Baisheng Lai

Orcid: 0009-0003-0785-0294

According to our database1, Baisheng Lai authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
TDSD: Text-Driven Scene-Decoupled Weakly Supervised Video Anomaly Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
OAW-GAN: occlusion-aware warping GAN for unified human video synthesis.
Appl. Intell., 2023

2022
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2022

Online Convolutional Re-parameterization.
CoRR, 2022

Online Convolutional Reparameterization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Graph-Induced Contrastive Learning for Intra-Camera Supervised Person Re-Identification.
IEEE Access, 2021

Towards Precise Intra-camera Supervised Person Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Camera-Aware Proxies for Unsupervised Person Re-Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Generate Content-Aware Dynamic Detectors.
CoRR, 2020

Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction.
IEEE Access, 2020

2018
Deep Active Learning for Video-based Person Re-identification.
CoRR, 2018

Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction.
CoRR, 2018

2017
Saliency Guided End-to-End Learning for Weakly Supervised Object Detection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Guided Depth Upsampling via a Cosparse Analysis Model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014


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