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Benjamin Sapp
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- affiliation: Waymo LLC, USA
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2020 – today
- 2024
- [c32]Liting Sun, Rebecca Roelofs, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai:
CausalAgents: A Robustness Benchmark for Motion Forecasting. ICRA 2024: 6820-6827 - [i21]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:
EMMA: End-to-End Multimodal Model for Autonomous Driving. CoRR abs/2410.23262 (2024) - 2023
- [j3]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) - [c31]Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov:
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. CVPR 2023: 9644-9653 - [c30]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: 8545-8556 - [c29]Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp:
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. ICRA 2023: 2980-2987 - [c28]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: 7553-7560 - [c27]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 - [i20]Chiyu Max Jiang, Andre Cornman, Cheolho Park, Ben Sapp, Yin Zhou, Dragomir Anguelov:
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion. CoRR abs/2306.03083 (2023) - [i19]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 abs/2309.16534 (2023) - [i18]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
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR abs/2310.08710 (2023) - 2022
- [j2]Reza Mahjourian
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 5639-5646 (2022) - [c26]Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov:
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRL 2022: 1457-1467 - [c25]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:
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 2022 - [c24]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: 653-659 - [c23]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: 7814-7821 - [c22]Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov:
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. ICRA 2022: 8957-8963 - [i17]Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov:
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR abs/2203.03875 (2022) - [i16]Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov:
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. CoRR abs/2206.00991 (2022) - [i15]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 abs/2206.03970 (2022) - [i14]Serge Assaad, Carlton Downey, Rami Al-Rfou, Nigamaa Nayakanti, Ben Sapp:
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. CoRR abs/2206.04176 (2022) - [i13]Rebecca Roelofs, Liting Sun, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai:
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. CoRR abs/2207.03586 (2022) - [i12]Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp:
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. CoRR abs/2207.05844 (2022) - [i11]Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov:
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRR abs/2212.08710 (2022) - [i10]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR abs/2212.11419 (2022) - 2021
- [c21]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:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 2021: 9690-9699 - [c20]Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA 2021: 3473-3479 - [i9]Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR abs/2104.09959 (2021) - [i8]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 abs/2104.10133 (2021) - [i7]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 abs/2106.08417 (2021) - [i6]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 abs/2111.14973 (2021) - 2020
- [c19]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: 895-904 - [i5]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 abs/2008.08294 (2020)
2010 – 2019
- 2019
- [c18]Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL 2019: 86-99 - [c17]Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR 2019: 8454-8462 - [i4]Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR abs/1906.08945 (2019) - [i3]Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR abs/1910.05449 (2019) - 2016
- [c16]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: 301-320 - 2015
- [i2]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - 2013
- [c15]Benjamin Sapp, Ben Taskar:
MODEC: Multimodal Decomposable Models for Human Pose Estimation. CVPR 2013: 3674-3681 - [c14]David J. Weiss, Benjamin Sapp, Ben Taskar:
Dynamic Structured Model Selection. ICCV 2013: 2656-2663 - 2012
- [c13]Adam J. Aviv
Practicality of accelerometer side channels on smartphones. ACSAC 2012: 41-50 - [i1]David J. Weiss, Benjamin Sapp, Ben Taskar:
Structured Prediction Cascades. CoRR abs/1208.3279 (2012) - 2011
- [j1]Timothée Cour, Benjamin Sapp, Ben Taskar:
Learning from Partial Labels. J. Mach. Learn. Res. 12: 1501-1536 (2011) - [c12]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 - [c11]Sara Miner More, Pavel Naumov
Concurrency Semantics for the Geiger-Paz-Pearl Axioms of Independence. CSL 2011: 443-457 - [c10]Benjamin Sapp, David J. Weiss, Ben Taskar:
Parsing human motion with stretchable models. CVPR 2011: 1281-1288 - [c9]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: 1554-1561 - 2010
- [c8]Benjamin Sapp, Chris Jordan, Ben Taskar:
Adaptive pose priors for pictorial structures. CVPR 2010: 422-429 - [c7]Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar:
Talking pictures: Temporal grouping and dialog-supervised person recognition. CVPR 2010: 1014-1021 - [c6]Benjamin Sapp, Alexander Toshev, Ben Taskar:
Cascaded Models for Articulated Pose Estimation. ECCV (2) 2010: 406-420 - [c5]Robert Kelvey, Sara Miner More, Pavel Naumov, Benjamin Sapp:
Independence and Functional Dependence Relations on Secrets. KR 2010 - [c4]David J. Weiss, Benjamin Sapp, Ben Taskar:
Sidestepping Intractable Inference with Structured Ensemble Cascades. NIPS 2010: 2415-2423
2000 – 2009
- 2009
- [c3]Timothée Cour, Benjamin Sapp, Chris Jordan, Benjamin Taskar:
Learning from ambiguously labeled images. CVPR 2009: 919-926 - 2008
- [c2]Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng:
A Fast Data Collection and Augmentation Procedure for Object Recognition. AAAI 2008: 1402-1408 - 2007
- [c1]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: 2115-2121
Coauthor Index
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