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ORCIDJames M. Rehg
James Matthew Rehg – Jim Rehg
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- affiliation: Georgia Institute of Technology, Atlanta, USA
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2020 – today
- 2022
[i50]Wenqi Jia, Miao Liu, James M. Rehg:
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. CoRR abs/2203.11305 (2022)- [i49]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues. CoRR abs/2204.10235 (2022) - 2021
- [c166]Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg:
3D Reconstruction of Novel Object Shapes from Single Images. 3DV 2021: 85-95 - [c165]Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang:
4D Human Body Capture from Egocentric Video via 3D Scene Grounding. 3DV 2021: 930-939 - [c164]Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias. CVPR 2021: 1798-1808 - [c163]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c162]Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg:
Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking. CVPR 2021: 9553-9562 - [c161]Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. ICRA 2021: 10793-10799 - [c160]Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta:
No RL, No Simulation: Learning to Navigate without Navigating. NeurIPS 2021: 26661-26673 - [i48]Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg:
Does Continual Learning = Catastrophic Forgetting? CoRR abs/2101.07295 (2021) - [i47]Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias. CoRR abs/2101.07296 (2021) - [i46]Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg:
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking. CoRR abs/2101.12159 (2021) - [i45]Shivam Khare, Kun Cao, James M. Rehg:
Unsupervised Class-Incremental Learning Through Confusion. CoRR abs/2104.04450 (2021) - [i44]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) - [i43]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i42]Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta:
No RL, No Simulation: Learning to Navigate without Navigating. CoRR abs/2110.09470 (2021) - [i41]Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg:
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. CoRR abs/2110.13998 (2021) - [i40]Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg:
Transformers for prompt-level EMA non-response prediction. CoRR abs/2111.01193 (2021) - [i39]Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg:
Kernel Deformed Exponential Families for Sparse Continuous Attention. CoRR abs/2111.01222 (2021) - 2020
- [j39]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. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 4:1-4:26 (2020) - [j38]Yun C. Zhang, Shibo Zhang, Miao Liu, Elyse Daly, Samuel Battalio, Santosh Kumar, Bonnie Spring, James M. Rehg, Nabil Alshurafa:
SyncWISE: Window Induced Shift Estimation for Synchronization of Video and Accelerometry from Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 107:1-107:26 (2020) - [j37]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. Eng. 67(5): 1303-1313 (2020) - [j36]Beren Semiz, Sinan Hersek, Maziyar Baran Pouyan, Cynthia Partida, Leticia Blazquez-Arroyo, Van Selby, Georg Wieselthaler, James M. Rehg, Liviu Klein, Omer T. Inan:
Detecting Suspected Pump Thrombosis in Left Ventricular Assist Devices via Acoustic Analysis. IEEE J. Biomed. Health Informatics 24(7): 1899-1906 (2020) - [c159]Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf:
Tripping through time: Efficient Localization of Activities in Videos. BMVC 2020 - [c158]Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg:
Attention Distillation for Learning Video Representations. BMVC 2020 - [c157]Seunghwan Cha, James Ainooson, Eunji Chong, Isabelle Soulières, James M. Rehg, Maithilee Kunda:
Enhancing Cognitive Assessment through Multimodal Sensing: A Case Study Using the Block Design Test. CogSci 2020 - [c156]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CVPR 2020: 5395-5405 - [c155]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR 2020: 6916-6925 - [c154]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 - [c153]Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson:
Where Are You? Localization from Embodied Dialog. EMNLP (1) 2020: 806-822 - [c152]Alexander Moreno, Zhenke Wu, Jamie Yap, Cho Lam, David W. Wetter, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Robust Functional EM Algorithm for Incomplete Panel Count Data. NeurIPS 2020 - [i38]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) - [i37]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CoRR abs/2003.02501 (2020) - [i36]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020) - [i35]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) - [i34]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) - [i33]Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg:
3D Reconstruction of Novel Object Shapes from Single Images. CoRR abs/2006.07752 (2020) - [i32]Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson:
Where Are You? Localization from Embodied Dialog. CoRR abs/2011.08277 (2020) - [i31]Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang:
4D Human Body Capture from Egocentric Video via 3D Scene Grounding. CoRR abs/2011.13341 (2020)
2010 – 2019
- 2019
- [j35]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
- [j34]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) - [j33]Yun C. Zhang, James M. Rehg:
Watching the TV Watchers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 88:1-88:27 (2018) - [j32]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
- [j31]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) - [j30]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. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 43:1-43:20 (2017) - [j29]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, Muhammad 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
- [j28]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) - [j27]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,