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Thomas Lucas
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2020 – today
- 2022
- [b2]Thomas Lucas:
Mono-Replay, une application pour animer la musique sur support: conception, développement et évaluation. (Mono-Replay, an application for digitized sound animation: design, development and evaluation). Sorbonne University, Paris, France, 2022 - [c8]Thomas Lucas, Philippe Weinzaepfel, Grégory Rogez:
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images. AAAI 2022: 1881-1889 - [c7]Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, Grégory Rogez:
PoseScript: 3D Human Poses from Natural Language. ECCV (6) 2022: 346-362 - [c6]Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, Grégory Rogez:
PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting. ECCV (6) 2022: 417-435 - [c5]Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis:
Learning Super-Features for Image Retrieval. ICLR 2022 - [i10]Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis:
Learning Super-Features for Image Retrieval. CoRR abs/2201.13182 (2022) - [i9]Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, Grégory Rogez:
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting. CoRR abs/2210.10542 (2022) - [i8]Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain Brégier, Yohann Cabon, Vaibhav Arora, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, Jérôme Revaud:
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion. CoRR abs/2210.10716 (2022) - [i7]Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, Grégory Rogez:
PoseScript: 3D Human Poses from Natural Language. CoRR abs/2210.11795 (2022) - [i6]Philippe Weinzaepfel, Vaibhav Arora, Yohann Cabon, Thomas Lucas, Romain Brégier, Vincent Leroy, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, Jérôme Revaud:
Improved Cross-view Completion Pre-training for Stereo Matching. CoRR abs/2211.10408 (2022) - 2021
- [i5]Thomas Lucas, Philippe Weinzaepfel, Grégory Rogez:
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images. CoRR abs/2112.12004 (2021) - 2020
- [b1]Thomas Lucas:
Deep generative models: over-generalisation and mode-dropping. (Modèles génératifs profonds: sur-généralisation et abandon de mode). Grenoble Alpes University, France, 2020
2010 – 2019
- 2019
- [c4]Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Adaptive Density Estimation for Generative Models. NeurIPS 2019: 11993-12003 - [i4]Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Coverage and Quality Driven Training of Generative Image Models. CoRR abs/1901.01091 (2019) - 2018
- [j1]Victor Wiley, Thomas Lucas:
Decision Support System of discount Pricing Analysis using the method of Elimination et choix Traduisant la Realité (ELECTRE). Comput. Sci. 19(1) (2018) - [c3]Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek:
Mixed batches and symmetric discriminators for GAN training. ICML 2018: 2850-2859 - [c2]Thomas Lucas, Jakob Verbeek:
Auxiliary Guided Autoregressive Variational Autoencoders. ECML/PKDD (1) 2018: 443-458 - [i3]Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier:
Mixed batches and symmetric discriminators for GAN training. CoRR abs/1806.07185 (2018) - 2017
- [c1]Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. ICCV 2017: 1251-1259 - [i2]Thomas Lucas, Jakob Verbeek:
Auxiliary Guided Autoregressive Variational Autoencoders. CoRR abs/1711.11479 (2017) - 2016
- [i1]Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. CoRR abs/1612.01033 (2016)
Coauthor Index

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last updated on 2022-11-25 20:58 CET by the dblp team
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