v1v2 (latest)

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

8 June 2022

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

33 / 33 papers shown

Title
Towards Understanding Knowledge Distillation Mary Phuong Christoph H. Lampert 71 323 0 27 May 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 211 568 0 20 Apr 2021
Multimodal Motion Prediction with Stacked Transformers Yicheng Liu Jinghuai Zhang Liangji Fang Qinhong Jiang Bolei Zhou 74 360 0 22 Mar 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting Maosheng Ye Tongyi Cao Qifeng Chen 3DPC 72 147 0 04 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 244 368 0 20 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 96 183 0 17 Jan 2021
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 177 115 0 24 Aug 2020
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 116 559 0 19 Aug 2020
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 81 574 0 27 Jul 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid 130 815 0 08 May 2020
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving Thibault Buhet É. Wirbel Andrei Bursuc Xavier Perrotton 40 33 0 09 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 70 122 0 07 Mar 2020
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data Tim Salzmann Boris Ivanovic Punarjay Chakravarty Marco Pavone 119 130 0 09 Jan 2020
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 107 384 0 23 Nov 2019
Understanding Knowledge Distillation in Non-autoregressive Machine Translation Chunting Zhou Graham Neubig Jiatao Gu 76 221 0 07 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps Ming-Fang Chang John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk ... De Wang Peter Carr Simon Lucey Deva Ramanan James Hays 3DPC 149 1,298 0 06 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 96 353 0 04 Nov 2019
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 238 212 0 18 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 102 670 0 12 Oct 2019
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting Jean Pierre Mercat Thomas Gilles N. Zoghby G. Sandou D. Beauvois Guillermo Pita Gil 63 173 0 08 Oct 2019
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps Wei Zhan Liting Sun Di Wang Haojie Shi Aubrey Clausse ... Julius Kümmerle Hendrik Königshof Christoph Stiller A. de La Fortelle Masayoshi Tomizuka 3DV 54 470 0 30 Sep 2019
Diverse Trajectory Forecasting with Determinantal Point Processes Ye Yuan Kris Kitani 51 134 0 11 Jul 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions Joey Hong Benjamin Sapp James Philbin 99 248 0 21 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 167 18,193 0 28 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings Nicholas Rhinehart R. McAllister Kris Kitani Sergey Levine 78 374 0 03 May 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction Tianyang Zhao Yifei Xu Mathew Monfort Wongun Choi Chris L. Baker Yibiao Zhao Yizhou Wang Ying Nian Wu 54 400 0 09 Apr 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 301 5,786 0 26 Mar 2019
PointPillars: Fast Encoders for Object Detection from Point Clouds Alex H. Lang Sourabh Vora Holger Caesar Lubing Zhou Jiong Yang Oscar Beijbom 3DPC 75 3,457 0 14 Dec 2018
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 97 742 0 07 Dec 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks Agrim Gupta Justin Johnson Li Fei-Fei Silvio Savarese Alexandre Alahi GAN 173 1,926 0 29 Mar 2018
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 103 995 0 14 Apr 2017
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 130 1,123 0 25 Jun 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015