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Yin 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
— Dongguan University of Technology, School of Cyberspace Security, China (and 2 more)
- Yin Li 0002
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2020 – today
- 2024
- [j22]Xin Zhao
BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision. Int. J. Comput. Vis. 132(5): 1659-1684 (2024) - [j21]Abrar Majeedi
Deep learning to quantify care manipulation activities in neonatal intensive care units. npj Digit. Medicine 7(1) (2024) - [c62]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 - [c61]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 - [c60]Fangzhou Mu, Sicheng Mo, Yin Li:
SnAG: Scalable and Accurate Video Grounding. CVPR 2024: 18930-18940 - [c59]Abrar Majeedi
RICA2: Rubric-Informed, Calibrated Assessment of Actions. ECCV (63) 2024: 143-161 - [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
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
Weakly supervised foreground learning for weakly supervised localization and detection. Pattern Recognit. 137: 109279 (2023) - [j18]Jayoung Lee
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
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
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
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
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
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
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
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
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
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
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
Learning Two-Branch Neural Networks for Image-Text Matching Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 394-407 (2019) - [j15]Yupei Wang
Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks. IEEE Trans. Image Process. 28(3): 1285-1298 (2019) - [j14]Yupei Wang
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
Adaptive Discrete Hypergraph Matching. IEEE Trans. Cybern. 48(2): 765-779 (2018) - [c32]Abhijit Kundu
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
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
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
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
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
The Secrets of Salient Object Segmentation. CVPR 2014: 280-287 - [c18]Junchi Yan, Yin Li, Wei Liu
Graduated Consistency-Regularized Optimization for Multi-graph Matching. ECCV (1) 2014: 407-422 - [c17]Abhijit Kundu
Joint Semantic Segmentation and 3D Reconstruction from Monocular Video. ECCV (6) 2014: 703-718 - [c16]Javier Hernandez, Yin Li, James M. Rehg
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
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
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
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
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
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
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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