video Super Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 346-360 (2014) - [j10]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): 2144-2158 (2014) - [c33]Donglai Wei, Ce Liu, William T. Freeman:
A Data-Driven Regularization Model for Stereo and Flow. 3DV 2014: 277-284 - [c32]Deqing Sun, Ce Liu, Hanspeter Pfister:
Local Layering for Joint Motion Estimation and Occlusion Detection. CVPR 2014: 1098-1105 - [c31]Hossein Mobahi, Ce Liu, William T. Freeman:
A Compositional Model for Low-Dimensional Image Set Representation. CVPR 2014: 1322-1329 - [c30]Li Xu, Jimmy S. J. Ren, Ce Liu, Jiaya Jia:
Deep Convolutional Neural Network for Image Deconvolution. NIPS 2014: 1790-1798 - 2013
- [j9]Lavanya Sharan, Ce Liu, Ruth Rosenholtz, Edward H. Adelson:
Recognizing Materials Using Perceptually Inspired Features. Int. J. Comput. Vis. 103(3): 348-371 (2013) - [c29]Xin-Jing Wang, Lei Zhang, Ce Liu:
Duplicate Discovery on 2 Billion Internet Images. CVPR Workshops 2013: 429-436 - [c28]Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu:
Probabilistic Label Trees for Efficient Large Scale Image Classification. CVPR 2013: 843-850 - [c27]Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu:
Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR 2013: 1939-1946 - [c26]Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman:
Deformable Spatial Pyramid Matching for Fast Dense Correspondences. CVPR 2013: 2307-2314 - 2012
- [c25]Michael Rubinstein, Ce Liu:
Towards Longer Long-Range Motion Trajectories. BMVC 2012: 1-11 - [c24]Michael Rubinstein, Ce Liu, William T. Freeman:
Annotation Propagation in Large Image Databases via Dense Image Correspondence. ECCV (3) 2012: 85-99 - [c23]Marshall F. Tappen, Ce Liu:
A Bayesian Approach to Alignment-Based Image Hallucination. ECCV (7) 2012: 236-249 - [c22]Deqing Sun, Ce Liu:
Non-causal Temporal Prior for Video Deblocking. ECCV (5) 2012: 510-523 - [c21]Kevin Karsch, Ce Liu, Sing Bing Kang:
Depth Extraction from Video Using Non-parametric Sampling. ECCV (5) 2012: 775-788 - [c20]Xin-Jing Wang, Zheng Xu, Lei Zhang, Ce Liu, Yong Rui:
Towards indexing representative images on the web. ACM Multimedia 2012: 1229-1238 - 2011
- [j8]Ce Liu, Jenny Yuen, Antonio Torralba:
SIFT Flow: Dense Correspondence across Scenes and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 978-994 (2011) - [j7]Ce Liu, Jenny Yuen, Antonio Torralba:
Nonparametric Scene Parsing via Label Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2368-2382 (2011) - [c19]Ce Liu, Deqing Sun:
A Bayesian approach to adaptive video super resolution. CVPR 2011: 209-216 - [c18]Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman:
Motion denoising with application to time-lapse photography. CVPR 2011: 313-320 - [c17]Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai:
Adaptively Learning the Crowd Kernel. ICML 2011: 673-680 - [i1]Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Tauman Kalai:
Adaptively Learning the Crowd Kernel. CoRR abs/1105.1033 (2011) - 2010
- [c16]Ce Liu, Lavanya Sharan, Edward H. Adelson, Ruth Rosenholtz:
Exploring features in a Bayesian framework for material recognition. CVPR 2010: 239-246 - [c15]Ce Liu, William T. Freeman:
A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation. ECCV (3) 2010: 706-719
2000 – 2009
- 2009
- [b1]Ce Liu:
Exploring new representations and applications for motion analysis. Massachusetts Institute of Technology, Cambridge, MA, USA, 2009 - [c14]Ce Liu, Jenny Yuen, Antonio Torralba:
Nonparametric scene parsing: Label transfer via dense scene alignment. CVPR 2009: 1972-1979 - [c13]Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba:
LabelMe video: Building a video database with human annotations. ICCV 2009: 1451-1458 - 2008
- [j6]Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick, William T. Freeman:
Automatic Estimation and Removal of Noise from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 299-314 (2008) - [c12]Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss:
Human-assisted motion annotation. CVPR 2008 - [c11]Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman:
SIFT Flow: Dense Correspondence across Different Scenes. ECCV (3) 2008: 28-42 - 2007
- [j5]Ce Liu, Heung-Yeung Shum, William T. Freeman:
Face Hallucination: Theory and Practice. Int. J. Comput. Vis. 75(1): 115-134 (2007) - [c10]Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman:
Learning Gaussian Conditional Random Fields for Low-Level Vision. CVPR 2007 - [c9]Bryan C. Russell, Antonio Torralba, Ce Liu, Robert Fergus, William T. Freeman:
Object Recognition by Scene Alignment. NIPS 2007: 1241-1248 - 2006
- [c8]Ce Liu, William T. Freeman, Richard Szeliski, Sing Bing Kang:
Noise Estimation from a Single Image. CVPR (1) 2006: 901-908 - [c7]Ce Liu, William T. Freeman, Edward H. Adelson:
Analysis of Contour Motions. NIPS 2006: 913-920 - 2005
- [j4]Ce Liu, Antonio Torralba, William T. Freeman, Frédo Durand, Edward H. Adelson:
Motion magnification. ACM Trans. Graph. 24(3): 519-526 (2005) - 2004
- [j3]Chenyu Wu, Ce Liu, Heung-Yeung Shum, Ying-Qing Xu, Zhengyou Zhang:
Automatic Eyeglasses Removal from Face Images. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 322-336 (2004) - [c6]Lu Yuan, Fang Wen, Ce Liu, Heung-Yeung Shum:
Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System. ECCV (2) 2004: 603-616 - 2003
- [j2]Shuicheng Yan, Ce Liu, Stan Z. Li, HongJiang Zhang, Heung-Yeung Shum, QianSheng Cheng:
Face alignment using texture-constrained active shape models. Image Vis. Comput. 21(1): 69-75 (2003) - [c5]Ce Liu, Heung-Yeung Shum:
Kullback-Leibler Boosting. CVPR (1) 2003: 587-594 - 2002
- [c4]Ce Liu, Heung-Yeung Shum, Changshui Zhang:
Hierarchical Shape Modeling for Automatic Face Localization. ECCV (2) 2002: 687-703 - [c3]Ziqiang Liu, Ce Liu, Heung-Yeung Shum, Yizhou Yu:
Pattern-Based Texture Metamorphosis. PG 2002: 184-193 - 2001
- [j1]Lin Liang, Ce Liu, Ying-Qing Xu, Baining Guo, Heung-Yeung Shum:
Real-time texture synthesis by patch-based sampling. ACM Trans. Graph. 20(3): 127-150 (2001) - [c2]Ce Liu, Heung-Yeung Shum, Changshui Zhang:
A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. CVPR (1) 2001: 192-198 - [c1]Ce Liu, Song Chun Zhu, Heung-Yeung Shum:
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. ICCV 2001: 281-287
Coauthor Index
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last updated on 2024-10-28 21:14 CET by the dblp team
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