Wang, Jing

109 publications

NeurIPS 2025 Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies Jing Wang, Weiting Peng, Jing Tang, Zeyu Gong, Xihua Wang, Bo Tao, Li Cheng

CVPR 2025 AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-View Clustering Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm, Michael C. Kampffmeyer

CVPR 2025 An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models Wentao Qu, Jing Wang, YongShun Gong, Xiaoshui Huang, Liang Xiao

IJCAI 2025 A³-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learning Geng Chen, Xufeng Jian, Yuchen Chen, Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Jing Wang, Jianxin Liao

ICML 2025 COSDA: Counterfactual-Based Susceptibility Risk Framework for Open-Set Domain Adaptation Wenxu Wang, Rui Zhou, Jing Wang, Yun Zhou, Cheng Zhu, Ruichun Tang, Bo Han, Nevin L. Zhang

ICLR 2025 CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design Wenji Fang, Shang Liu, Jing Wang, Zhiyao Xie

AAAI 2025 CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li

ICML 2025 DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models Boyu Zhang, Aocheng Shen, Bing Liu, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng

CoRL 2025 DreamGen: Unlocking Generalization in Robot Learning Through Video World Models Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loïc Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan

NeurIPS 2025 ECO: Evolving Core Knowledge for Efficient Transfer Fu Feng, Yucheng Xie, Ruixiao Shi, Jianlu Shen, Jing Wang, Xin Geng

NeurIPS 2025 Enhancing Consistency of Flow-Based Image Editing Through Kalman Control Haozhe Chi, Zhicheng Sun, Yang Jin, Yi Ma, Jing Wang, Yadong Mu

CoRL 2025 FLARE: Robot Learning with Implicit World Modeling Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loïc Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan

IJCAI 2025 FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-Frame Textual Guidance Jiasong Feng, Ao Ma, Jing Wang, Ke Cao, Zhanjie Zhang

NeurIPS 2025 From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs Xiyuan Jin, Jing Wang, Ziwei Lin, Qianru Jia, Yuqing Huang, Xiaojun Ning, Zhonghua Shi, Youfang Lin

NeurIPS 2025 FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang, Junjie Ren, Qianhong Ma, Jianyu Wu, Aobo Yang, Yan Lu, Lu Chen, Hairun Xie, Jing Wang, Miao Zhang, Wanli Ouyang, Shixiang Tang

NeurIPS 2025 Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians Xingyu Liu, Pengfei Ren, Qi Qi, Haifeng Sun, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang

ICML 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

ICML 2025 KIND: Knowledge Integration and Diversion for Training Decomposable Models Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng

IJCAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

ICCV 2025 Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation Ao Ma, Jiasong Feng, Ke Cao, Jing Wang, Yun Wang, Quanwei Zhang, Zhanjie Zhang

ICCV 2025 MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding Tongtong Cheng, Rongzhen Li, Yixin Xiong, Tao Zhang, Jing Wang, Kai Liu

TMLR 2025 ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs Bingxin Zhou, Outongyi Lv, Jing Wang, Xiang Xiao, Weishu Zhao

CVPR 2025 Online Video Understanding: OVBench and VideoChat-Online Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng, Cheng Liang, Tao Wu, Xi Chen, Liang Li, Limin Wang

ICML 2025 Optimal Information Retention for Time-Series Explanations Jinghang Yue, Jing Wang, Lu Zhang, Shuo Zhang, Da Li, Zhaoyang Ma, Youfang Lin

ICLR 2025 PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin, Xiaodan Liang

CVPR 2025 PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-Wise Video Super-Resolution Shian Du, Menghan Xia, Chang Liu, Xintao Wang, Jing Wang, Pengfei Wan, Di Zhang, Xiangyang Ji

ICCV 2025 Prior-Aware Dynamic Temporal Modeling Framework for Sequential 3D Hand Pose Estimation Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Xingyu Liu, Menghao Zhang, Lei Zhang, Jing Wang, Jianxin Liao

NeurIPS 2025 REFED: A Subject Real-Time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset Xiaojun Ning, Jing Wang, Zhiyang Feng, Tianzuo Xin, Shuo Zhang, Shaoqi Zhang, Zheng Lian, Yi Ding, Youfang Lin, Ziyu Jia

NeurIPS 2025 RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation Between Labels Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng

CVPR 2025 Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng

ICCV 2025 SAMPLE: Semantic Alignment Through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition Jing Wang, Rui Zhao, Ruiqin Xiong, Xingtao Wang, Xiaopeng Fan, Tiejun Huang

AAAI 2025 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang

NeurIPS 2025 StreamForest: Efficient Online Video Understanding with Persistent Event Memory Xiangyu Zeng, Kefan Qiu, Qingyu Zhang, Xinhao Li, Jing Wang, Jiaxin Li, Ziang Yan, Kun Tian, Meng Tian, Xinhai Zhao, Yi Wang, Limin Wang

ICML 2025 Understanding the Unfairness in Network Quantization Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng

NeurIPS 2025 Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation Geng Chen, Pengfei Ren, Xufeng Jian, Haifeng Sun, Menghao Zhang, Qi Qi, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang

NeurIPS 2025 Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation Jing Wang, Wonho Bae, Jiahong Chen, Wenxu Wang, Junhyug Noh

CVPR 2025 WAVE: Weight Templates for Adaptive Initialization of Variable-Sized Models Fu Feng, Yucheng Xie, Jing Wang, Xin Geng

NeurIPS 2025 WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation Jing Wang, Ao Ma, Ke Cao, Jun Zheng, Jiasong Feng, Zhanjie Zhang, Wanyuan Pang, Xiaodan Liang

NeurIPS 2024 AFBench: A Large-Scale Benchmark for Airfoil Design Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang

AAAI 2024 Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement Jing Wang, Jiangyun Li, Chen Chen, Yisi Zhang, Haoran Shen, Tianxiang Zhang

UAI 2024 AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop Jing Wang, Yunfei Teng, Anna Choromanska

NeurIPS 2024 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, Xin Geng

IJCAI 2024 Contrastive and View-Interaction Structure Learning for Multi-View Clustering Jing Wang, Songhe Feng

WACV 2024 Dynamic Token-Pass Transformers for Semantic Segmentation Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang

IJCAI 2024 Exploiting Multi-Label Correlation in Label Distribution Learning Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng

ECCV 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae, Jing Wang, Danica J. Sutherland

WACV 2024 FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Yuanxiu Cai, Shanshan Song, Jiangyun Li

ICML 2024 Handling Heterogeneous Curvatures in Bandit LQR Control Yu-Hu Yan, Jing Wang, Peng Zhao

ICML 2024 Learning with Adaptive Resource Allocation Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou

ICLR 2024 Neural Rate Control for Learned Video Compression Yiwei Zhang, Guo Lu, Yunuo Chen, Shen Wang, Yibo Shi, Jing Wang, Li Song

AAAI 2024 SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan

NeurIPS 2024 Scale-Invariant Optimal Sampling for Rare-Events Data and Sparse Models Jing Wang, HaiYing Wang, Hao Helen Zhang

TMLR 2024 What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation Within Neighborhood Context Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva

TMLR 2023 Cross-Validation for Geospatial Data: Estimating Generalization Performance in Geostatistical Problems Jing Wang, Laurel Hopkins, Tyler Hallman, W. Douglas Robinson, Rebecca Hutchinson

AAAI 2023 Imbalanced Label Distribution Learning Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

NeurIPSW 2023 Model Evaluation for Geospatial Problems Jing Wang, Tyler Hallman, Laurel Hopkins, John Burns Kilbride, W. Douglas Robinson, Rebecca Hutchinson

AISTATS 2023 Revisiting Weighted Strategy for Non-Stationary Parametric Bandits Jing Wang, Peng Zhao, Zhi-Hua Zhou

ICML 2023 Tight and Fast Generalization Error Bound of Graph Embedding in Metric Space Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi

AISTATS 2022 Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla, Jing Wang, Anna Choromanska

ECCV 2022 AlphaVC: High-Performance and Efficient Learned Video Compression Yibo Shi, Yunying Ge, Jing Wang, Jue Mao

ECCV 2022 Content-Oriented Learned Image Compression Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang

ECCV 2022 Detecting Tampered Scene Text in the Wild Yuxin Wang, Hongtao Xie, Mengting Xing, Jing Wang, Shenggao Zhu, Yongdong Zhang

MLJ 2022 Fast Spectral Analysis for Approximate Nearest Neighbor Search Jing Wang, Jie Shen

CVPRW 2022 MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion Jing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu

ECCV 2022 Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li

ICML 2022 Metric-Fair Active Learning Jie Shen, Nan Cui, Jing Wang

CVPRW 2022 NTIRE 2022 Challenge on Perceptual Image Quality Assessment Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari

TMLR 2022 Uncertainty-Based Active Learning for Reading Comprehension Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold

CVPR 2021 Asymmetric Gained Deep Image Compression with Continuous Rate Adaptation Ze Cui, Jing Wang, Shangyin Gao, Tiansheng Guo, Yihui Feng, Bo Bai

ICCV 2021 From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network Yuxin Wang, Hongtao Xie, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang

NeurIPS 2021 Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza

ICML 2021 Generalization Error Bound for Hyperbolic Ordinal Embedding Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza

ICLRW 2021 Hierarchical Image Compression Framework Yunying Ge, Jing Wang, Yibo Shi, Shangyin Gao

CVPR 2021 Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship Jing Wang, Jinhui Tang, Mingkun Yang, Xiang Bai, Jiebo Luo

ICML 2021 Label Distribution Learning Machine Jing Wang, Xin Geng

IJCAI 2021 Learn the Highest Label and REST Label Description Degrees Jing Wang, Xin Geng

CVPR 2021 Learning to Filter: Siamese Relation Network for Robust Tracking Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang

IJCAI 2021 SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang

CVPR 2021 Scene Text Retrieval via Joint Text Detection and Similarity Learning Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu

IJCAI 2020 Discovering Latent Class Labels for Multi-Label Learning Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi

IJCAI 2020 GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao

ICLR 2020 Knowledge Consistency Between Neural Networks and Beyond Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang

AAAI 2020 Logo-2k+: A Large-Scale Logo Dataset for Scalable Logo Classification Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang

ECML-PKDD 2020 MMCNN: A Multi-Branch Multi-Scale Convolutional Neural Network for Motor Imagery Classification Ziyu Jia, Youfang Lin, Jing Wang, Kaixin Yang, Tianhang Liu, Xinwang Zhang

CVPRW 2020 Variable Rate Image Compression with Content Adaptive Optimization Tiansheng Guo, Jing Wang, Ze Cui, Yihui Feng, Yunying Ge, Bo Bai

IJCAI 2019 Attributed Subspace Clustering Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi

IJCAI 2019 Classification with Label Distribution Learning Jing Wang, Xin Geng

IJCAI 2019 Convolutional Auto-Encoding of Sentence Topics for Image Paragraph Generation Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei

ACML 2019 Hyperbolic Ordinal Embedding Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi

AAAI 2019 Orderly Subspace Clustering Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi

IJCAI 2019 SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier

AAAI 2019 Theoretical Analysis of Label Distribution Learning Jing Wang, Xin Geng

AAAI 2018 Curve-Structure Segmentation from Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang

IJCAI 2018 Power-Law Distribution Aware Trust Prediction Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang

ICML 2018 Provable Variable Selection for Streaming Features Jing Wang, Jie Shen, Ping Li

IJCAI 2018 Ranking Preserving Nonnegative Matrix Factorization Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi

AAAI 2018 Show, Reward and Tell: Automatic Generation of Narrative Paragraph from Photo Stream by Adversarial Training Jing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei

AAAI 2017 Community Preserving Network Embedding Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

IJCAI 2017 Multi-Component Nonnegative Matrix Factorization Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang

CVPR 2016 Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data Jing Wang, Yu Cheng, Rogerio Schmidt Feris

ICCV 2013 Fast Neighborhood Graph Search Using Cartesian Concatenation Jing Wang, Jingdong Wang, Gang Zeng, Rui Gan, Shipeng Li, Baining Guo

IJCAI 2013 Online Group Feature Selection Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu

CVPR 2012 Fast Approximate K-Means via Cluster Closures Jing Wang, Jingdong Wang, Qifa Ke, Gang Zeng, Shipeng Li

CVPR 2012 Scalable k-NN Graph Construction for Visual Descriptors Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li

AAAI 2010 GTPA: A Generative Model for Online Mentor-Apprentice Networks Muhammad Aurangzeb Ahmad, David A. Huffaker, Jing Wang, Jeffrey William Treem, Marshall Scott Poole, Jaideep Srivastava

NeurIPS 2006 MLLE: Modified Locally Linear Embedding Using Multiple Weights Zhenyue Zhang, Jing Wang

NeurIPS 2004 Adaptive Manifold Learning Jing Wang, Zhenyue Zhang, Hongyuan Zha

CVPR 2004 Hybrid Textons: Modeling Surfaces with Reflectance and Geometry Jing Wang, Kristin J. Dana

ICCV 2003 A Novel Approach for Texture Shape Recovery Jing Wang, Kristin J. Dana