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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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2020 – today
- 2020
[j36]Soujanya Chatterjee, Alexander Moreno, Steven Lloyd Lizotte, Sayma Akther, Emre Ertin, Christopher P. Fagundes, Cho Lam, James M. Rehg, Neng Wan, David W. Wetter, Santosh Kumar:
SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors. IMWUT 4(1): 4:1-4:26 (2020)- [j35]Varol Burak Aydemir
, Supriya Nagesh, Md. Mobashir Hasan Shandhi, Joanna Fan, Liviu Klein, Mozziyar Etemadi, James Alex Heller, Omer T. Inan, James M. Rehg:
Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography. IEEE Trans. Biomed. Engineering 67(5): 1303-1313 (2020) - [i34]Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Functional EM Algorithm for Panel Count Data with Missing Counts. CoRR abs/2003.01169 (2020) - [i33]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CoRR abs/2003.02501 (2020) - [i32]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020) - [i31]Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. CoRR abs/2004.08051 (2020)
2010 – 2019
- 2019
- [j34]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High-Speed Driving With a Deep Dynamic Observer. IEEE Robotics Autom. Lett. 4(2): 1564-1571 (2019) - [c151]Brandon M. Smith, Visesh Chari, Amit Agrawal, James M. Rehg, Ram Sever:
Towards Accurate 3D Human Body Reconstruction from Silhouettes. 3DV 2019: 279-288 - [c150]Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. CoRL 2019: 969-978 - [c149]Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. CVPR 2019: 461-470 - [c148]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CVPR 2019: 4581-4590 - [c147]Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg:
Unsupervised 3D Pose Estimation With Geometric Self-Supervision. CVPR 2019: 5714-5724 - [c146]Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg:
Incremental Object Learning From Contiguous Views. CVPR 2019: 8777-8786 - [c145]Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. MLHC 2019: 140-159 - [c144]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. NeurIPS 2019: 5026-5037 - [i30]Meera Hahn, Andrew Silva, James M. Rehg:
Action2Vec: A Crossmodal Embedding Approach to Action Learning. CoRR abs/1901.00484 (2019) - [i29]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. CoRR abs/1902.00607 (2019) - [i28]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) - [i27]Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, M. V. Rohith, Stefan Stojanov, James M. Rehg:
Unsupervised 3D Pose Estimation with Geometric Self-Supervision. CoRR abs/1904.04812 (2019) - [i26]Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. CoRR abs/1904.05475 (2019) - [i25]Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf:
Tripping through time: Efficient Localization of Activities in Videos. CoRR abs/1904.09936 (2019) - [i24]Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. CoRR abs/1905.05162 (2019) - [i23]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. CoRR abs/1906.04892 (2019) - [i22]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. CoRR abs/1910.13003 (2019) - [i21]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
- [j33]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Inferring Object Properties with a Tactile-Sensing Array Given Varying Joint Stiffness and Velocity. Int. J. Humanoid Robotics 15(1): 1750024:1-1750024:32 (2018) - [j32]Yun C. Zhang, James M. Rehg:
Watching the TV Watchers. IMWUT 2(2): 88:1-88:27 (2018) - [j31]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) - [c143]Brian Hrolenok, Tucker Balch, David Byrd, Rebecca Roberts, Chanho Kim, James M. Rehg, Scott Gilliland, Kim Wallen:
Use of position tracking to infer social structure in rhesus macaques. ACI 2018: 15:1-15:5 - [c142]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CVPR Workshops 2018: 2074-2083 - [c141]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CVPR 2018: 2771-2779 - [c140]Abhijit Kundu, Yin Li, James M. Rehg:
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. CVPR 2018: 3559-3568 - [c139]Chanho Kim, Fuxin Li, James M. Rehg:
Multi-object Tracking with Neural Gating Using Bilinear LSTM. ECCV (8) 2018: 208-224 - [c138]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 - [c137]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 - [c136]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 - [c135]Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. ICML 2018: 3147-3155 - [c134]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 - [c133]Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, Evangelos A. 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
- [j30]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) - [j29]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) - [j28]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 Comput. 16(2): 18-22 (2017) - [c132]Eunji Chong, Jaehoon Lee, Matthew K. Hong, James M. Rehg:
Scalable Image-based Search-and-Discovery. CHI Extended Abstracts 2017: 1539-1545 - [c131]Bradley M. Whitaker, Muhammed Rizwan, Varol Burak Aydemir, James M. Rehg, David V. Anderson:
AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding. CinC 2017 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [c125]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]Weiyang Liu, Bo Dai, James M. Rehg, Le Song:
Iterative Machine Teaching. CoRR abs/1705.10470 (2017) - [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
- [c124]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 - [c123]Jimeng Sun, Jim Rehg, Suchi Saria, Hua Xu, Eric P. Xing:
Advanced Machine Learning for Healthcare. CRI 2016 - [c122]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CVPR 2016: 1619-1627 - [c121]Andreas Bulling, Ozan Cakmakci, Kai Kunze, James M. Rehg:
EyeWear 2016: first workshop on eyeWear computing. UbiComp Adjunct 2016: 1746-1750 - [c120]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 - [c119]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
- [j27]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). J. Am. Medical Informatics Assoc. 22(6): 1137-1142 (2015) - [j26]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) - [c118]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 - [c117]Yin Li, Zhefan Ye, James M. Rehg:
Delving into egocentric actions. CVPR 2015: 287-295 - [c116]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 - [c115]Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg:
Robust video segment proposals with painless occlusion handling. CVPR 2015: 4194-4203 - [c114]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 - [c113]James M. Rehg:
Behavioral imaging technology for modeling, analyzing, and visualizing social and communicative behavior. UbiComp/ISWC Adjunct 2015: 909-910 - [c112]Ahmad Humayun, Fuxin Li, James M. Rehg:
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. ICCV 2015: 1600-1608 - [c111]Arridhana Ciptadi, James M. Rehg:
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters. ICCV 2015: 4382-4390 - [c110]Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg:
Multiple Hypothesis Tracking Revisited. ICCV 2015: 4696-4704 - [c109]Paolo Rota, Nicola Conci, Nicu Sebe, James M. Rehg:
Real-life violent social interaction detection. ICIP 2015: 3456-3460 - [c108]Florian Hauer, Abhijit Kundu, James M. Rehg, Panagiotis Tsiotras:
Multi-scale perception and path planning on probabilistic obstacle maps. ICRA 2015: 4210-4215 - [c107]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 - [c106]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 Comput. 13(2): 84-87 (2014) - [c105]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CVPR 2014: 280-287 - [c104]Ahmad Humayun, Fuxin Li, James M. Rehg:
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions. CVPR 2014: 336-343 - [c103]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 - [c102]Arridhana Ciptadi, Matthew S. Goodwin, James M. Rehg:
Movement Pattern Histogram for Action Recognition and Retrieval. ECCV (2) 2014: 695-710 - [c101]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 - [c100]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 - [c99]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]James M. Rehg:
Finding people in depth: technical perspective. Commun. ACM 56(1): 115 (2013) - [j23]Jianxin Wu, Nini Liu, Christopher Geyer, James M. Rehg:
${\rm C}^{4}$: A Real-Time Object Detection Framework. IEEE Trans. Image Process. 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) - [c98]Arridhana Ciptadi, Tucker Hermans, James M. Rehg:
An In Depth View of Saliency. BMVC 2013 - [c97]Alireza Fathi, James M. Rehg:
Modeling Actions through State Changes. CVPR 2013: 2579-2586 - [c96]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 - [c95]Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, James M. Rehg:
Video Segmentation by Tracking Many Figure-Ground Segments. ICCV 2013: 2192-2199 - [c94]Yin Li, Alireza Fathi, James M. Rehg:
Learning to Predict Gaze in Egocentric Video. ICCV 2013: 3216-3223 - [c93]Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh:
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV 2013: 3376-3383 - [c92]Tucker Hermans, Fuxin Li, James M. Rehg, Aaron F. Bobick:
Learning stable pushing locations. ICDL-EPIROB 2013: 1-7 - [c91]James M. Rehg:
Behavior imaging and the study of autism. ICMI 2013: 1-2 - [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 S. Schuman, James M. Rehg:
Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model. MICCAI (2) 2013: 444-451 - [e5]