Maxime Bucher

According to our database1, Maxime Bucher authored at least 13 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Handling new target classes in semantic segmentation with domain adaptation.
Comput. Vis. Image Underst., 2021

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud.
CoRR, 2021

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds.
Proceedings of the International Conference on 3D Vision, 2021

2020
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation.
CoRR, 2020

2019
Zero-Shot Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DADA: Depth-Aware Domain Adaptation in Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Apprentissage et exploitation de représentations sémantiques pour la classification et la recherche d'images. (Learning and exploiting semantic representations for image classification and retrieval).
PhD thesis, 2018

Semantic Bottleneck for Computer Vision Tasks.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Generating Visual Representations for Zero-Shot Classification.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification.
CoRR, 2016

Hard Negative Mining for Metric Learning Based Zero-Shot Classification.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication.
Proceedings of the Computer Vision - ECCV 2016, 2016


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