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Deqing Sun
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2020 – today
- 2024
- [c73]Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang:
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. 3DV 2024: 201-212 - [c72]Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. CVPR 2024: 3076-3085 - [c71]Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani:
One-Shot Open Affordance Learning with Foundation Models. CVPR 2024: 3086-3096 - [c70]Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann:
WonderJourney: Going from Anywhere to Everywhere. CVPR 2024: 6658-6667 - [c69]Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image. CVPR 2024: 9420-9429 - [c68]Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. CVPR 2024: 19636-19646 - [c67]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes. CVPR 2024: 21634-21643 - [c66]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CVPR 2024: 21795-21806 - [c65]Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, Huaizu Jiang:
SMooDi: Stylized Motion Diffusion Model. ECCV (1) 2024: 405-421 - [c64]Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang:
OmniControl: Control Any Joint at Any Time for Human Motion Generation. ICLR 2024 - [c63]Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. ICML 2024 - [c62]Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Guanghui Liu, Amit Raj, Yuanzhen Li, Michael Rubinstein, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri:
Lumiere: A Space-Time Diffusion Model for Video Generation. SIGGRAPH Asia 2024: 94:1-94:11 - [i63]Mia Gaia Polansky, Charles Herrmann, Junhwa Hur, Deqing Sun, Dor Verbin, Todd E. Zickler:
Boundary Attention: Learning to Find Faint Boundaries at Any Resolution. CoRR abs/2401.00935 (2024) - [i62]Xiaotong Wu, Wei-Sheng Lai, Yi-Chang Shih, Charles Herrmann, Michael Krainin, Deqing Sun, Chia-Kai Liang:
Efficient Hybrid Zoom using Camera Fusion on Mobile Phones. CoRR abs/2401.01461 (2024) - [i61]Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. CoRR abs/2401.10171 (2024) - [i60]Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri:
Lumiere: A Space-Time Diffusion Model for Video Generation. CoRR abs/2401.12945 (2024) - [i59]Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. CoRR abs/2402.07207 (2024) - [i58]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CoRR abs/2404.08636 (2024) - [i57]Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, Huaizu Jiang:
SMooDi: Stylized Motion Diffusion Model. CoRR abs/2407.12783 (2024) - [i56]Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang:
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. CoRR abs/2410.03825 (2024) - [i55]Xirui Li, Charles Herrmann, Kelvin C. K. Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang:
A Simple Approach to Unifying Diffusion-based Conditional Generation. CoRR abs/2410.11439 (2024) - [i54]Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun:
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion. CoRR abs/2410.11838 (2024) - [i53]Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian:
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. CoRR abs/2410.13863 (2024) - 2023
- [j13]Xiaotong Wu, Wei-Sheng Lai, Yichang Shih, Charles Herrmann, Michael Krainin, Deqing Sun, Chia-Kai Liang:
Efficient Hybrid Zoom Using Camera Fusion on Mobile Phones. ACM Trans. Graph. 42(6): 263:1-263:12 (2023) - [c61]Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara:
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. CVPR 2023: 10922-10931 - [c60]Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. CVPR 2023: 11412-11421 - [c59]Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun:
Accidental Light Probes. CVPR 2023: 12521-12530 - [c58]Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. ICCV 2023: 4217-4227 - [c57]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image. ICCV 2023: 22773-22783 - [c56]Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister:
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. MICCAI (3) 2023: 529-539 - [c55]Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet:
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation. NeurIPS 2023 - [c54]Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. NeurIPS 2023 - [i52]Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun:
Accidental Light Probes. CoRR abs/2301.05211 (2023) - [i51]Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. CoRR abs/2302.06833 (2023) - [i50]Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara:
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. CoRR abs/2303.09665 (2023) - [i49]Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang:
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. CoRR abs/2305.01618 (2023) - [i48]Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. CoRR abs/2305.15347 (2023) - [i47]Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet:
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation. CoRR abs/2306.01923 (2023) - [i46]Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins:
Substance or Style: What Does Your Image Embedding Know? CoRR abs/2307.05610 (2023) - [i45]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image. CoRR abs/2309.06323 (2023) - [i44]Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister:
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. CoRR abs/2310.05262 (2023) - [i43]Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang:
OmniControl: Control Any Joint at Any Time for Human Motion Generation. CoRR abs/2310.08580 (2023) - [i42]Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image. CoRR abs/2310.17994 (2023) - [i41]Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. CoRR abs/2311.17034 (2023) - [i40]Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani:
One-Shot Open Affordance Learning with Foundation Models. CoRR abs/2311.17776 (2023) - [i39]Hsin-Ping Huang, Yu-Chuan Su, Deqing Sun, Lu Jiang, Xuhui Jia, Yukun Zhu, Ming-Hsuan Yang:
Fine-grained Controllable Video Generation via Object Appearance and Context. CoRR abs/2312.02919 (2023) - [i38]Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann:
WonderJourney: Going from Anywhere to Everywhere. CoRR abs/2312.03884 (2023) - [i37]Xiaogang Peng, Yiming Xie, Zizhao Wu, Varun Jampani, Deqing Sun, Huaizu Jiang:
HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models. CoRR abs/2312.06553 (2023) - [i36]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes. CoRR abs/2312.07920 (2023) - [i35]Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David J. Fleet:
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model. CoRR abs/2312.13252 (2023) - 2022
- [j12]Jinshan Pan, Deqing Sun, Jiawei Zhang, Jinhui Tang, Jian Yang, Yu-Wing Tai, Ming-Hsuan Yang:
Dual Convolutional Neural Networks for Low-Level Vision. Int. J. Comput. Vis. 130(6): 1440-1458 (2022) - [j11]Wei-Sheng Lai, Yichang Shih, Lun-Cheng Chu, Xiaotong Wu, Sung-Fang Tsai, Michael Krainin, Deqing Sun, Chia-Kai Liang:
Face deblurring using dual camera fusion on mobile phones. ACM Trans. Graph. 41(4): 148:1-148:16 (2022) - [c53]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c52]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 - [c51]Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang:
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. ECCV (13) 2022: 37-54 - [c50]Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
Disentangling Architecture and Training for Optical Flow. ECCV (22) 2022: 165-182 - [c49]Fitsum A. Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless:
FILM: Frame Interpolation for Large Motion. ECCV (7) 2022: 250-266 - [c48]Rakesh Jasti, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Multi-Frame Video Prediction with Learnable Motion Encodings. ICIP 2022: 4198-4202 - [c47]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022 - [c46]Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. NeurIPS 2022 - [i34]Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022) - [i33]Fitsum A. Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless:
FILM: Frame Interpolation for Large Motion. CoRR abs/2202.04901 (2022) - [i32]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i31]Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
What Makes RAFT Better Than PWC-Net? CoRR abs/2203.10712 (2022) - [i30]Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang:
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. CoRR abs/2203.12175 (2022) - [i29]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR abs/2204.07962 (2022) - [i28]Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. CoRR abs/2205.15768 (2022) - [i27]Wei-Sheng Lai, Yi-Chang Shih, Lun-Cheng Chu, Xiaotong Wu, Sung-Fang Tsai, Michael Krainin, Deqing Sun, Chia-Kai Liang:
Face Deblurring using Dual Camera Fusion on Mobile Phones. CoRR abs/2207.11617 (2022) - [i26]Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. CoRR abs/2212.01762 (2022) - 2021
- [j10]Jinshan Pan, Deqing Sun, Jian Yang, Wangmeng Zuo, Paolo Favaro, Yasuyuki Matsushita, Ming-Hsuan Yang:
Editorial for CVIU_DL for image restoration. Comput. Vis. Image Underst. 208-209: 103222 (2021) - [c45]Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. BMVC 2021: 109 - [c44]Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang:
Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC 2021: 265 - [c43]Feitong Tan, Danhang Tang, Mingsong Dou, Kaiwen Guo, Rohit Pandey, Cem Keskin, Ruofei Du, Deqing Sun, Sofien Bouaziz, Sean Ryan Fanello, Ping Tan, Yinda Zhang:
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences. CVPR 2021: 1820-1830 - [c42]Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. CVPR 2021: 8334-8343 - [c41]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 - [c40]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 - [c39]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 - [i25]Feitong Tan, Danhang Tang, Mingsong Dou, Kaiwen Guo, Rohit Pandey, Cem Keskin, Ruofei Du, Deqing Sun, Sofien Bouaziz, Sean Ryan Fanello, Ping Tan, Yinda Zhang:
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences. CoRR abs/2103.15573 (2021) - [i24]Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. CoRR abs/2104.01893 (2021) - [i23]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) - [i22]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) - [i21]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR abs/2110.03921 (2021) - [i20]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
- [j9]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1408-1423 (2020) - [c38]Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang:
Image Formation Model Guided Deep Image Super-Resolution. AAAI 2020: 11807-11814 - [c37]Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xinyu Zhang, Kehan Xu, Ming-Hsuan Yang:
Learnable Cost Volume Using the Cayley Representation. ECCV (9) 2020: 483-499 - [i19]Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. CoRR abs/2007.10321 (2020) - [i18]Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xinyu Zhang, Kehan Xu, Ming-Hsuan Yang:
Learnable Cost Volume Using the Cayley Representation. CoRR abs/2007.11431 (2020) - [i17]Jialiang Wang, Varun Jampani, Deqing Sun, Charles T. Loop, Stan Birchfield, Jan Kautz:
Improving Deep Stereo Network Generalization with Geometric Priors. CoRR abs/2008.11098 (2020)
2010 – 2019
- 2019
- [c36]Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Video Stitching for Linear Camera Arrays. BMVC 2019: 130 - [c35]Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz:
Pixel-Adaptive Convolutional Neural Networks. CVPR 2019: 11166-11175 - [c34]Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. CVPR 2019: 12240-12249 - [c33]Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Unsupervised Video Interpolation Using Cycle Consistency. ICCV 2019: 892-900 - [c32]Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: A Shared Encoder Network for Scene-Flow Estimation. ICCV 2019: 3194-3203 - [c31]Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Fusion Approach for Multi-Frame Optical Flow Estimation. WACV 2019: 2077-2086 - [i16]Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz:
Pixel-Adaptive Convolutional Neural Networks. CoRR abs/1904.05373 (2019) - [i15]Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Unsupervised Video Interpolation Using Cycle Consistency. CoRR abs/1906.05928 (2019) - [i14]Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Video Stitching for Linear Camera Arrays. CoRR abs/1907.13622 (2019) - [i13]Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: a Shared Encoder Network for Scene-flow Estimation. CoRR abs/1910.12361 (2019) - 2018
- [j8]Jinshan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang:
Deblurring Images via Dark Channel Prior. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2315-2328 (2018) - [c30]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-Specific Video Streaming. AAAI 2018: 7363-7370 - [c29]Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz:
Learning Superpixels With Segmentation-Aware Affinity Loss. CVPR 2018: 568-576 - [c28]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CVPR 2018: 2530-2539 - [c27]Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. J. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang:
Learning Dual Convolutional Neural Networks for Low-Level Vision. CVPR 2018: 3070-3079 - [c26]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. CVPR 2018: 8934-8943 - [c25]Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz:
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CVPR 2018: 9000-9008 - [c24]Xiangyu Xu, Deqing Sun, Sifei Liu, Wenqi Ren, Yu-Jin Zhang, Ming-Hsuan Yang, Jian Sun:
Rendering Portraitures from Monocular Camera and Beyond. ECCV (9) 2018: 36-51 - [c23]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. ECCV (7) 2018: 363-380 - [c22]Zhaoyang Lv, Kihwan Kim, Alejandro J. Troccoli, Deqing Sun, James M. Rehg, Jan Kautz:
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. ECCV (5) 2018: 484-501 - [c21]Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Simple and Effective Fusion Approach for Multi-frame Optical Flow Estimation. ECCV Workshops (6) 2018: 706-710 - [c20]Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff:
"What Is Optical Flow For?": Workshop Results and Summary. ECCV Workshops (6) 2018: 731-739 - [c19]Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, Ming-Hsuan Yang:
Learning Data Terms for Non-blind Deblurring. ECCV (11) 2018: 777-792 - [i12]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CoRR abs/1802.08275 (2018) - [i11]Zhaoyang Lv, Kihwan Kim, Alejandro J. Troccoli, Deqing Sun, James M. Rehg, Jan Kautz:
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. CoRR abs/1804.04259 (2018) - [i10]Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. J. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang:
Learning Dual Convolutional Neural Networks for Low-Level Vision. CoRR abs/1805.05020 (2018) - [i9]Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. CoRR abs/1805.09806 (2018) - [i8]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. CoRR abs/1807.10174 (2018) - [i7]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. CoRR abs/1809.05571 (2018) - [i6]Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Fusion Approach for Multi-Frame Optical Flow Estimation. CoRR abs/1810.10066 (2018) - 2017
- [j7]Nicolas Bonneel, James Tompkin, Deqing Sun, Oliver Wang, Kalyan Sunkavalli, Sylvain Paris, Hanspeter Pfister:
Consistent Video Filtering for Camera Arrays. Comput. Graph. Forum 36(2): 397-407 (2017) - [j6]Tine Bech, Deqing Sun, Peiqi Su, David-Alexandre Chanel, Romain Constant, Anthony Rowe, Liam Birtles, Chris Bennewith, Oliver Bown:
Demo hour. Interactions 24(2): 10-13 (2017) - [j5]Deqing Sun, Peiqi Su:
Plinko poetry. Interactions 24(3): 14-15 (2017) - [c18]Zhile Ren, Deqing Sun, Jan Kautz, Erik B. Sudderth:
Cascaded Scene Flow Prediction Using Semantic Segmentation. 3DV 2017: 225-233 - [c17]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c16]Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, Ming-Hsuan Yang:
Learning to Super-Resolve Blurry Face and Text Images. ICCV 2017: 251-260 - [i5]Zhile Ren, Deqing Sun, Jan Kautz, Erik B. Sudderth:
Cascaded Scene Flow Prediction using Semantic Segmentation. CoRR abs/1707.08313 (2017) - [i4]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. CoRR abs/1709.02371 (2017) - [i3]Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz:
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CoRR abs/1712.00080 (2017) - [i2]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-specific Video Streaming. CoRR abs/1712.05087 (2017) - 2016
- [c15]Jin-shan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang:
Blind Image Deblurring Using Dark Channel Prior. CVPR 2016: 1628-1636 - [c14]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CVPR 2016: 3889-3898 - [c13]Deqing Sun, Peiqi Su:
Plinko Poetry 2012. SIGGRAPH Art Gallery 2016: 358-359 - [i1]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CoRR abs/1603.03911 (2016) - 2015
- [j4]Nicolas Bonneel, James Tompkin, Kalyan Sunkavalli, Deqing Sun, Sylvain Paris, Hanspeter Pfister:
Blind video temporal consistency. ACM Trans. Graph. 34(6): 196:1-196:9 (2015) - [c12]Deqing Sun, Erik B. Sudderth, Hanspeter Pfister:
Layered RGBD scene flow estimation. CVPR 2015: 548-556 - 2014
- [j3]Deqing Sun, Stefan Roth, Michael J. Black:
A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them. Int. J. Comput. Vis. 106(2): 115-137 (2014) - [j2]Ce Liu, Deqing Sun:
On Bayesian Adaptive Video Super Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 346-360 (2014) - [c11]Deqing Sun, Ce Liu, Hanspeter Pfister:
Local Layering for Joint Motion Estimation and Occlusion Detection. CVPR 2014: 1098-1105 - [c10]Laura Sevilla-Lara, Deqing Sun, Erik G. Learned-Miller, Michael J. Black:
Optical Flow Estimation with Channel Constancy. ECCV (1) 2014: 423-438 - 2013
- [b1]Deqing Sun:
From Pixels to Layers: Joint Motion Estimation and Segmentation. Brown University, USA, 2013 - [c9]Deqing Sun, Jonas Wulff, Erik B. Sudderth, Hanspeter Pfister, Michael J. Black:
A Fully-Connected Layered Model of Foreground and Background Flow. CVPR 2013: 2451-2458 - 2012
- [c8]Deqing Sun, Erik B. Sudderth, Michael J. Black:
Layered segmentation and optical flow estimation over time. CVPR 2012: 1768-1775 - [c7]Deqing Sun, Ce Liu:
Non-causal Temporal Prior for Video Deblocking. ECCV (5) 2012: 510-523 - 2011
- [c6]Ce Liu, Deqing Sun:
A Bayesian approach to adaptive video super resolution. CVPR 2011: 209-216 - 2010
- [c5]Deqing Sun, Stefan Roth, Michael J. Black:
Secrets of optical flow estimation and their principles. CVPR 2010: 2432-2439 - [c4]Deqing Sun, Erik B. Sudderth, Michael J. Black:
Layered image motion with explicit occlusions, temporal consistency, and depth ordering. NIPS 2010: 2226-2234
2000 – 2009
- 2008
- [c3]Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. Black:
Learning Optical Flow. ECCV (3) 2008: 83-97 - 2007
- [j1]Deqing Sun, Wai-kuen Cham:
Postprocessing of Low Bit-Rate Block DCT Coded Images Based on a Fields of Experts Prior. IEEE Trans. Image Process. 16(11): 2743-2751 (2007) - [c2]Deqing Sun, Wai-kuen Cham:
An Effective Postprocessing Method for Lowbit Rate Block DCT Coded Images. ICASSP (1) 2007: 705-708 - [c1]Yifeng Jiang, Jun Xie, Deqing Sun, Hung-Tat Tsui:
Shape Registration by Simultaneously Optimizing Representation and Transformation. MICCAI (2) 2007: 809-817
Coauthor Index
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