Sapp, Benjamin

18 publications

TMLR 2025 EMMA: End-to-End Multimodal Model for Autonomous Driving 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

CVPR 2023 MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion Chiyu “Max” Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov

ICCV 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

TMLR 2023 VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp

NeurIPS 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 Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

CoRL 2022 JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov

ICLR 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, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

CoRL 2019 MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov

ECCV 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

ICCV 2013 Dynamic Structured Model Selection David Weiss, Benjamin Sapp, Ben Taskar

CVPR 2011 Parsing Human Motion with Stretchable Models Benjamin Sapp, David J. Weiss, Ben Taskar

CVPR 2010 Adaptive Pose Priors for Pictorial Structures Benjamin Sapp, Chris Jordan, Ben Taskar

ECCV 2010 Cascaded Models for Articulated Pose Estimation Benjamin Sapp, Alexander Toshev, Ben Taskar

NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades David Weiss, Benjamin Sapp, Ben Taskar

CVPR 2010 Talking Pictures: Temporal Grouping and Dialog-Supervised Person Recognition Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar

CVPR 2009 Learning from Ambiguously Labeled Images Timothée Cour, Benjamin Sapp, Chris Jordan, Benjamin Taskar

AAAI 2008 A Fast Data Collection and Augmentation Procedure for Object Recognition Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng

IJCAI 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