Benjamin Sapp

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 28

Top Topics

Language Modeling

Motion Prediction

Grand Challenge

Autonomous Driving

Top Venues

Publications

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
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR (2023)
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. ICRA (2023)
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
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS (2023)
Chiyu "Max" Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. CVPR (2023)
Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. Trans. Mach. Learn. Res. 2023 (2023)
Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp
MotionLM: Multi-Agent Motion Forecasting as Language Modeling. ICCV (2023)
Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp
MotionLM: Multi-Agent Motion Forecasting as Language Modeling. CoRR (2023)
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS (2023)
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR (2022)
DiJia Andy Su, Bertrand Douillard, Rami Al-Rfou, Cheol Park, Benjamin Sapp
Narrowing the coordinate-frame gap in behavior prediction models: Distillation for efficient and accurate scene-centric motion forecasting. ICRA (2022)
DiJia Su, Bertrand Douillard, Rami Al-Rfou, Cheolho Park, Benjamin Sapp
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting. CoRR (2022)
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. ICRA (2022)
Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRR (2022)
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR (2022)
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. CoRR (2022)
Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRL (2022)
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. CoRR (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR (2021)
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
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR (2021)
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
Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA (2021)
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
TNT: Target-driven Trajectory Prediction. CoRL (2020)
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
TNT: Target-driveN Trajectory Prediction. CoRR (2020)
Joey Hong, Benjamin Sapp, James Philbin
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR (2019)
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR (2019)
Joey Hong, Benjamin Sapp, James Philbin
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR (2019)
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL (2019)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) (2016)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR (2015)
David J. Weiss, Benjamin Sapp, Ben Taskar
Dynamic Structured Model Selection. ICCV (2013)
Benjamin Sapp, Ben Taskar
MODEC: Multimodal Decomposable Models for Human Pose Estimation. CVPR (2013)
Adam J. Aviv, Benjamin Sapp, Matt Blaze, Jonathan M. Smith
Practicality of accelerometer side channels on smartphones. ACSAC (2012)
David J. Weiss, Benjamin Sapp, Ben Taskar
Structured Prediction Cascades CoRR (2012)
Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann
Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues. ICCV Workshops (2011)
Sara Miner More, Pavel Naumov, Benjamin Sapp
Concurrency Semantics for the Geiger-Paz-Pearl Axioms of Independence. CSL (2011)
Timothée Cour, Benjamin Sapp, Ben Taskar
Learning from Partial Labels. J. Mach. Learn. Res. 12 (2011)
Benjamin Sapp, David J. Weiss, Ben Taskar
Parsing human motion with stretchable models. CVPR (2011)
Evelyne Tzoukermann, Jan Neumann, Jana Kosecka, Cornelia Fermüller, Ian Perera, Frank Ferraro, Benjamin Sapp, Rizwan Chaudhry, Gautam Singh
Language Models for Semantic Extraction and Filtering in Video Action Recognition. Language-Action Tools for Cognitive Artificial Agents (2011)
Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar
Talking pictures: Temporal grouping and dialog-supervised person recognition. CVPR (2010)
Robert Kelvey, Sara Miner More, Pavel Naumov, Benjamin Sapp
Independence and Functional Dependence Relations on Secrets. KR (2010)
Benjamin Sapp, Alexander Toshev, Ben Taskar
Cascaded Models for Articulated Pose Estimation. ECCV (2) (2010)
David J. Weiss, Benjamin Sapp, Ben Taskar
Sidestepping Intractable Inference with Structured Ensemble Cascades. NIPS (2010)
Benjamin Sapp, Chris Jordan, Ben Taskar
Adaptive pose priors for pictorial structures. CVPR (2010)
Timothée Cour, Benjamin Sapp, Chris Jordan, Benjamin Taskar
Learning from ambiguously labeled images. CVPR (2009)
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
A Fast Data Collection and Augmentation Procedure for Object Recognition. AAAI (2008)
Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. IJCAI (2007)