Causal-based Time Series Domain Generalization for Vehicle Intention
Prediction

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction

3 December 2021

Wei Zhan

Papers citing "Causal-based Time Series Domain Generalization for Vehicle Intention Prediction"

17 / 17 papers shown

Title
Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng Maarten de Rijke CML AI4TS OOD BDL 66 0 0 15 Dec 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian Miao Sun Sifan Zhou Biao Wan Minhao Li Patrick Chiang 31 7 0 05 Jul 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach Juanwu Lu Wei Zhan Masayoshi Tomizuka Yeping Hu OOD BDL 33 3 0 10 Mar 2024
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain Xiaohe Li Feilong Huang Zide Fan Fangli Mou Yingyan Hou Chen Qian Lijie Wen 13 1 0 13 Feb 2024
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 25 3 0 07 Dec 2023
Safety-Assured Speculative Planning with Adaptive Prediction Xiangguo Liu Ruochen Jiao Yixuan Wang Yimin Han Bowen Zheng Qi Zhu 10 10 0 21 Jul 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey Xinyi Liu Jinlong Li Jin Ma Huiming Sun Zhigang Xu Tianyu Zhang Hongkai Yu 48 22 0 26 Jun 2023
SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets Borui Cai Guang-Li Huang Shuiqiao Yang Yong Xiang Chi-Hung Chi AI4TS 16 5 0 06 Apr 2023
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift Defu Cao Yousef El-Laham Loc Trinh Svitlana Vyetrenko Y. Liu 6 11 0 17 Nov 2022
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios J. Schumann Jens Kober Arkady Zgonnikov 27 10 0 10 Nov 2022
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 42 44 0 01 Nov 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 15 4 0 26 Sep 2022
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation Wei-Jer Chang Yeping Hu Chenran Li Wei Zhan M. Tomizuka 14 4 0 09 Aug 2022
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 363 0 20 Jan 2021
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan M. Tomizuka 8 36 0 07 Apr 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016