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Annealed Winner-Takes-All for Motion Forecasting
IEEE International Conference on Robotics and Automation (ICRA), 2024
17 September 2024
Yihong Xu
Victor Letzelter
Mickaël Chen
Éloi Zablocki
Matthieu Cord
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Papers citing
"Annealed Winner-Takes-All for Motion Forecasting"
37 / 37 papers shown
Title
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Yue Yao
Mohamed-Khalil Bouzidi
Daniel Goehring
Joerg Reichardt
DiffM
274
0
0
07 Apr 2025
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
Neural Information Processing Systems (NeurIPS), 2024
David Perera
Victor Letzelter
Théo Mariotte
Adrien Cortés
Mickaël Chen
S. Essid
Ga¨el Richard
344
10
0
20 Jan 2025
Scaling Motion Forecasting Models with Ensemble Distillation
Scott Ettinger
Kratarth Goel
Avikalp Srivastava
Rami Al-Rfou
177
6
0
05 Apr 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
European Conference on Computer Vision (ECCV), 2024
Lan Feng
Mohammadhossein Bahari
Kaouther Messaoud Ben Amor
Éloi Zablocki
Matthieu Cord
Alexandre Alahi
258
46
0
22 Mar 2024
MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
IEEE International Conference on Robotics and Automation (ICRA), 2024
Zhuo Xu
Rui Zhou
Yida Yin
Huidong Gao
Masayoshi Tomizuka
Jiachen Li
177
9
0
09 Mar 2024
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Longzhong Lin
Xuewu Lin
Tianwei Lin
Lichao Huang
Rong Xiong
Yue Wang
171
20
0
15 Dec 2023
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
IEEE International Conference on Robotics and Automation (ICRA), 2023
Yihong Xu
Loick Chambon
Éloi Zablocki
Mickaël Chen
Alexandre Alahi
Matthieu Cord
P. Pérez
321
20
0
15 Jun 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
International Conference on Pattern Recognition (ICPR), 2022
Laura Calem
H. Ben-younes
P. Pérez
Nicolas Thome
228
3
0
07 Feb 2023
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson
William Qi
Tanmay Agarwal
John Lambert
Jagjeet Singh
...
Andrew Hartnett
J. K. Pontes
Deva Ramanan
Peter Carr
James Hays
3DPC
AI4TS
481
842
0
02 Jan 2023
Planning-oriented Autonomous Driving
Computer Vision and Pattern Recognition (CVPR), 2022
Yi Hu
Jiazhi Yang
Li Chen
Keyu Li
Chonghao Sima
...
Xiaosong Jia
Qiang Liu
Jifeng Dai
Yu Qiao
Hongyang Li
190
999
0
20 Dec 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Conference on Robot Learning (CoRL), 2022
Parth Kothari
Danyang Li
Yuejiang Liu
Alexandre Alahi
TTA
AI4TS
251
17
0
06 Nov 2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
IEEE International Conference on Robotics and Automation (ICRA), 2022
Alexander Cui
Sergio Casas
K. Wong
Simon Suo
R. Urtasun
304
83
0
04 Nov 2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
Neural Information Processing Systems (NeurIPS), 2022
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
238
333
0
27 Sep 2022
GANet: Goal Area Network for Motion Forecasting
IEEE International Conference on Robotics and Automation (ICRA), 2022
Mingkun Wang
Xinge Zhu
Changqian Yu
W. Li
Yuexin Ma
Ruochun Jin
Xiaoguang Ren
Dongchun Ren
Mingxu Wang
Wenjing Yang
286
85
0
20 Sep 2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
Computer Vision and Pattern Recognition (CVPR), 2022
Junru Gu
Chenxu Hu
Tian-Yi Zhang
Xuanyao Chen
Yilun Wang
Yue Wang
Hang Zhao
243
119
0
02 Aug 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
IEEE International Conference on Robotics and Automation (ICRA), 2022
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
AI4TS
251
343
0
12 Jul 2022
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan
Ahmed S. Hefny
A. Srivastava
Khaled S. Refaat
Nigamaa Nayakanti
...
K. Chen
B. Douillard
C. Lam
Drago Anguelov
Benjamin Sapp
446
372
0
29 Nov 2021
Raising context awareness in motion forecasting
H. Ben-younes
Éloi Zablocki
Mickaël Chen
P. Pérez
Matthieu Cord
TTA
273
12
0
16 Sep 2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
IEEE International Conference on Computer Vision (ICCV), 2021
Junru Gu
Chen Sun
Hang Zhao
335
508
0
22 Aug 2021
HOME: Heatmap Output for future Motion Estimation
International Conference on Intelligent Transportation Systems (ITSC), 2021
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
204
232
0
23 May 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Computer Vision and Pattern Recognition (CVPR), 2021
Sriram Narayanan
Ramin Moslemi
Francesco Pittaluga
Buyu Liu
Manmohan Chandraker
170
66
0
16 Apr 2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
Computer Vision and Pattern Recognition (CVPR), 2021
Byeoungdo Kim
Seonghyeon Park
S. Lee
Elbek Khoshimjonov
Dongsuk Kum
Junsoo Kim
Jeong Soo Kim
J. Choi
236
129
0
01 Apr 2021
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
IEEE International Conference on Computer Vision (ICCV), 2021
Ye Yuan
Xinshuo Weng
Yanglan Ou
Kris Kitani
AI4TS
419
577
0
25 Mar 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
IEEE International Conference on Computer Vision (ICCV), 2021
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
390
152
0
16 Jan 2021
DiverseNet: When One Right Answer is not Enough
Michael Firman
Neill D. F. Campbell
Lourdes Agapito
Gabriel J. Brostow
3DH
OOD
204
24
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
336
635
0
19 Aug 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
European Conference on Computer Vision (ECCV), 2020
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
543
131
0
06 Mar 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Computer Vision and Pattern Recognition (CVPR), 2019
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
493
3,229
0
10 Dec 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Computer Vision and Pattern Recognition (CVPR), 2019
Tung Phan-Minh
E. Grigore
Freddy A. Boulton
Oscar Beijbom
Eric M. Wolff
322
438
0
23 Nov 2019
Multiple Futures Prediction
Neural Information Processing Systems (NeurIPS), 2019
Yichuan Tang
Ruslan Salakhutdinov
303
366
0
04 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Conference on Robot Learning (CoRL), 2019
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
337
743
0
12 Oct 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Computer Vision and Pattern Recognition (CVPR), 2019
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
399
204
0
09 Jun 2019
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui
Vladan Radosavljevic
Fang-Chieh Chou
Tsung-Han Lin
Thi Nguyen
Tzu-Kuo Huang
J. Schneider
Nemanja Djuric
313
681
0
18 Sep 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg
Özgün Çiçek
Silvio Galesso
Aaron Klein
Osama Makansi
Katharina Eggensperger
Thomas Brox
UQCV
216
244
0
20 Feb 2018
Confident Multiple Choice Learning
International Conference on Machine Learning (ICML), 2017
Kimin Lee
Changho Hwang
KyoungSoo Park
Jinwoo Shin
134
51
0
12 Jun 2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht
Iro Laina
R. DiPietro
Maximilian Baust
Federico Tombari
Nassir Navab
Gregory D. Hager
239
205
0
01 Dec 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Neural Information Processing Systems (NeurIPS), 2016
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
Viresh Ranjan
David J. Crandall
Dhruv Batra
BDL
UQCV
OOD
246
189
0
24 Jun 2016
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