Ce Liu (original) (raw)

2023

J. Wang, Z. Yang, X. Hu, L. Li, K. Lin, Z. Gan, Z. Liu, C. Liu and L. Wang. GIT: A Generative Image-to-text Transformer for Vision and Language. Transactions on Machine Learning Research (TMLR). Jan, 2023. [pdf]

2022

S. Shen, C. Li, X. Hu, Y. Xie, J. Yang, P. Zhang, Z. Gan, L. Wang, L. Yuan, C. Liu, K. Keutzer, T. Darrell, A. Rohrbach and J. Gao. K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022. [arXiv]

Y. Xie, L. Zhou, X. Dai, L. Yuan, N. Bach, C. Liu and M. Zeng. Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioninge. NeurIPS 2022. [arXiv]

Z. Dou, A. Kamath, Z. Gan, P. Zhang, J. Wang, L. Li, Z. Liu, C. Liu, Y. LeCun, N. Peng, J. Gao and L. Wang. Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS 2022. [arXiv]

J. Wang, D. Chen, Z. Wu, C. Luo, L. Zhou, Y. Zhao, Y. Xie, C. Liu, Y. Jiang, L. Yuan. OmniVL: One Foundation Model for Image-Language and Video-Language Tasks. NeurIPS 2022. [arXiv]

H. Chang, H. Zhang, L. Jiang, C. Liu and W. T. Freeman. MaskGIT: Masked Generative Image Transformer. CVPR 2022. [pdf]

C. Herrmann, K. Sargent, L. Jiang, R. Zabith, H. Chang, C. Liu, D. Krishnan, D. Sun. Pyramid Adversarial Training Improves ViT Performance. CVPR 2022. [pdf]

I. Yoo, H. Chang, X, Luo, O. Stava, C. Liu, P. Milanfar, F. Yang. Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR 2022. [pdf]

J. Yang, C. Li, P. Zhang, B. Xiao, C. Liu, L. Yuan and J. Gao. Unified Contrastive Learning in Image-Text-Label Space. CVPR 2022. [pdf]

2021

L. Yuan et al. Florence: A New Foundation Model for Computer Vision. Project Florence, 2021. [arXiv]

M. Boss, V. Jampani, R. Braun, C. Liu, J. T. Barron, H. Lensch. Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. NeurIPS 2021. [pdf]

G. Yang, D. Sun, V. Jampani, D. Vlasic, F. Cole, C. Liu, D. Ramanan. ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021. [pdf]

V. Jampani, H. Chang, K. Sargent, A. Kar, R. Tucker, M. Krainin, D. Kaeser, W.T. Freeman, D. Salesin, B. Curless and C. Liu. SLIDE: Single Image 3D Photography With Soft Layering and Depth-Aware Inpainting. International Conference on Computer Vision (ICCV) 2021. Oral presentation. [pdf]

M. Boss, R. Braun, V. Jampani, J. T. Barron, C. Liu, H. Lensch NeRD: Neural Reflectance Decomposition from Image Collections. International Conference on Computer Vision (ICCV) 2021. [pdf]

Y. Li, P. Jin, F. Yang, C. Liu, M.-H. Yang, P. Milanfar. COMISR: Compression-Informed Video Super-Resolution. International Conference on Computer Vision (ICCV) 2021. Oral presentation. [pdf]

D. Sun, D. Vlasic, C. Herrmann, V. Jampani, M. Krainin, H. Chang, R. Zabih, W.T. Freeman and C. Liu. AutoFlow: Learning a Better Training Set for Optical Flow. Computer Vision and Pattern Recognition (CVPR) 2021. Oral presentation. [pdf]

G. Yang, D. Sun, V. Jampani, D. Vlasic, F. Cole, H. Chang, D. Ramanan, W.T. Freeman and C. Liu. LASR: Learning Articulated Shape Reconstruction from a Monocular Video. Computer Vision and Pattern Recognition (CVPR) 2021. [pdf]

H. Tseng, L. Jiang. C. Liu, M.H. Yang, and W. Yang. Regularizing Generative Adversarial Networks under Limited Data. Computer Vision and Pattern Recognition (CVPR) 2021. [pdf]

R.S. Bowen, H. Chang, C. Herrmann, P. Teterwak, C. Liu and R. Zabih. OCONet: Image Extrapolation by Object Completion. Computer Vision and Pattern Recognition (CVPR) 2021. [pdf]

2015~2020

P. Khosla, P. Teterwak, C. Wang, A. Sarna, Y. Tian, P. Isola, A. Maschinot, C. Liu, D. Krishnan. Supervised Contrastive Learning. Advances in Neural Information Processing Systems (NeurIPS) 2020. [pdf] [GitHub]

Z. Li, T. Dekel, F. Cole, R. Tucker, N. Snavely, C. Liu and W.T. Freeman. MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020. [pdf]

P. Teterwak, A. Sarna, D. Krishnan, A. Maschinot, D. Belanger, C. Liu and W. T. Freeman. Boundless: Generative Adversarial Networks for Image Extension. IEEE/CVF International Conference on Computer Vision (ICCV) 2019. [pdf] [GitHub]

Z. Li, T. Dekel, F. Cole, R. Tucker, N. Snavely, C. Liu and W.T. Freeman. Learning the depths of moving people by watching frozen people. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Oral presentation. Best paper honorable mention. [pdf] [GitHub] [YouTube]

C. Herrmann, C. Wang, R.S. Bowen, E. Keyder, M. Krainin, C Liu and R. Zabih. Robust Image Stitching with Multiple Registrations. European Conference on Computer Vision (ECCV) 2018. [pdf] [GitHub] [YouTube]

T. Dekel, C. Gan, D. Krishnan, C. Liu and W.T. Freeman. Smart, Sparse Contours to Represent and Edit Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018. [pdf] [GitHub] [YouTube]

T. Dekel, M. Rubinstein, C. Liu and W.T. Freeman. On the effectiveness of visible watermarks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017. [pdf] [Google Research Blog]

M. Rubinstein, C. Liu and W.T. Freeman. Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. International Journal of Computer Vision (IJCV) 2016. [pdf]

T. Xue, M. Rubinstein, C. Liu and W.T. Freeman. A Computational Approach for Obstruction-Free Photography. ACM SIGGRAPH, 2015. [pdf] [YouTube]

2010~2014

D. Wei, C. Liu and W.T. Freeman. A Data-Driven Regularization Model for Stereo and Flow. 3DV 2014. [pdf]

L. Xu, J. Ren, C. Liu and J. Jia. Deep Convolutional Neural Network for Image Deconvolution. Neural Information Processing Systems (NIPS), 2014. [pdf]

K. Karsch, C. Liu and S. B. Kang. DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), pp. 2144-2158, Vol. 36, No. 11, 2014. [project] [pdf]

D. Sun, C. Liu and H. Pfister. Local Layering for Joint Motion Estimation and Occlusion Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Oral presentation. [pdf]

H. Mobahi, C. Liu and W.T. Freeman. A Compositional Model for Low-Dimensional Image Set Representation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [pdf] [Video MP4 (57MB)]

C. Liu and D. Sun. On Bayesian Adaptive Video Super Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), pp. 346-360, Vol. 36, Issue 2, 2014. [pdf]

P. Isola and C. Liu. Scene Collaging: Analysis and Synthesis of Natural Images With Semantic Layers. International Conference on Computer Vision (ICCV) 2013. [pdf][supplementary]

L. Sharan, C. Liu, R. Rosenholtz and E. Adelson. Recognizing Materials Using Perceptually Inspired Features. International Journal of Computer Vision (IJCV), pp. 348-371, Vol. 103, Issue 3, July 2013. [pdf]

X.-J. Wang, L. Zhang, and C. Liu. Duplicate Discovery on 2 Billion Internet Images. In Proceedings of Big Data Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. [pdf]

M. Rubinstein, A. Joulin, J. Kopf and C. Liu. Unsupervised Joint Object Discovery and Segmentation in Internet Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. [pdf] [webpage]

J. Kim, C. Liu, F. Sha and K. Grauman. Deformable Spatial Pyramid Matching for Fast Dense Correspondences. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. [pdf]

B. Liu, F. Sadeghi, M. Tappen, O. Shamir and C. Liu. Probabilistic Label Trees for Efficient Large Scale Image Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013. [pdf]

X.-J. Wang, Z. Xu, L. Zhang, C. Liu and Y. Rui. Towards Indexing Representative Images on the Web. _ACM International Conference on Multimedi_a (ACM MM), 2012. [pdf]

M. Rubinstein, C. Liu and W.T. Freeman. Annotation Propagation: Automatic Annotation of Large Image Databases via Dense Image Correspondence. European Conference on Computer Vision (ECCV), 2012. [pdf] Supplemental materials [coming soon!]

K. Karsch, C. Liu and S.B. Kang. Depth Extraction from Video Using Non-parametric Sampling. European Conference on Computer Vision (ECCV), 2012. Oral presentation. [pdf] [code & data]

M. Tappen and C. Liu. A Bayesian Approach to Alignment-based Image Hallucination. European Conference on Computer Vision (ECCV), 2012. [pdf]

D. Sun and C. Liu. Non-causal Temporal Prior for Video Deblocking. European Conference on Computer Vision (ECCV), 2012. [pdf]

M. Rubinstein, C. Liu and W.T. Freeman. Towards Longer Long-Range Motion Trajectories. British Machine Vision Conference (BMVC), 2012. [pdf]

J. Yuen, C. L. Zitnick, C. Liu, and A. Torralba. A framework for encoding object-level image priors. Microsoft Research Technical Report, MSR-TR-2011-99, 2011. [pdf]

O. Tamuz, C. Liu, S. Belongie, O. Shamir and A. Kalai. Adaptively Learning the Crowd Kernel. 28th International Conference on Machine Learning (ICML), 2011. [pdf]

C. Liu and D. Sun. A Bayesian Approach to Adaptive Video Super Resolution. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011. Oral presentation. [pdf][webpage]

M. Rubinstein, C. Liu, P. Sand, F. Durand, W.T. Freeman. Motion Denoising with Application to Time-lapse Photography. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011. [pdf] [webpage]

C. Liu, J. Yuen and A. Torralba. Nonparametric Scene Parsing via Label Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 33, No. 12, 2011. [pdf] [webpage] [code & data]

C. Liu, J. Yuen and A. Torralba. SIFT flow: dense correspondence across different scenes and its applications. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 33, No.5, 2011. [pdf] [webpage]

C. Liu and William T. Freeman. A High-Quality Video Denoising Algorithm based on Reliable Motion Estimation. European Conference on Computer Vision (ECCV) 2010. Oral presentation. [pdf] [webpage]

C. Liu, L. Sharan, E. H. Adelson and R. Rosenholtz. Exploring features in a Bayesian framework for material recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010. [pdf] [webpage]

2001~2010

J. Yuen, B. Russell, C. Liu and A. Torralba. LabelMe video: Building a Video Database with Human Annotations.IEEE International Conference on Computer Vision (ICCV), Oct 2009. [pdf]

C. Liu. Beyond pixels: exploring new representations and applications for motion analysis. Doctoral Thesis. Massachusetts Institute of Technology. May 2009. [pdf]

C. Liu, J. Yuen, and A. Torralba. Nonparametric scene parsing: label transfer via dense scene alignment. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009. Oral presentation. Best Student Paper Award [pdf] [ppt] [webpage] [code & data]

C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. T. Freeman. SIFT flow: dense correspondence across different scenes. European Conference on Computer Vision (ECCV) 2008. Oral presentation. [webpage] [pdf].

C. Liu, W. T. Freeman, E. H. Adelson and Y. Weiss. Human-assisted motion annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008. Oral presentation. [pdf] [webpage].

C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick and W. T. Freeman. Automatic estimation and removal of noise from a single image. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 30, No. 2, pp. 299-314, Feb., 2008. [pdf] [MSR TR link]

B. Russell, A. Torralba, C. Liu, R. Fergus and W. T. Freeman. Object recognition by scene alignment. Advances in Neural Information Processing Systems(NIPS), 2007. [pdf] [webpage]

C. Liu, H. Y. Shum and W. T. Freeman.Face hallucination: theory and practice. International Journal of Computer Vision (IJCV), Vol. 75, No. 1, pp. 115-134, October, 2007. [pdf] [webpage]

M. F. Tappen, C. Liu, E. H. Adelson and W. T. Freeman. Learning Gaussian conditional random fields for low-level vision. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, 2007. [pdf]

C. Liu, W. T. Freeman and E. H. Adelson. Analysis of Contour Motions. Advances in Neural Information Processing Systems (NIPS), 2006. Oral presentation. Outstanding Student Paper Award. [pdf] [ppt] [webpage]

C. Liu, W. T. Freeman, R. Szeliski and S. B. Kang. Noise estimation from a single image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 901-908, 2006. Oral presentation. [pdf] [ppt] [webpage]

C. Liu, A. Torralba, W.T . Freeman, F. Durand and E. H. Adelson.Motion magnification. ACM SIGGRAPH 2005, pp. 519-526, 2005. [pdf] [ppt] [webpage]

L. Yuan, F. Wen, C. Liu and H. Y. Shum. Synthesizing dynamic texture with closed-loop linear dynamic system. European Conference on Computer Vision (ECCV), 2004. Oral presentation. [pdf]

C. Y. Wu, C. Liu, H. Y. Shum, Y. Q. Xu and Z. Y. Zhang. Automatic eyeglasses removal from face images. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 26, No. 3, pp. 322-336, March 2004. [pdf]

C. Liu and H. Y. Shum.Kullback-Leibler boosting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 587-594, 2003. [pdf] [ppt]

S. C. Yan, C. Liu, S. Z. Li, H.J. Zhang, H. Shum, Q. S. Cheng. Face alignment using texture constrained active shape models. Image and Vision Computing, Vol. 21, Issue 1, Pages 69-75, January, 2003. [pdf]

Z. Q. Liu, C. Liu, H.Y . Shum and Y. Z. Yu. Pattern-based texture metamorphosis. Pacific Conference on Computer Graphics and Applications, pp. 184-193, 2002. [pdf] [ppt] [webpage]

C. Liu, H. Y. Shum and S.C. Zhang. Hierarchical shape model for automatic face localization. European Conference on Computer Vision (ECCV), pp. 687-703, 2002. [pdf]

C. Y. Wu, C. Liu, H. Y. Shum, Y. Q. Xu and Z. Y. Zhang. Automatic eyeglasses removal from face images. Asian Conference on Computer Vision (ACCV), pp. 193-198, 2002. [pdf]

C. Liu, H. Y. Shum and C. S. Zhang. Two-step approach to hallucinating faces: global parametric model and local nonparametric model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Vol. 1, pp. 192-198, 2001. Oral presentation. [pdf] [ppt] [webpage]

L. Liang, C. Liu, Y. Q. Xu, B. N. Guo and H. Y. Shum. Real-time texture synthesis by patch-based sampling. ACM Transactions on Graphics (TOG), Vol. 20, No. 3, pp. 127-150, July 2001. [pdf] [webpage]

C. Liu, S.C. Zhu and H. Y. Shum. Learning inhomogeneous Gibbs model of faces by minimax entropy. IEEE International Conference on Computer Vision (ICCV), pp. 281-287, 2001. [pdf] [webpage]