Louis-Antoine Blais-Morin

According to our database1, Louis-Antoine Blais-Morin authored at least 14 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Incremental multi-target domain adaptation for object detection with efficient domain transfer.
Pattern Recognit., 2022

Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking.
Proceedings of the International Joint Conference on Neural Networks, 2022

Generative Target Update for Adaptive Siamese Tracking.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021
Knowledge distillation methods for efficient unsupervised adaptation across multiple domains.
Image Vis. Comput., 2021

Flow guided mutual attention for person re-identification.
Image Vis. Comput., 2021

Holistic Guidance for Occluded Person Re-Identification.
CoRR, 2021

Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Holistic Guidance for Occluded Person Re-Identification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Flow-Guided Attention Networks for Video-Based Person Re-Identification.
CoRR, 2020

Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Progressive Gradient Pruning for Classification, Detection and Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning.
CoRR, 2019

On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2017
A comparison of CNN-based face and head detectors for real-time video surveillance applications.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017


  Loading...