Xinshuo Weng

Orcid: 0000-0002-7894-4381

According to our database1, Xinshuo Weng authored at least 46 papers between 2016 and 2023.

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Bibliography

2023
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.
CoRR, 2023

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
CoRR, 2023

Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Tree-structured Policy Planning with Learned Behavior Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Language Conditioned Traffic Generation.
Proceedings of the Conference on Robot Learning, 2023

2022
Multiface: A Dataset for Neural Face Rendering.
CoRR, 2022

MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

S2Net: Stochastic Sequential Pointcloud Forecasting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Trajectory Prediction against Adversarial Attacks.
Proceedings of the Conference on Robot Learning, 2022

2021
PTP: Parallelized Tracking and Prediction With Graph Neural Networks and Diversity Sampling.
IEEE Robotics Autom. Lett., 2021

Supervision by Registration and Triangulation for Landmark Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning Shape Representations for Person Re-Identification under Clothing Change.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Joint Object Detection and Multi-Object Tracking with Graph Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-Echo LiDAR for 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Visio-Temporal Attention for Multi-Camera Multi-Target Association.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Wide-Baseline Multi-Camera Calibration Using Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Modality Task Cascade for 3D Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking.
CoRR, 2020

End-to-End 3D Multi-Object Tracking and Trajectory Forecasting.
CoRR, 2020

Graph Neural Networks for 3D Multi-Object Tracking.
CoRR, 2020

AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.
CoRR, 2020

Joint Detection and Multi-Object Tracking with Graph Neural Networks.
CoRR, 2020

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning.
CoRR, 2020

Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting.
CoRR, 2020

Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling.
CoRR, 2020

Learning Shape Representations for Clothing Variations in Person Re-Identification.
CoRR, 2020

3D Multi-Object Tracking: A Baseline and New Evaluation Metrics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
A Baseline for 3D Multi-Object Tracking.
CoRR, 2019

Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges.
CoRR, 2019

GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
CyLKs: Unsupervised Cycle Lucas-Kanade Network for Landmark Tracking.
CoRR, 2018

Image Labeling with Markov Random Fields and Conditional Random Fields.
CoRR, 2018

GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency.
CoRR, 2018

Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Rotational Rectification Network for Robust Pedestrian Detection.
CoRR, 2017

2016
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator.
CoRR, 2016


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