Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion
Forecasting

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting

6 November 2022

Alexandre Alahi

Papers citing "Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting"

6 / 6 papers shown

Title
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 140 0 0 13 Oct 2024
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 134 1 0 17 Sep 2024
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting Parth Kothari Alexandre Alahi 27 25 0 25 Sep 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 39 55 0 28 Jun 2022
Deep Visual Domain Adaptation G. Csurka OOD 141 185 0 28 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017