Benjamin Sapp | DeepAI

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Featured Co-authors

Sergey Levine
379 publications
Cordelia Schmid
156 publications
Li Fei-Fei
125 publications
Shimon Whiteson
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Hang Zhao
78 publications
Chen Sun
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Tian Lan
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Dragomir Anguelov
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Aleksandra Faust
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George Tucker
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Alexander Toshev
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∙ 12/21/2022

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

Imitation learning (IL) is a simple and powerful way to use high-quality...

0 Yiren Lu, et al. ∙

∙ 12/16/2022

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

We propose JFP, a Joint Future Prediction model that can learn to genera...

0 Wenjie Luo, et al. ∙

∙ 07/12/2022

Wayformer: Motion Forecasting via Simple Efficient Attention Networks

Motion forecasting for autonomous driving is a challenging task because ...

0 Nigamaa Nayakanti, et al. ∙

∙ 06/08/2022

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

Behavior prediction models have proliferated in recent years, especially...

0 DiJia Su, et al. ∙

∙ 11/29/2021

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

Predicting the future behavior of road users is one of the most challeng...

0 Balakrishnan Varadarajan, et al. ∙

∙ 04/20/2021

Identifying Driver Interactions via Conditional Behavior Prediction

Interactive driving scenarios, such as lane changes, merges and unprotec...

0 Ekaterina Tolstaya, et al. ∙

∙ 08/19/2020

TNT: Target-driveN Trajectory Prediction

Predicting the future behavior of moving agents is essential for real wo...

2 Hang Zhao, et al. ∙

∙ 10/12/2019

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Predicting human behavior is a difficult and crucial task required for m...

12 Yuning Chai, et al. ∙

∙ 06/21/2019

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

We focus on the problem of predicting future states of entities in compl...

3 Joey Hong, et al. ∙

∙ 11/20/2015

The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition

Current approaches for fine-grained recognition do the following: First,...

0 Jonathan Krause, et al. ∙

∙ 08/06/2012

Structured Prediction Cascades

Structured prediction tasks pose a fundamental trade-off between the nee...

0 David Weiss, et al. ∙

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