Thomas Lucas

Affiliations:
  • Grenoble Alpes University, France (PhD 2020)


According to our database1, Thomas Lucas authored at least 16 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot.
CoRR, 2024

2023
Cross-view and Cross-pose Completion for 3D Human Understanding.
CoRR, 2023

Win-Win: Training High-Resolution Vision Transformers from Two Windows.
CoRR, 2023

CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Improved Cross-view Completion Pre-training for Stereo Matching.
CoRR, 2022

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Super-Features for Image Retrieval.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting.
Proceedings of the Computer Vision - ECCV 2022, 2022

PoseScript: 3D Human Poses from Natural Language.
Proceedings of the Computer Vision - ECCV 2022, 2022

Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Deep generative models: over-generalisation and mode-dropping. (Modèles génératifs profonds: sur-généralisation et abandon de mode).
PhD thesis, 2020

2019
Coverage and Quality Driven Training of Generative Image Models.
CoRR, 2019

Adaptive Density Estimation for Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Auxiliary Guided Autoregressive Variational Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Mixed batches and symmetric discriminators for GAN training.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Areas of Attention for Image Captioning.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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