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Xiaobo Chen's Projects

tensor-learning icon tensor-learning

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

tensor4kriging icon tensor4kriging

Laplacian-enhanced tensor learning for large-scale spatiotemporal traffic data kriging (estimation)

tensorlib icon tensorlib

Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.

testam icon testam

Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

tnnr icon tnnr

This is an implementation of Truncated Nuclear Norm Regularization Method.

trafformer icon trafformer

Source code for AAAI23 “Trafformer: Unify Time and Space in Traffic Prediction”

traj-pred-irl icon traj-pred-irl

Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV

trajpred icon trajpred

[T-ITS 2024] TrajPRed: Trajectory Prediction with Region-based Relation Learning

transfuser icon transfuser

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

tutr icon tutr

ICCV2023 TUTR: Trajectory Unified Transformer for Pedestrian Trajectory Prediction

ufdn-reid icon ufdn-reid

[ECCV2022] Unstructured Feature Decoupling for Vehicle Re-Identification (UFDN)

ustring icon ustring

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

vci-dataset-dut icon vci-dataset-dut

Top-view trajectory data of pedestrians in crowd under vehicle influence in everyday campus scenarios

velocity_control icon velocity_control

Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"

vit-dd icon vit-dd

[IEEE IV 23] This repo contains code and models for the implementation of ViT-DD, a semi-supervised method for detecting driver distractions.

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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