Benjamin Sapp - RankMe

49 papers A* 17A 2B 1Misc 3Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EMMA: End-to-End Multimodal Model for Autonomous Driving. Trans. Mach. Learn. Res. Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Scaling Laws of Motion Forecasting and Planning - A Technical Report. CoRR Mustafa Baniodeh, Kratarth Goel, Scott Ettinger, Carlos Fuertes, Ari Seff, Tim Shen, Cole Gulino, Chenjie Yang, Ghassen Jerfel, Dokook Choe, Rui Wang, Vinutha Kallem, Sergio Casas, Rami Al-Rfou, Benjamin Sapp, Dragomir Anguelov
2024	J	`jnl`	EMMA: End-to-End Multimodal Model for Autonomous Driving. CoRR Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, James Guo, Dragomir Anguelov, Mingxing Tan
2023	A	`conf`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2023	A*	`conf`	MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. CVPR Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	MotionLM: Multi-Agent Motion Forecasting as Language Modeling. ICCV Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp
2023	J	`jnl`	MotionLM: Multi-Agent Motion Forecasting as Language Modeling. CoRR Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp
2023	J	`jnl`	VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. Trans. Mach. Learn. Res. Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp
2023	A*	`conf`	Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. ICRA Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp
2023	A*	`conf`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2023	J	`jnl`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2022	J	`jnl`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2022	Misc	`conf`	JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRL Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
2022	J	`jnl`	JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRR Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
2022	A*	`conf`	MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. ICRA Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
2022	J	`jnl`	Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting. CoRR DiJia Su, Bertrand Douillard, Rami Al-Rfou, Cheolho Park, Benjamin Sapp
2022	A*	`conf`	Narrowing the coordinate-frame gap in behavior prediction models: Distillation for efficient and accurate scene-centric motion forecasting. ICRA DiJia Andy Su, Bertrand Douillard, Rami Al-Rfou, Cheol Park, Benjamin Sapp
2022	J	`jnl`	Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov
2022	J	`jnl`	Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. CoRR Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp
2021	A*	`conf`	Identifying Driver Interactions via Conditional Behavior Prediction. ICRA Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
2021	J	`jnl`	Identifying Driver Interactions via Conditional Behavior Prediction. CoRR Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
2021	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021	J	`jnl`	MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. CoRR Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
2021	J	`jnl`	Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens
2020	J	`jnl`	TNT: Target-driveN Trajectory Prediction. CoRR Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2020	Misc	`conf`	TNT: Target-driven Trajectory Prediction. CoRL Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2019	Misc	`conf`	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019	J	`jnl`	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019	A*	`conf`	Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR Joey Hong, Benjamin Sapp, James Philbin
2019	J	`jnl`	Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR Joey Hong, Benjamin Sapp, James Philbin
2016	—	`conf`	The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2015	J	`jnl`	The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2013	A*	`conf`	Dynamic Structured Model Selection. ICCV David J. Weiss, Benjamin Sapp, Ben Taskar
2013	A*	`conf`	MODEC: Multimodal Decomposable Models for Human Pose Estimation. CVPR Benjamin Sapp, Ben Taskar
2012	A	`conf`	Practicality of accelerometer side channels on smartphones. ACSAC Adam J. Aviv, Benjamin Sapp, Matt Blaze, Jonathan M. Smith
2012	J	`jnl`	Structured Prediction Cascades CoRR David J. Weiss, Benjamin Sapp, Ben Taskar
2011	B	`conf`	Concurrency Semantics for the Geiger-Paz-Pearl Axioms of Independence. CSL Sara Miner More, Pavel Naumov, Benjamin Sapp
2011	—	`conf`	Language Models for Semantic Extraction and Filtering in Video Action Recognition. Language-Action Tools for Cognitive Artificial Agents Evelyne Tzoukermann, Jan Neumann, Jana Kosecka, Cornelia Fermüller, Ian Perera, Frank Ferraro, Benjamin Sapp, Rizwan Chaudhry, Gautam Singh
2011	J	`jnl`	Learning from Partial Labels. J. Mach. Learn. Res. Timothée Cour, Benjamin Sapp, Ben Taskar
2011	A*	`conf`	Parsing human motion with stretchable models. CVPR Benjamin Sapp, David J. Weiss, Ben Taskar
2011	—	`conf`	Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues. ICCV Workshops Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann
2010	A*	`conf`	Adaptive pose priors for pictorial structures. CVPR Benjamin Sapp, Chris Jordan, Ben Taskar
2010	—	`conf`	Cascaded Models for Articulated Pose Estimation. ECCV (2) Benjamin Sapp, Alexander Toshev, Ben Taskar
2010	A*	`conf`	Independence and Functional Dependence Relations on Secrets. KR Robert Kelvey, Sara Miner More, Pavel Naumov, Benjamin Sapp
2010	—	`conf`	Sidestepping Intractable Inference with Structured Ensemble Cascades. NIPS David J. Weiss, Benjamin Sapp, Ben Taskar
2010	A*	`conf`	Talking pictures: Temporal grouping and dialog-supervised person recognition. CVPR Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar
2009	A*	`conf`	Learning from ambiguously labeled images. CVPR Timothée Cour, Benjamin Sapp, Chris Jordan, Benjamin Taskar
2008	A*	`conf`	A Fast Data Collection and Augmentation Procedure for Object Recognition. AAAI Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
2007	A*	`conf`	Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. IJCAI Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng