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"

5 / 5 papers shown

Title
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 41 0 0 13 Oct 2024
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 30 1 0 17 Sep 2024
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 34 54 0 28 Jun 2022
Deep Visual Domain Adaptation G. Csurka OOD 121 185 0 28 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017