Yan Wang

Orcid: 0000-0002-7398-5854

Affiliations:
  • Cornell University, Department of Computer Science, Ithaca, NY, USA


According to our database1, Yan Wang authored at least 22 papers between 2018 and 2023.

Collaborative distances:

Timeline

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Bibliography

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

2022
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fixed Neural Network Steganography: Train the images, not the network.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Pseudo-LiDAR: Camera-based 3D object detection for autonomous driving.
PhD thesis, 2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.
CoRR, 2021

PLUME: Efficient 3D Object Detection from Stereo Images.
CoRR, 2021

PLUMENet: Efficient 3D Object Detection from Stereo Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.
CoRR, 2020

Wasserstein Distances for Stereo Disparity Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
Proceedings of the 8th International Conference on Learning Representations, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.
IEEE Robotics Autom. Lett., 2019

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.
CoRR, 2019

Anytime Stereo Image Depth Estimation on Mobile Devices.
Proceedings of the International Conference on Robotics and Automation, 2019

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vision-only 3D Tracking for Self-Driving Cars.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking.
CoRR, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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