Annealed Winner-Takes-All for Motion Forecasting

17 September 2024

Papers citing "Annealed Winner-Takes-All for Motion Forecasting"

36 / 36 papers shown

Title
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing David Perera Victor Letzelter Théo Mariotte Adrien Cortés Mickaël Chen S. Essid Ga¨el Richard 119 3 0 20 Jan 2025
Scaling Motion Forecasting Models with Ensemble Distillation Scott Ettinger Kratarth Goel Avikalp Srivastava Rami Al-Rfou 58 6 0 05 Apr 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction Lan Feng Mohammadhossein Bahari Kaouther Messaoud Ben Amor Éloi Zablocki Matthieu Cord Alexandre Alahi 59 24 0 22 Mar 2024
MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts Zhuo Xu Rui Zhou Yida Yin Huidong Gao Masayoshi Tomizuka Jiachen Li 50 4 0 09 Mar 2024
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction Longzhong Lin Xuewu Lin Tianwei Lin Lichao Huang Rong Xiong Yue Wang 55 14 0 15 Dec 2023
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? Yihong Xu Loick Chambon Éloi Zablocki Mickaël Chen Alexandre Alahi Matthieu Cord P. Pérez 84 16 0 15 Jun 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 51 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 81 636 0 02 Jan 2023
Planning-oriented Autonomous Driving Yi Hu Jiazhi Yang Li Chen Keyu Li Chonghao Sima ... Xiaosong Jia Qiang Liu Jifeng Dai Yu Qiao Hongyang Li 73 627 0 20 Dec 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting Parth Kothari Danyang Li Yuejiang Liu Alexandre Alahi TTA AI4TS 84 15 0 06 Nov 2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting Alexander Cui Sergio Casas K. Wong Simon Suo R. Urtasun 83 68 0 04 Nov 2022
Motion Transformer with Global Intention Localization and Local Movement Refinement Shaoshuai Shi Li Jiang Dengxin Dai Bernt Schiele 81 236 0 27 Sep 2022
GANet: Goal Area Network for Motion Forecasting Mingkun Wang Xinge Zhu Changqian Yu W. Li Yuexin Ma Ruochun Jin Xiaoguang Ren Dongchun Ren Mingxu Wang Wenjing Yang 71 67 0 20 Sep 2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries Junru Gu Chenxu Hu Tian-Yi Zhang Xuanyao Chen Yilun Wang Yue Wang Hang Zhao 79 102 0 02 Aug 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti Rami Al-Rfou Aurick Zhou Kratarth Goel Khaled S. Refaat Benjamin Sapp AI4TS 109 253 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 106 316 0 29 Nov 2021
Raising context awareness in motion forecasting H. Ben-younes Éloi Zablocki Mickaël Chen P. Pérez Matthieu Cord TTA 79 12 0 16 Sep 2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets Junru Gu Chen Sun Hang Zhao 142 418 0 22 Aug 2021
HOME: Heatmap Output for future Motion Estimation Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 72 199 0 23 May 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction Sriram Narayanan Ramin Moslemi Francesco Pittaluga Buyu Liu Manmohan Chandraker 56 58 0 16 Apr 2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents Byeoungdo Kim Seonghyeon Park S. Lee Elbek Khoshimjonov Dongsuk Kum Junsoo Kim Jeong Soo Kim J. Choi 52 105 0 01 Apr 2021
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Ye Yuan Xinshuo Weng Yanglan Ou Kris Kitani AI4TS 75 450 0 25 Mar 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui Sergio Casas Abbas Sadat Renjie Liao R. Urtasun 144 129 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 67 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 95 553 0 19 Aug 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 162 120 0 06 Mar 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 93 2,875 0 10 Dec 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 81 384 0 23 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 70 353 0 04 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 94 666 0 12 Oct 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 99 191 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 58 612 0 18 Sep 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Eddy Ilg Özgün Çiçek Silvio Galesso Aaron Klein Osama Makansi Frank Hutter Thomas Brox UQCV 81 222 0 20 Feb 2018
Confident Multiple Choice Learning Kimin Lee Changho Hwang KyoungSoo Park Jinwoo Shin 56 48 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 52 184 0 01 Dec 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee Senthil Purushwalkam Michael Cogswell Viresh Ranjan David J. Crandall Dhruv Batra BDL UQCV OOD 63 178 0 24 Jun 2016