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Driver-centric Risk Object Identification


Jun 24, 2021
Chengxi Li, Stanley H. Chan, Yi-Ting Chen

* Submitted to TPAMI 

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CARLS: Cross-platform Asynchronous Representation Learning System


May 26, 2021
Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins


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Multimodal Object Detection via Bayesian Fusion


Apr 07, 2021
Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan

* https://mscvprojects.ri.cmu.edu/2020teamc 

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Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision


Feb 11, 2021
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig


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Unsupervised Domain Adaptation for Spatio-Temporal Action Localization


Oct 19, 2020
Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang

* Accepted in BMVC 2020 

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Uncertainty-aware Self-supervised 3D Data Association


Aug 18, 2020
Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held

* 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems 

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Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference


Mar 05, 2020
Chengxi Li, Stanley H. Chan, Yi-Ting Chen


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Grounding Human-to-Vehicle Advice for Self-driving Vehicles


Nov 16, 2019
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny

* IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019 

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Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks


Sep 23, 2019
Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen


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The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes


Mar 04, 2019
Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen

* IEEE International Conference on Robotics and Automation (ICRA), 2019 
* The dataset is available at https://usa.honda-ri.com/H3D 

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Graph-RISE: Graph-Regularized Image Semantic Embedding


Feb 14, 2019
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi

* 9 pages, 7 figures 

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Unsupervised Data Uncertainty Learning in Visual Retrieval Systems


Feb 07, 2019
Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis


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In Defense of the Triplet Loss for Visual Recognition


Jan 24, 2019
Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Larry Davis


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Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems


Jan 23, 2019
Ahmed Taha, Yi-Ting Chen, Xitong Yang, Teruhisa Misu, Larry Davis


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Temporal Recurrent Networks for Online Action Detection


Nov 18, 2018
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall


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Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning


Nov 06, 2018
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko

* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 7699-7707 
* The dataset is available at https://usa.honda-ri.com/hdd 

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Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection


Jul 02, 2018
Athma Narayanan, Yi-Ting Chen, Srikanth Malla


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Two Stream Self-Supervised Learning for Action Recognition


Jun 16, 2018
Ahmed Taha, Moustafa Meshry, Xitong Yang, Yi-Ting Chen, Larry Davis


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