Benjamin Sapp

According to our database, Benjamin Sapp authored at least 39 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons.

Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp

Trans. Mach. Learn. Res., 2023

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.

Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine

IROS, 2023

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MotionLM: Multi-Agent Motion Forecasting as Language Modeling.

Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion.

Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Occupancy Flow Fields for Motion Forecasting in Autonomous Driving.

Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, Dragomir Anguelov

IEEE Robotics Autom. Lett., 2022

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving.

Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov

CoRR, 2022

CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships.

Rebecca Roelofs, Liting Sun, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai

CoRR, 2022

Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting.

DiJia Su, Bertrand Douillard, Rami Al-Rfou, Cheolho Park, Benjamin Sapp

CoRR, 2022

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction.

Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Narrowing the coordinate-frame gap in behavior prediction models: Distillation for efficient and accurate scene-centric motion forecasting.

DiJia Andy Su, Bertrand Douillard, Rami Al-Rfou, Cheol Park, Benjamin Sapp

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving.

Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents.

Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J. Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens

Proceedings of the Tenth International Conference on Learning Representations, 2022

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving.

Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov

Proceedings of the Conference on Robot Learning, 2022

2021

Scene Transformer: A unified multi-task model for behavior prediction and planning.

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

CoRR, 2021

Identifying Driver Interactions via Conditional Behavior Prediction.

Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.

Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

TNT: Target-driven Trajectory Prediction.

Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions.

Joey Hong, Benjamin Sapp, James Philbin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2016

The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.

Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

2013

Dynamic Structured Model Selection.

David J. Weiss, Benjamin Sapp, Ben Taskar

Proceedings of the IEEE International Conference on Computer Vision, 2013

MODEC: Multimodal Decomposable Models for Human Pose Estimation.

Benjamin Sapp, Ben Taskar

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Structured Prediction Cascades

David J. Weiss, Benjamin Sapp, Ben Taskar

CoRR, 2012

Practicality of accelerometer side channels on smartphones.

Adam J. Aviv, Benjamin Sapp, Matt Blaze, Jonathan M. Smith

Proceedings of the 28th Annual Computer Security Applications Conference, 2012

2011

Learning from Partial Labels.

Timothée Cour, Benjamin Sapp, Ben Taskar

J. Mach. Learn. Res., 2011

Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues.

Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Parsing human motion with stretchable models.

Benjamin Sapp, David J. Weiss, Ben Taskar

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Concurrency Semantics for the Geiger-Paz-Pearl Axioms of Independence.

Sara Miner More, Pavel Naumov, Benjamin Sapp

Proceedings of the Computer Science Logic, 2011

Language Models for Semantic Extraction and Filtering in Video Action Recognition.

Evelyne Tzoukermann, Jan Neumann, Jana Kosecka, Cornelia Fermüller, Ian Perera, Frank Ferraro, Benjamin Sapp, Rizwan Chaudhry, Gautam Singh

Proceedings of the Language-Action Tools for Cognitive Artificial Agents, 2011

2010

Sidestepping Intractable Inference with Structured Ensemble Cascades.

David J. Weiss, Benjamin Sapp, Ben Taskar

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Independence and Functional Dependence Relations on Secrets.

Robert Kelvey, Sara Miner More, Pavel Naumov, Benjamin Sapp

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010

Cascaded Models for Articulated Pose Estimation.

Benjamin Sapp, Alexander Toshev, Ben Taskar

Proceedings of the Computer Vision, 2010

Adaptive pose priors for pictorial structures.

Benjamin Sapp, Chris Jordan, Ben Taskar

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Talking pictures: Temporal grouping and dialog-supervised person recognition.

Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Learning from ambiguously labeled images.

Timothée Cour, Benjamin Sapp, Chris Jordan, Benjamin Taskar

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

A Fast Data Collection and Augmentation Procedure for Object Recognition.

Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video.

Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng

Proceedings of the IJCAI 2007, 2007