Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

29 November 2021

Alexandre Alahi

Papers citing "Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective"

39 / 39 papers shown

Title
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments Luca Castri Gloria Beraldo Nicola Bellotto 44 0 0 16 Apr 2025
$C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention$ C $^{2}$ INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Xiaohe Li Feilong Huang Zide Fan Fangli Mou Leilei Lin Yingyan Hou Lijie Wen 65 0 0 19 Nov 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 131 0 0 13 Oct 2024
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference Jianxing Yu Shiqi Wang Han Yin Zhenlong Sun Ruobing Xie Bo Zhang Yanghui Rao CML 35 0 0 10 Oct 2024
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving Ehsan Ahmadi Ray Coden Mercurius Soheil Alizadeh K. Rezaee Amir Rasouli AAML 41 0 0 23 Sep 2024
Vision-Language Models Assisted Unsupervised Video Anomaly Detection Yalong Jiang Liquan Mao 23 0 0 21 Sep 2024
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks Rujia Shen Boran Wang Chao Zhao Yi Guan Jingchi Jiang CML BDL AI4TS 30 0 0 15 Aug 2024
JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions Kenta Mukoya Erica Weng Rohan Choudhury Kris Kitani 27 0 0 05 Jul 2024
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios Luca Castri Gloria Beraldo Sariah Mghames Marc Hanheide Nicola Bellotto 42 3 0 07 Jun 2024
Characterizing the Complexity of Social Robot Navigation Scenarios Andrew Stratton Kris K. Hauser Christoforos Mavrogiannis 51 1 0 18 May 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction Lan Feng Mohammadhossein Bahari Kaouther Messaoud Ben Amor Éloi Zablocki Matthieu Cord Alexandre Alahi 49 19 0 22 Mar 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory Daehee Park Jaeseok Jeong Sung-Hoon Yoon Jaewoo Jeong Kuk-Jin Yoon TTA 42 10 0 15 Mar 2024
Intention-aware Denoising Diffusion Model for Trajectory Prediction Chen Liu Shibo He Haoyu Liu Jiming Chen DiffM 29 7 0 14 Mar 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks Yifan Duan Guibin Zhang Shilong Wang Xiaojiang Peng Ziqi Wang Junyuan Mao Hao Wu Xinke Jiang Kun Wang 41 6 0 22 Feb 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 49 0 0 16 Feb 2024
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction Tangwen Qian Yile Chen Gao Cong Yongjun Xu Fei Wang 29 5 0 22 Dec 2023
Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction Yuke Li Lixiong Chen Guan-Hong Chen Ching-Yao Chan Kun Zhang Stefano Anzellotti Donglai Wei 25 0 0 22 Dec 2023
MotionScript: Natural Language Descriptions for Expressive 3D Human Motions Payam Jome Yazdian Eric Liu Li Cheng Angelica Lim Li Cheng Angelica Lim 33 7 0 19 Dec 2023
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations Yuejiang Liu Ahmad Rahimi Po-Chien Luan Frano Rajic Alexandre Alahi 35 3 0 07 Dec 2023
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion Kiran Chhatre Radek Danvevcek Nikos Athanasiou Giorgio Becherini Christopher Peters Michael J. Black Timo Bolkart DiffM 34 16 0 07 Dec 2023
A Game-Theoretic Framework for Joint Forecasting and Planning K. Kedia Prithwish Dan Sanjiban Choudhury 13 5 0 11 Aug 2023
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009 Feng Li CML SyDa LRM 11 0 0 10 Aug 2023
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction Shen Li Qifan Xue Yezhuo Zhang Xuanpeng Li OOD CML OODD 19 2 0 11 Jul 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting Erica Weng Hanako Hoshino Deva Ramanan Kris M. Kitani 33 13 0 10 May 2023
SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation Nikos Athanasiou Mathis Petrovich Michael J. Black Gül Varol 13 40 0 20 Apr 2023
Causal Deep Learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML AI4CE 18 25 0 03 Mar 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 23 12 0 17 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Spatio-temporal neural structural causal models for bike flow prediction Pan Deng Yu Zhao Junting Liu Xiaofeng Jia Mulan X. Wang AI4TS 19 18 0 19 Jan 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 56 22 0 12 Jan 2023
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting Parth Kothari Danyang Li Yuejiang Liu Alexandre Alahi TTA AI4TS 37 15 0 06 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto 39 18 0 29 Oct 2022
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis Yanan Xin Natasa Tagasovska F. Pérez-Cruz Martin Raubal 35 10 0 18 Oct 2022
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting Parth Kothari Alexandre Alahi 22 25 0 25 Sep 2022
DROID: Driver-centric Risk Object Identification Chengxi Li Stanley H. Chan Yi-Ting Chen 29 6 0 24 Jun 2021
Deep Visual Domain Adaptation G. Csurka OOD 135 185 0 28 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 146 370 0 09 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017