RedMotion: Motion Prediction via Redundancy Reduction

RedMotion: Motion Prediction via Redundancy Reduction

19 June 2023

Ömer Sahin Tas

Carlos Fernandez Lopez

Christoph Stiller

Papers citing "RedMotion: Motion Prediction via Redundancy Reduction"

14 / 14 papers shown

Title
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts Mingshuo Liu Shiyi Luo Marlon Steiner Fabian Konstantinidis Hendrik Konigshof Marvin Klemp Carlos Fernandez Christoph Stiller 34 2 0 02 Aug 2024
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers Omer Sahin Tas Royden Wagner 33 1 0 17 Jun 2024
JointMotion: Joint Self-supervision for Joint Motion Prediction Royden Wagner Ömer Sahin Tas Marvin Klemp Carlos Fernandez Lopez TTA 23 1 0 08 Mar 2024
RMP: A Random Mask Pretrain Framework for Motion Prediction Yi Yang Qingwen Zhang Thomas Gilles Nazre Batool John Folkesson 41 5 0 16 Sep 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen Jiaze Wang Kun Shao Furui Liu Jianye Hao Chenyong Guan Guangyong Chen Pheng-Ann Heng 41 37 0 12 Mar 2023
Exploiting map information for self-supervised learning in motion forecasting Caio Azevedo Thomas Gilles S. Sabatini D. Tsishkou SSL 36 9 0 10 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 88 99 0 03 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 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 123 421 0 20 Apr 2021
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 205 732 0 07 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 159 3,799 0 14 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016