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Semantic ScholarJames M. Rehg
James Matthew Rehg – Jim Rehg
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- affiliation: Georgia Institute of Technology, Atlanta, USA
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2010 – today
- 2019
[i21]Meera Hahn, Andrew Silva, James M. Rehg:
Action2Vec: A Crossmodal Embedding Approach to Action Learning. CoRR abs/1901.00484 (2019)- 2018
- [j32]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Inferring Object Properties with a Tactile-Sensing Array Given Varying Joint Stiffness and Velocity. I. J. Humanoid Robotics 15(1): 1-32 (2018) - [j31]
- [j30]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. IEEE Trans. Robotics 34(6): 1603-1622 (2018) - [c141]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CVPR Workshops 2018: 2074-2083 - [c140]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CVPR 2018: 2771-2779 - [c139]Abhijit Kundu, Yin Li, James M. Rehg:
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. CVPR 2018: 3559-3568 - [c138]Chanho Kim, Fuxin Li, James M. Rehg:
Multi-object Tracking with Neural Gating Using Bilinear LSTM. ECCV (8) 2018: 208-224 - [c137]Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. ECCV (5) 2018: 397-412 - [c136]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 - [c135]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 - [c134]Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. ICML 2018: 3147-3155 - [c133]Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou:
Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles. ICRA 2018: 2403-2410 - [c132]Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, Evangelos Theodorou:
Robust Sampling Based Model Predictive Control with Sparse Objective Information. Robotics: Science and Systems 2018 - [i20]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) - [i19]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CoRR abs/1804.08071 (2018) - [i18]Brian Goldfain, Paul Drews, Changxi You, Matthew Barulic, Orlin Velev, Panagiotis Tsiotras, James M. Rehg:
AutoRally An open platform for aggressive autonomous driving. CoRR abs/1806.00678 (2018) - [i17]Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. CoRR abs/1807.10437 (2018) - [i16]Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg:
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. CoRR abs/1809.08381 (2018) - [i15]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High Speed Driving with a Deep Dynamic Observer. CoRR abs/1812.02071 (2018) - [i14]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CoRR abs/1812.06861 (2018) - 2017
- [j29]Kunfeng Wang, Chao Gou, Nanning Zheng, James M. Rehg, Fei-Yue Wang:
Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives. Artif. Intell. Rev. 48(3): 299-329 (2017) - [j28]Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment. IMWUT 1(3): 43:1-43:20 (2017) - [j27]Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, Duen Horng Chau, Emre Ertin, Deborah Estrin, Deepak Ganesan, Timothy Hnat, Syed Monowar Hossain, Zachary G. Ives, Jacqueline Kerr, Benjamin M. Marlin, Susan A. Murphy, James M. Rehg, Inbal Nahum-Shani, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter:
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). IEEE Pervasive Computing 16(2): 18-22 (2017) - [c131]Eunji Chong, Jaehoon Lee, Matthew K. Hong, James M. Rehg:
Scalable Image-based Search-and-Discovery. CHI Extended Abstracts 2017: 1539-1545 - [c130]Bradley M. Whitaker, Muhammed Rizwan, Burak Aydemir, James M. Rehg, David V. Anderson:
AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding. CinC 2017 - [c129]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. CoRL 2017: 133-142 - [c128]Eunji Chong, Audrey Southerland, Abhijit Kundu, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Visual 3D tracking of child-adult social interactions. ICDL-EPIROB 2017: 399-406 - [c127]Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg:
iSurvive: An Interpretable, Event-time Prediction Model for mHealth. ICML 2017: 970-979 - [c126]Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song:
Iterative Machine Teaching. ICML 2017: 2149-2158 - [c125]Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou:
Information theoretic MPC for model-based reinforcement learning. ICRA 2017: 1714-1721 - [c124]Yun C. Zhang, Yin Li, James M. Rehg:
First-Person Action Decomposition and Zero-Shot Learning. WACV 2017: 121-129 - [p6]Santosh Kumar, James M. Rehg, Susan A. Murphy:
Introduction to Part I: mHealth Applications and Tools. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 3-6 - [p5]Santosh Kumar, James M. Rehg, Susan A. Murphy:
Introduction to Part II: Sensors to mHealth Markers. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 147-150 - [p4]James M. Rehg, Susan A. Murphy, Santosh Kumar:
Introduction to Part III: Markers to mHealth Predictors. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 345-348 - [p3]Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Learning Continuous-Time Hidden Markov Models for Event Data. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 361-387 - [p2]Susan A. Murphy, James M. Rehg, Santosh Kumar:
Introduction to Part IV: Predictors to mHealth Interventions. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 437-441 - [p1]Wendy Nilsen, Emre Ertin, Eric B. Hekler, Santosh Kumar, Insup Lee, Rahul Mangharam, Misha Pavel, James M. Rehg, William T. Riley, Daniel E. Rivera, Donna Spruijt-Metz:
Modeling Opportunities in mHealth Cyber-Physical Systems. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 443-453 - [e6]James M. Rehg, Susan A. Murphy, Santosh Kumar:
Mobile Health - Sensors, Analytic Methods, and Applications. Springer 2017, ISBN 978-3-319-51393-5 [contents] - [i13]
- [i12]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. CoRR abs/1707.02342 (2017) - [i11]Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou:
Autonomous Racing with AutoRally Vehicles and Differential Games. CoRR abs/1707.04540 (2017) - [i10]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model. CoRR abs/1707.05303 (2017) - [i9]Eunji Chong, Christian Nitschke, Atsushi Nakazawa, Agata Rozga, James M. Rehg:
Noninvasive Corneal Image-Based Gaze Measurement System. CoRR abs/1708.00908 (2017) - [i8]Nataniel Ruiz, James M. Rehg:
Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container. CoRR abs/1708.04370 (2017) - [i7]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CoRR abs/1710.00925 (2017) - [i6]Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. CoRR abs/1710.07742 (2017) - 2016
- [c123]Maithilee Kunda, Mohamed El Banani, James M. Rehg:
A Computational Exploration of Problem-Solving Strategies and Gaze Behaviors on the Block Design Task. CogSci 2016 - [c122]Jimeng Sun, Jim Rehg, Suchi Saria, Hua Xu, Eric Xing:
Advanced Machine Learning for Healthcare. CRI 2016 - [c121]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CVPR 2016: 1619-1627 - [c120]Andreas Bulling, Ozan Cakmakci, Kai Kunze, James M. Rehg:
EyeWear 2016: first workshop on eyeWear computing. UbiComp Adjunct 2016: 1746-1750 - [c119]Elizabeth M. Clerkin, Elizabeth Hart, James M. Rehg, Chen Yu, Linda B. Smith:
How everyday visual experience prepares the way for learning object names. ICDL-EPIROB 2016: 126-131 - [c118]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Aggressive driving with model predictive path integral control. ICRA 2016: 1433-1440 - [i5]Andreas Bulling, Ozan Cakmakci, Kai Kunze, James M. Rehg:
Eyewear Computing - Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042). Dagstuhl Reports 6(1): 160-206 (2016) - 2015
- [j26]Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter:
Center of excellence for mobile sensor data-to-knowledge (MD2K). JAMIA 22(6): 1137-1142 (2015) - [c117]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 - [c116]
- [c115]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 - [c114]Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg:
Robust video segment proposals with painless occlusion handling. CVPR 2015: 4194-4203 - [c113]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 - [c112]James M. Rehg:
Behavioral imaging technology for modeling, analyzing, and visualizing social and communicative behavior. UbiComp/ISWC Adjunct 2015: 909-910 - [c111]Ahmad Humayun, Fuxin Li, James M. Rehg:
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. ICCV 2015: 1600-1608 - [c110]Arridhana Ciptadi, James M. Rehg:
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters. ICCV 2015: 4382-4390 - [c109]Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg:
Multiple Hypothesis Tracking Revisited. ICCV 2015: 4696-4704 - [c108]Paolo Rota, Nicola Conci, Nicu Sebe, James M. Rehg:
Real-life violent social interaction detection. ICIP 2015: 3456-3460 - [c107]Florian Hauer, Abhijit Kundu, James M. Rehg, Panagiotis Tsiotras:
Multi-scale perception and path planning on probabilistic obstacle maps. ICRA 2015: 4210-4215 - [c106]Tapomayukh Bhattacharjee, Ashwin A. Shenoi, Daehyung Park, James M. Rehg, Charles C. Kemp:
Combining tactile sensing and vision for rapid haptic mapping. IROS 2015: 1200-1207 - [c105]Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression. NIPS 2015: 3600-3608 - [i4]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CoRR abs/1511.04166 (2015) - 2014
- [j25]James M. Rehg, Agata Rozga, Gregory D. Abowd, Matthew S. Goodwin:
Behavioral Imaging and Autism. IEEE Pervasive Computing 13(2): 84-87 (2014) - [c104]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CVPR 2014: 280-287 - [c103]Ahmad Humayun, Fuxin Li, James M. Rehg:
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions. CVPR 2014: 336-343 - [c102]Thomas Brox, Fabio Galasso, Fuxin Li, James Matthew Rehg, Bernt Schiele:
First International Workshop on Video Segmentation - Panel Discussion. ECCV Workshops (4) 2014: 383-388 - [c101]Arridhana Ciptadi, Matthew S. Goodwin, James M. Rehg:
Movement Pattern Histogram for Action Recognition and Retrieval. ECCV (2) 2014: 695-710 - [c100]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 - [c99]Daehyung Park, Ariel Kapusta, You Keun Kim, James M. Rehg, Charles C. Kemp:
Learning to reach into the unknown: Selecting initial conditions when reaching in clutter. IROS 2014: 630-637 - [c98]Javier Hernandez, Yin Li, James M. Rehg, Rosalind W. Picard:
BioGlass: Physiological parameter estimation using a head-mounted wearable device. MobiHealth 2014: 55-58 - [i3]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CoRR abs/1406.2807 (2014) - [i2]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Inferring Object Properties from Incidental Contact with a Tactile Sensing Forearm. CoRR abs/1409.4972 (2014) - 2013
- [j24]
- [j23]Jianxin Wu, Nini Liu, Christopher Geyer, James M. Rehg:
${\rm C}^{4}$: A Real-Time Object Detection Framework. IEEE Trans. Image Processing 22(10): 4096-4107 (2013) - [j22]Yushi Jing, Michele Covell, David Tsai, James M. Rehg:
Learning Query-Specific Distance Functions for Large-Scale Web Image Search. IEEE Trans. Multimedia 15(8): 2022-2034 (2013) - [j21]Matthew Flagg, James M. Rehg:
Video-Based Crowd Synthesis. IEEE Trans. Vis. Comput. Graph. 19(11): 1935-1947 (2013) - [c97]
- [c96]
- [c95]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 - [c94]Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, James M. Rehg:
Video Segmentation by Tracking Many Figure-Ground Segments. ICCV 2013: 2192-2199 - [c93]Yin Li, Alireza Fathi, James M. Rehg:
Learning to Predict Gaze in Egocentric Video. ICCV 2013: 3216-3223 - [c92]Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh:
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV 2013: 3376-3383 - [c91]
- [c90]Tucker Hermans, James M. Rehg, Aaron F. Bobick:
Decoupling behavior, perception, and control for autonomous learning of affordances. ICRA 2013: 4989-4996 - [c89]Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel Schuman, James M. Rehg:
Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model. MICCAI (2) 2013: 444-451 - [e5]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I. Lecture Notes in Computer Science 7724, Springer 2013, ISBN 978-3-642-37330-5 [contents] - [e4]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012, 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II. Lecture Notes in Computer Science 7725, Springer 2013, ISBN 978-3-642-37443-2 [contents] - [e3]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III. Lecture Notes in Computer Science 7726, Springer 2013, ISBN 978-3-642-37430-2 [contents] - [e2]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012, 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 7727, Springer 2013, ISBN 978-3-642-37446-3 [contents] - [i1]Atsushi Nakazawa, James M. Rehg, Yoichi Sato, Akihiro Sugimoto:
First International Symposium on Computer Behavioral Science (NII Shonan Meeting 2013-9). NII Shonan Meet. Rep. 2013 (2013) - 2012
- [j20]David Tsai, Matthew Flagg, Atsushi Nakazawa, James M. Rehg:
Motion Coherent Tracking Using Multi-label MRF Optimization. International Journal of Computer Vision 100(2): 190-202 (2012) - [c88]Alireza Fathi, Jessica K. Hodgins, James M. Rehg:
Social interactions: A first-person perspective. CVPR 2012: 1226-1233 - [c87]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 - [c86]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c85]Alireza Fathi, Yin Li, James M. Rehg:
Learning to Recognize Daily Actions Using Gaze. ECCV (1) 2012: 314-327 - [c84]
- [c83]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 - [c82]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Haptic classification and recognition of objects using a tactile sensing forearm. IROS 2012: 4090-4097 - [c81]Tucker Hermans, James M. Rehg, Aaron F. Bobick:
Guided pushing for object singulation. IROS 2012: 4783-4790 - [c80]Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel Schuman, James M. Rehg:
Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction. MICCAI (1) 2012: 307-314 - 2011
- [j19]Jianxin Wu, Wei-Chian Tan, James M. Rehg:
Efficient and Effective Visual Codebook Generation Using Additive Kernels. Journal of Machine Learning Research 12: 3097-3118 (2011) - [j18]Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, James M. Rehg:
Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding. Medical Image Analysis 15(5): 748-759 (2011) - [j17]Jianxin Wu, James M. Rehg:
CENTRIST: A Visual Descriptor for Scene Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1489-1501 (2011) - [c79]Alireza Fathi, Maria-Florina Balcan, Xiaofeng Ren, James M. Rehg:
Combining Self Training and Active Learning for Video Segmentation. BMVC 2011: 1-11 - [c78]Alireza Fathi, Xiaofeng Ren, James M. Rehg:
Learning to recognize objects in egocentric activities. CVPR 2011: 3281-3288 - [c77]
- [c76]David Tsai, Yushi Jing, Yi Liu, Henry A. Rowley, Sergey Ioffe, James M. Rehg:
Large-scale image annotation using visual synset. ICCV 2011: 611-618 - [c75]Jianxin Wu, Christopher Geyer, James M. Rehg:
Real-time human detection using contour cues. ICRA 2011: 860-867 - [c74]
- 2010
- [j16]Jie Sun, Joshua L. Moore, Aaron F. Bobick, James M. Rehg:
Learning Visual Object Categories for Robot Affordance Prediction. I. J. Robotics Res. 29(2-3): 174-197 (2010) - [c73]David Tsai, Matthew Flagg, James M. Rehg:
Motion Coherent Tracking with Multi-label MRF optimization. BMVC 2010: 1-11 - [c72]Karthir Prabhakar, Sang Min Oh, Ping Wang, Gregory D. Abowd, James M. Rehg:
Temporal causality for the analysis of visual events. CVPR 2010: 1967-1974 - [c71]Martin J. Schuster, Jason Okerman, Hai Nguyen, James M. Rehg, Charles C. Kemp:
Perceiving clutter and surfaces for object placement in indoor environments. Humanoids 2010: 152-159 - [c70]Howard Zhou, James M. Rehg, Mei Chen:
Exemplar-based segmentation of pigmented skin lesions from dermoscopy images. ISBI 2010: 225-228 - [c69]