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ORCIDYin Li 0003
Person information
- affiliation: University of Wisconsin-Madison, Biostatistics & Medical Informatics, USA
- affiliation (former): Georgia Institute of Technology, USA
Other persons with the same name
- Yin Li — disambiguation page
- Yin Li 0001
![[0000-0002-9529-8481]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9529-8481")
— Dongguan University of Technology, School of Cyberspace Security, China (and 2 more) - Yin Li 0002 — Shenzhen University, College of Electronics and Information Engineering, China (and 1 more)
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2020 – today
- 2024
[j22]Xin Zhao, Shiyu Hu, Yipei Wang, Jing Zhang, Yimin Hu, Rongshuai Liu, Haibin Ling, Yin Li, Renshu Li, Kun Liu, Jiadong Li:
BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision. Int. J. Comput. Vis. 132(5): 1659-1684 (2024)- [j21]Abrar Majeedi, Ryan M. McAdams, Ravneet Kaur, Shubham Gupta, Harpreet Singh, Yin Li:
Deep learning to quantify care manipulation activities in neonatal intensive care units. npj Digit. Medicine 7(1) (2024) - [c61]Fangzhou Mu, Carter Sifferman, Sacha Jungerman, Yiquan Li, Mark Han, Michael Gleicher, Mohit Gupta, Yin Li:
Towards 3D Vision with Low-Cost Single-Photon Cameras. CVPR 2024: 5302-5311 - [c60]Sicheng Mo, Fangzhou Mu, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou:
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition. CVPR 2024: 7465-7475 - [c59]Fangzhou Mu, Sicheng Mo, Yin Li:
SnAG: Scalable and Accurate Video Grounding. CVPR 2024: 18930-18940 - [c58]Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR 2024 - [i38]Xin Zhao, Shiyu Hu, Yipei Wang, Jing Zhang, Yimin Hu, Rongshuai Liu, Haibin Ling, Yin Li, Renshu Li, Kun Liu, Jiadong Li:
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision. CoRR abs/2402.04519 (2024) - [i37]Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR abs/2402.15017 (2024) - [i36]Fangzhou Mu, Carter Sifferman, Sacha Jungerman, Yiquan Li, Mark Han, Michael Gleicher, Mohit Gupta, Yin Li:
Towards 3D Vision with Low-Cost Single-Photon Cameras. CoRR abs/2403.17801 (2024) - [i35]Fangzhou Mu, Sicheng Mo, Yin Li:
SnAG: Scalable and Accurate Video Grounding. CoRR abs/2404.02257 (2024) - [i34]Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li:
RICA2: Rubric-Informed, Calibrated Assessment of Actions. CoRR abs/2408.02138 (2024) - 2023
- [j20]Yin Li, Miao Liu, James M. Rehg:
In the Eye of the Beholder: Gaze and Actions in First Person Video. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6731-6747 (2023) - [j19]Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly supervised foreground learning for weakly supervised localization and detection. Pattern Recognit. 137: 109279 (2023) - [j18]Jayoung Lee, Pengcheng Wang, Ran Xu, Sarthak Jain, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, Somali Chaterji:
Virtuoso: Energy- and Latency-aware Streamlining of Streaming Videos on Systems-on-Chips. ACM Trans. Design Autom. Electr. Syst. 28(3): 31:1-31:32 (2023) - [c57]Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li:
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. CVPR 2023: 14825-14835 - [c56]Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Yin Li, Mohit Gupta, Andreas Velten:
Learned Compressive Representations for Single-Photon 3D Imaging. ICCV 2023: 10722-10732 - [c55]Matthew Dutson, Yin Li, Mohit Gupta:
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers. ICCV 2023: 16865-16877 - [c54]Matthew Dutson, Yin Li, Mohit Gupta:
Spike-Based Anytime Perception. WACV 2023: 5283-5293 - [i33]Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li:
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. CoRR abs/2303.17839 (2023) - [i32]Zhengyang Lou, Huan Xu, Fangzhou Mu, Yanli Liu, Xiaoyu Zhang, Liang Shang, Jiang Li, Bochen Guan, Yin Li, Yu Hen Hu:
SimHaze: game engine simulated data for real-world dehazing. CoRR abs/2305.16481 (2023) - [i31]Lin Sui, Fangzhou Mu, Yin Li:
NMS Threshold matters for Ego4D Moment Queries - 2nd place solution to the Ego4D Moment Queries Challenge 2023. CoRR abs/2307.02025 (2023) - [i30]Matthew Dutson, Yin Li, Mohit Gupta:
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers. CoRR abs/2308.13494 (2023) - [i29]Sicheng Mo, Fangzhou Mu, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou:
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition. CoRR abs/2312.07536 (2023) - 2022
- [c53]Ran Xu, Fangzhou Mu, Jayoung Lee, Preeti Mukherjee, Somali Chaterji, Saurabh Bagchi, Yin Li:
Smartadapt: Multi-branch Object Detection Framework for Videos on Mobiles. CVPR 2022: 2518-2528 - [c52]Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li:
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image. CVPR 2022: 16252-16261 - [c51]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CVPR 2022: 16772-16782 - [c50]Matthew Dutson, Yin Li, Mohit Gupta:
Event Neural Networks. ECCV (11) 2022: 276-293 - [c49]Sacha Jungerman, Atul Ingle, Yin Li, Mohit Gupta:
3D Scene Inference from Transient Histograms. ECCV (7) 2022: 401-417 - [c48]Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. ECCV (4) 2022: 492-510 - [c47]Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. ECCV (13) 2022: 621-638 - [c46]Ran Xu, Jayoung Lee, Pengcheng Wang, Saurabh Bagchi, Yin Li, Somali Chaterji:
LiteReconfig: cost and content aware reconfiguration of video object detection systems for mobile GPUs. EuroSys 2022: 334-351 - [c45]Bhavya Goyal, Jean-François Lalonde, Yin Li, Mohit Gupta:
Robust Scene Inference under Noise-Blur Dual Corruptions. ICCP 2022: 1-12 - [i28]Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. CoRR abs/2202.07925 (2022) - [i27]Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li:
Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging. CoRR abs/2205.01679 (2022) - [i26]Bhavya Goyal, Jean-François Lalonde, Yin Li, Mohit Gupta:
Robust Scene Inference under Noise-Blur Dual Corruptions. CoRR abs/2207.11643 (2022) - [i25]Sacha Jungerman, Atul Ingle, Yin Li, Mohit Gupta:
3D Scene Inference from Transient Histograms. CoRR abs/2211.05094 (2022) - [i24]Sicheng Mo, Fangzhou Mu, Yin Li:
A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge. CoRR abs/2211.08704 (2022) - [i23]Fangzhou Mu, Sicheng Mo, Gillian Wang, Yin Li:
Where a Strong Backbone Meets Strong Features - ActionFormer for Ego4D Moment Queries Challenge. CoRR abs/2211.09074 (2022) - 2021
- [c44]Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. AAAI 2021: 14138-14148 - [c43]Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu:
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation. CVPR 2021: 14090-14100 - [c42]Bin Li, Yin Li, Kevin W. Eliceiri:
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning. CVPR 2021: 14318-14328 - [c41]Yiwu Zhong, Jing Shi, Jianwei Yang, Chenliang Xu, Yin Li:
Learning to Generate Scene Graph from Natural Language Supervision. ICCV 2021: 1803-1814 - [c40]Jing Shi, Yiwu Zhong, Ning Xu, Yin Li, Chenliang Xu:
A Simple Baseline for Weakly-Supervised Scene Graph Generation. ICCV 2021: 16373-16382 - [c39]Jayoung Lee, Pengcheng Wang, Ran Xu, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, Somali Chaterji:
Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention. EMDL@MobiSys 2021: 19-24 - [i22]Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. CoRR abs/2102.03902 (2021) - [i21]Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. CoRR abs/2105.09544 (2021) - [i20]Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. CoRR abs/2108.01785 (2021) - [i19]Yiwu Zhong, Jing Shi, Jianwei Yang, Chenliang Xu, Yin Li:
Learning to Generate Scene Graph from Natural Language Supervision. CoRR abs/2109.02227 (2021) - [i18]Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li:
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image. CoRR abs/2112.00169 (2021) - [i17]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CoRR abs/2112.09106 (2021) - [i16]Jayoung Lee, Pengcheng Wang, Ran Xu, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, Somali Chaterji:
Virtuoso: Video-based Intelligence for real-time tuning on SOCs. CoRR abs/2112.13076 (2021) - 2020
- [j17]Fang Hu, Peng He, Songlin Xu, Yin Li, Cheng Zhang:
FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by Miniature Thermal Cameras on Wrist. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 71:1-71:24 (2020) - [c38]Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg:
Attention Distillation for Learning Video Representations. BMVC 2020 - [c37]Zixuan Huang, Yin Li:
Interpretable and Accurate Fine-grained Recognition via Region Grouping. CVPR 2020: 8659-8669 - [c36]Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li:
Comprehensive Image Captioning via Scene Graph Decomposition. ECCV (14) 2020: 211-229 - [c35]Miao Liu, Siyu Tang, Yin Li, James M. Rehg:
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video. ECCV (1) 2020: 704-721 - [c34]Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. ICLR 2020 - [c33]Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi:
ApproxDet: content and contention-aware approximate object detection for mobiles. SenSys 2020: 449-462 - [i15]Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. CoRR abs/2004.05529 (2020) - [i14]Zixuan Huang, Yin Li:
Interpretable and Accurate Fine-grained Recognition via Region Grouping. CoRR abs/2005.10411 (2020) - [i13]Yin Li, Miao Liu, James M. Rehg:
In the Eye of the Beholder: Gaze and Actions in First Person Video. CoRR abs/2006.00626 (2020) - [i12]Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu:
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation. CoRR abs/2007.01951 (2020) - [i11]Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li:
Comprehensive Image Captioning via Scene Graph Decomposition. CoRR abs/2007.11731 (2020) - [i10]Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi:
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles. CoRR abs/2010.10754 (2020) - [i9]Bin Li, Yin Li, Kevin W. Eliceiri:
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning. CoRR abs/2011.08939 (2020)
2010 – 2019
- 2019
- [j16]Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik:
Learning Two-Branch Neural Networks for Image-Text Matching Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 394-407 (2019) - [j15]Yupei Wang, Xin Zhao, Yin Li, Kaiqi Huang:
Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks. IEEE Trans. Image Process. 28(3): 1285-1298 (2019) - [j14]Yupei Wang, Xin Zhao, Xuecai Hu, Yin Li, Kaiqi Huang:
Focal Boundary Guided Salient Object Detection. IEEE Trans. Image Process. 28(6): 2813-2824 (2019) - [i8]Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg:
Paying More Attention to Motion: Attention Distillation for Learning Video Representations. CoRR abs/1904.03249 (2019) - [i7]Miao Liu, Siyu Tang, Yin Li, James M. Rehg:
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity. CoRR abs/1911.10967 (2019) - 2018
- [b1]Yin Li:
Learning embodied models of actions from first person video. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [j13]Junchi Yan, Changsheng Li, Yin Li, Guitao Cao:
Adaptive Discrete Hypergraph Matching. IEEE Trans. Cybern. 48(2): 765-779 (2018) - [c32]Abhijit Kundu, Yin Li, James M. Rehg:
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. CVPR 2018: 3559-3568 - [c31]Keizo Kato, Yin Li, Abhinav Gupta:
Compositional Learning for Human Object Interaction. ECCV (14) 2018: 247-264 - [c30]Yin Li, Miao Liu, James M. Rehg:
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video. ECCV (5) 2018: 639-655 - [c29]Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang:
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion. IJCAI 2018: 1007-1013 - [c28]Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. ISER 2018: 375-386 - [c27]Yin Li, Abhinav Gupta:
Beyond Grids: Learning Graph Representations for Visual Recognition. NeurIPS 2018: 9245-9255 - [i6]Yupei Wang, Xin Zhao, Yin Li, Kaiqi Huang:
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks. CoRR abs/1801.02439 (2018) - [i5]Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. CoRR abs/1805.04201 (2018) - 2017
- [c26]Yun C. Zhang, Yin Li, James M. Rehg:
First-Person Action Decomposition and Zero-Shot Learning. WACV 2017: 121-129 - [p1]Hrishikesh Rao, Mark A. Clements, Yin Li, Meghan R. Swanson, Joseph Piven, Daniel S. Messinger:
Paralinguistic Analysis of Children's Speech in Natural Environments. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 219-238 - [i4]Liwei Wang, Yin Li, Svetlana Lazebnik:
Learning Two-Branch Neural Networks for Image-Text Matching Tasks. CoRR abs/1704.03470 (2017) - 2016
- [c25]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CVPR 2016: 1619-1627 - [c24]Liwei Wang, Yin Li, Svetlana Lazebnik:
Learning Deep Structure-Preserving Image-Text Embeddings. CVPR 2016: 5005-5013 - 2015
- [j12]Javier Hernandez, Yin Li, James M. Rehg, Rosalind W. Picard:
Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors. EAI Endorsed Trans. Pervasive Health Technol. 1(1): e2 (2015) - [c23]Hrishikesh Rao, Zhefan Ye, Yin Li, Mark A. Clements, Agata Rozga, James M. Rehg:
Combining acoustic and visual features to detect laughter in adults' speech. AVSP 2015: 153-156 - [c22]Yin Li, Zhefan Ye, James M. Rehg:
Delving into egocentric actions. CVPR 2015: 287-295 - [c21]Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh:
Gaze-enabled egocentric video summarization via constrained submodular maximization. CVPR 2015: 2235-2244 - [c20]Zhefan Ye, Yin Li, Yun Liu, Chanel Bridges, Agata Rozga, James M. Rehg:
Detecting bids for eye contact using a wearable camera. FG 2015: 1-8 - [i3]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CoRR abs/1511.04166 (2015) - [i2]Liwei Wang, Yin Li, Svetlana Lazebnik:
Learning Deep Structure-Preserving Image-Text Embeddings. CoRR abs/1511.06078 (2015) - 2014
- [c19]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CVPR 2014: 280-287 - [c18]Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu:
Graduated Consistency-Regularized Optimization for Multi-graph Matching. ECCV (1) 2014: 407-422 - [c17]Abhijit Kundu, Yin Li, Frank Dellaert, Fuxin Li, James M. Rehg:
Joint Semantic Segmentation and 3D Reconstruction from Monocular Video. ECCV (6) 2014: 703-718 - [c16]Javier Hernandez, Yin Li, James M. Rehg, Rosalind W. Picard:
BioGlass: Physiological parameter estimation using a head-mounted wearable device. MobiHealth 2014: 55-58 - [i1]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CoRR abs/1406.2807 (2014) - 2013
- [c15]James M. Rehg, Gregory D. Abowd, Agata Rozga, Mario Romero, Mark A. Clements, Stan Sclaroff, Irfan A. Essa, Opal Y. Ousley, Yin Li, Chanho Kim, Hrishikesh Rao, Jonathan C. Kim, Liliana Lo Presti, Jianming Zhang, Denis Lantsman, Jonathan Bidwell, Zhefan Ye:
Decoding Children's Social Behavior. CVPR 2013: 3414-3421 - [c14]Yin Li, Alireza Fathi, James M. Rehg:
Learning to Predict Gaze in Egocentric Video. ICCV 2013: 3216-3223 - 2012
- [c13]Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg:
Learning sparse covariance patterns for natural scenes. CVPR 2012: 2767-2774 - [c12]Alireza Fathi, Yin Li, James M. Rehg:
Learning to Recognize Daily Actions Using Gaze. ECCV (1) 2012: 314-327 - [c11]Zhefan Ye, Yin Li, Alireza Fathi, Yi Han, Agata Rozga, Gregory D. Abowd, James M. Rehg:
Detecting eye contact using wearable eye-tracking glasses. UbiComp 2012: 699-704 - 2011
- [j11]Yue Zhou, Yin Li, Zheng Wu, Meilin Ge:
Robust facial feature points extraction in color images. Eng. Appl. Artif. Intell. 24(1): 195-200 (2011) - [j10]Lv Guo, Yin Li, Jie Yang, Li Lu:
Hole-Filling by Rank Sparsity Tensor Decomposition for Medical Imaging. IEICE Trans. Inf. Syst. 94-D(2): 396-399 (2011) - 2010
- [j9]Lv Guo, Yin Li, Jie Yang, Li Lu:
Exploration into Single Image Super-Resolution via Self Similarity by Sparse Representation. IEICE Trans. Inf. Syst. 93-D(11): 3144-3148 (2010) - [j8]Junchi Yan, Shuhan Shen, Yin Li, Yuncai Liu:
An Optimization Based Framework for Human Pose Estimation. IEEE Signal Process. Lett. 17(8): 766-769 (2010) - [c10]Yin Li, Junchi Yan, Yue Zhou, Jie Yang:
Optimum Subspace Learning and Error Correction for Tensors. ECCV (3) 2010: 790-803 - [c9]Junchi Yan, Jian Liu, Yin Li, Zhibin Niu, Yuncai Liu:
Visual saliency detection via rank-sparsity decomposition. ICIP 2010: 1089-1092 - [c8]Yin Li, Yue Zhou, Junchi Yan, Jie Yang, Xiangjian He:
Tensor error correction for corrupted values in visual data. ICIP 2010: 2321-2324
2000 – 2009
- 2009
- [c7]Yin Li, Yue Zhou, Junchi Yan, Zhibin Niu, Jie Yang:
Visual Saliency Based on Conditional Entropy. ACCV (1) 2009: 246-257 - [c6]Junchi Yan, Yin Li, EnLiang Zheng, Yuncai Liu:
An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments. ACCV (2) 2009: 313-324 - [c5]Yin Li, Yue Zhou, Lei Xu, Xiaochao Yang, Jie Yang:
Incremental sparse saliency detection. ICIP 2009: 3093-3096 - 2006
- [j7]Sing Bing Kang, Yin Li, Xin Tong, Heung-Yeung Shum:
Image-Based Rendering. Found. Trends Comput. Graph. Vis. 2(3) (2006) - [j6]Jian Sun, Yin Li, Sing Bing Kang, Heung-Yeung Shum:
Flash matting. ACM Trans. Graph. 25(3): 772-778 (2006) - 2005
- [j5]Yin Li, Jian Sun, Heung-Yeung Shum:
Video object cut and paste. ACM Trans. Graph. 24(3): 595-600 (2005) - [c4]Jian Sun, Yin Li, Sing Bing Kang:
Symmetric Stereo Matching for Occlusion Handling. CVPR (2) 2005: 399-406 - 2004
- [j4]Yin Li, Heung-Yeung Shum, Chi-Keung Tang, Richard Szeliski:
Stereo Reconstruction from Multiperspective Panoramas. IEEE Trans. Pattern Anal. Mach. Intell. 26(1): 45-62 (2004) - [j3]Heung-Yeung Shum, Jian Sun, Shuntaro Yamazaki, Yin Li, Chi-Keung Tang:
Pop-up light field: An interactive image-based modeling and rendering system. ACM Trans. Graph. 23(2): 143-162 (2004) - [j2]Yin Li, Jian Sun, Chi-Keung Tang, Heung-Yeung Shum:
Lazy snapping. ACM Trans. Graph. 23(3): 303-308 (2004) - 2003
- [j1]Sing Bing Kang, Minsheng Wu, Yin Li, Heung-Yeung Shum:
Large environment rendering using plenoptic primitives. IEEE Trans. Circuits Syst. Video Technol. 13(11): 1064-1073 (2003) - [c3]Yin Li, Xin Tong, Chi-Keung Tang, Heung-Yeung Shum:
Rendering driven depth reconstruction. ICASSP (4) 2003: 780-783 - [c2]Yin Li, Michael Gleicher, Ying-Qing Xu, Heung-Yeung Shum:
Stylizing motion with drawings. Symposium on Computer Animation 2003: 309-319 - 2001
- [c1]Yin Li, Chi-Keung Tang, Heung-Yeung Shum:
Efficient Dense Depth Estimation from Dense Multiperspective Panoramas. ICCV 2001: 119-126
Coauthor Index
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