Improving Transferability for Cross-domain Trajectory Prediction via
Neural Stochastic Differential Equation

Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation

26 December 2023

Kuk-Jin Yoon

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Papers citing "Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation"

14 / 14 papers shown

Title
Continuous Locomotive Crowd Behavior Generation Inhwan Bae Junoh Lee Hae-Gon Jeon 95 0 0 07 Apr 2025
Uncertainty estimation for Cross-dataset performance in Trajectory prediction Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 111 18 0 15 May 2022
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction Inhwan Bae Jin-Hwi Park Hae-Gon Jeon 91 57 0 25 Mar 2022
Transferable and Adaptable Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan Masayoshi Tomizuka Changliu Liu 70 25 0 10 Feb 2022
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 98 131 0 15 Jul 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 192 566 0 20 Apr 2021
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking F. Saleh S. Aliakbarian Hamid Rezatofighi Mathieu Salzmann Stephen Gould VOT 70 74 0 03 Dec 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective Parth Kothari S. Kreiss Alexandre Alahi HAI AI4TS 75 242 0 07 Jul 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 111 481 0 18 May 2020
Argoverse: 3D Tracking and Forecasting with Rich Maps Ming-Fang Chang John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk ... De Wang Peter Carr Simon Lucey Deva Ramanan James Hays 3DPC 149 1,298 0 06 Nov 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 96 299 0 29 May 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 166 210 0 23 May 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 301 5,779 0 26 Mar 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 437 5,157 0 19 Jun 2018