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Target-driven Self-Distillation for Partial Observed Trajectories Forecasting

28 January 2025
Pengfei Zhu
Peng Shu
Mengshi Qi
Liang Liu
Huadong Ma
ArXiv (abs)PDFHTML

Papers citing "Target-driven Self-Distillation for Partial Observed Trajectories Forecasting"

38 / 38 papers shown
Title
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Yi Tian Xu
Yun Fu
94
12
0
31 Mar 2024
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with
  Relative Pose Encoding
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
Zhejun Zhang
Alexander Liniger
Daniel Gehrig
Fisher Yu
Luc Van Gool
93
34
0
19 Oct 2023
Improving Autonomous Driving Safety with POP: A Framework for Accurate
  Partially Observed Trajectory Predictions
Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions
Sheng Wang
Yingbing Chen
Jie Cheng
Xiaodong Mei
Ren Xin
Yongkang Song
Ming-Yuan Liu
104
6
0
27 Sep 2023
SEPT: Towards Efficient Scene Representation Learning for Motion
  Prediction
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan
Yuxuan Jiang
Yao Mu
Chong Chen
Keqiang Li
165
28
0
26 Sep 2023
PBP: Path-based Trajectory Prediction for Autonomous Driving
PBP: Path-based Trajectory Prediction for Autonomous Driving
Sepideh Afshar
Nachiket Deo
A. Bhagat
Titas Chakraborty
Yunming Shao
Balarama Raju Buddharaju
Adwait Deshpande
Henggang Cui
83
3
0
07 Sep 2023
MacFormer: Map-Agent Coupled Transformer for Real-time and Robust
  Trajectory Prediction
MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction
Chen Feng
Hangning Zhou
Huadong Lin
Zhigang Zhang
Ziyao Xu
Chi Zhang
Boyu Zhou
Shaojie Shen
93
48
0
20 Aug 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with
  Masked Autoencoders
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
Jie Cheng
Xiaodong Mei
Ming-Yuan Liu
98
60
0
19 Aug 2023
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and
  Guided Intention Querying
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
91
129
0
30 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using
  Diffusion
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
C. Jiang
Andre Cornman
C. Park
Benjamin Sapp
Yin Zhou
Drago Anguelov
DiffM
105
142
0
05 Jun 2023
Think Twice before Driving: Towards Scalable Decoders for End-to-End
  Autonomous Driving
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
Xiaosong Jia
Peng Wu
Li Chen
Jiangwei Xie
Conghui He
Junchi Yan
Hongyang Li
101
114
0
10 May 2023
ProphNet: Efficient Agent-Centric Motion Forecasting with
  Anchor-Informed Proposals
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
Xishun Wang
Tong Su
Fang Da
Xiaodong Yang
103
62
0
21 Mar 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
Traj-MAE: Masked Autoencoders for Trajectory Prediction
Hao Chen
Jiaze Wang
Kun Shao
Furui Liu
Jianye Hao
Chenyong Guan
Guangyong Chen
Pheng-Ann Heng
122
40
0
12 Mar 2023
Dynamic Scenario Representation Learning for Motion Forecasting with
  Heterogeneous Graph Convolutional Recurrent Networks
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
Xing Gao
Xiaogang Jia
Yikang Li
H. Xiong
98
35
0
08 Mar 2023
Argoverse 2: Next Generation Datasets for Self-Driving Perception and
  Forecasting
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
3DPCAI4TS
141
647
0
02 Jan 2023
Planning-oriented Autonomous Driving
Planning-oriented Autonomous Driving
Yi Hu
Jiazhi Yang
Li Chen
Keyu Li
Chonghao Sima
...
Xiaosong Jia
Qiang Liu
Jifeng Dai
Yu Qiao
Hongyang Li
98
665
0
20 Dec 2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
Alexander Cui
Sergio Casas
K. Wong
Simon Suo
R. Urtasun
108
68
0
04 Nov 2022
Visual Language Maps for Robot Navigation
Visual Language Maps for Robot Navigation
Chen Huang
Oier Mees
Andy Zeng
Wolfram Burgard
LM&Ro
323
372
0
11 Oct 2022
Motion Transformer with Global Intention Localization and Local Movement
  Refinement
Motion Transformer with Global Intention Localization and Local Movement Refinement
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
110
244
0
27 Sep 2022
GANet: Goal Area Network for Motion Forecasting
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
101
67
0
20 Sep 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
AI4TS
143
259
0
12 Jul 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving:
  A Simple yet Strong Baseline
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
103
204
0
16 Jun 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu
Guangyi Chen
Junlong Li
Chunze Lin
Yongming Rao
Jie Zhou
Jiwen Lu
DiffMVGen
498
216
0
25 Mar 2022
MixFormer: End-to-End Tracking with Iterative Mixed Attention
MixFormer: End-to-End Tracking with Iterative Mixed Attention
Yutao Cui
Jiang Cheng
Limin Wang
Gangshan Wu
VOT
123
479
0
21 Mar 2022
How many Observations are Enough? Knowledge Distillation for Trajectory
  Forecasting
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
Alessio Monti
Angelo Porrello
Simone Calderara
Pasquale Coscia
Lamberto Ballan
Rita Cucchiara
67
51
0
09 Mar 2022
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for
  Behavior Prediction
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
142
317
0
29 Nov 2021
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
110
137
0
13 Oct 2021
Scene Transformer: A unified architecture for predicting multiple agent
  trajectories
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam
Benjamin Caine
Vijay Vasudevan
Zhengdong Zhang
H. Chiang
...
Ashish Venugopal
David J. Weiss
Benjamin Sapp
Zhifeng Chen
Jonathon Shlens
131
168
0
15 Jun 2021
TNT: Target-driveN Trajectory Prediction
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
118
560
0
19 Aug 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
845
10,591
0
17 Feb 2020
Argoverse: 3D Tracking and Forecasting with Rich Maps
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
164
1,301
0
06 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
104
671
0
12 Oct 2019
Real Time Trajectory Prediction Using Deep Conditional Generative Models
Real Time Trajectory Prediction Using Deep Conditional Generative Models
S. Gómez-González
Sergey Prokudin
Bernhard Schölkopf
Jan Peters
DRLAI4CE
47
40
0
09 Sep 2019
Crowd-Robot Interaction: Crowd-aware Robot Navigation with
  Attention-based Deep Reinforcement Learning
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Changan Chen
Yuejiang Liu
S. Kreiss
Alexandre Alahi
HAI
165
514
0
24 Sep 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum
J. Kender
Zicheng Liu
3DH
106
332
0
27 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
1.0K
133,599
0
12 Jun 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
388
8,216
0
13 Aug 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
Viresh Ranjan
David J. Crandall
Dhruv Batra
BDLUQCVOOD
98
179
0
24 Jun 2016
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
247
5,230
0
10 Feb 2015
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