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Thomas Lucas
Thomas Lucas
Naver Labs
Adresă de e-mail confirmată pe inria.fr - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Areas of attention for image captioning
M Pedersoli, T Lucas, C Schmid, J Verbeek
International Conference on Computer Vision (ICCV), 2017
2292017
Mixed batches and symmetric discriminators for GAN training
T Lucas, C Tallec, J Verbeek, Y Ollivier
International Conference on Machine Learning (ICML), 2018
422018
Adaptive density estimation for generative models
T Lucas, K Shmelkov, K Alahari, C Schmid, J Verbeek
Advances in Neural Information Processing Systems (NeurIPS), 2019
31*2019
Learning Super-Features for Image Retrieval
P Weinzaepfel, T Lucas, D Larlus, Y Kalantidis
International Conference on Learning Representations (ICLR), 2022
242022
Auxiliary guided autoregressive variational autoencoder
T Lucas, J Verbeek
European Conference on Machine Learning (ECML-PKDD), 2018
202018
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
T Lucas, F Baradel, P Weinzaepfel, G Rogez
European Conference on Computer Vision (ECCV), 2022
162022
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
T Lucas, P Weinzaepfel, G Rogez
Conference on artificial intelligence (AAAI), 2021
152021
PoseScript: 3D Human Poses from Natural Language
G Delmas, P Weinzaepfel, T Lucas, MN Francesc, G Rogez
European Conference on Computer Vision (ECCV), 2022
102022
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
P Weinzaepfel, V Leroy, T Lucas, R Brégier, Y Cabon, V Arora, L Antsfeld, ...
Neural Information Processing Systems (NeurIPS), 2022
92022
Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
P Weinzaepfel, T Lucas, V Leroy, Y Cabon, V Arora, R Bregier, G Csurka, ...
arXiv preprint arXiv:2211.10408, 2022
12022
Systems and methods for image retrieval using super features
P Weinzaepfel, T Lucas, D Larlus
US Patent App. 17/581,158, 2023
2023
System and method of semi-supervised learning with few labeled images per class
P Weinzaepfel, G Rogez, T Lucas
US Patent App. 17/708,214, 2023
2023
Deep generative models: over-generalisation and mode-dropping
T Lucas
Thesis manuscript, 2020
2020
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