Areas of Attention for Image Captioning. - Marco Pedersoli; Thomas Lucas 002; Cordelia Schmid; Jakob Verbeek (ICCV, 2017)

Mixed batches and symmetric discriminators for GAN training. - Thomas Lucas 002; Corentin Tallec; Yann Ollivier; Jakob Verbeek (ICML, 2018)

Auxiliary Guided Autoregressive Variational Autoencoders. - Thomas Lucas 002; Jakob Verbeek (ECML/PKDD (1), 2018)

Adaptive Density Estimation for Generative Models. - Thomas Lucas 002; Konstantin Shmelkov; Karteek Alahari; Cordelia Schmid; Jakob Verbeek (NeurIPS, 2019)

Coverage and Quality Driven Training of Generative Image Models. - Konstantin Shmelkov; Thomas Lucas 002; Karteek Alahari; Cordelia Schmid; Jakob Verbeek (CoRR, 2019)

Deep generative models: over-generalisation and mode-dropping. (Modèles génératifs profonds: sur-généralisation et abandon de mode). - Thomas Lucas 002 (2020)

Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images. - Thomas Lucas 002; Philippe Weinzaepfel; Grégory Rogez (AAAI, 2022)

PoseScript: 3D Human Poses from Natural Language. - Ginger Delmas; Philippe Weinzaepfel; Thomas Lucas 002; Francesc Moreno-Noguer; Grégory Rogez (ECCV (6), 2022)

PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting. - Thomas Lucas 002; Fabien Baradel; Philippe Weinzaepfel; Grégory Rogez (ECCV (6), 2022)

Learning Super-Features for Image Retrieval. - Philippe Weinzaepfel; Thomas Lucas 002; Diane Larlus; Yannis Kalantidis (ICLR, 2022)

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion. - Philippe Weinzaepfel; Vincent Leroy 003; Thomas Lucas 002; Romain Brégier; Yohann Cabon; Vaibhav Arora; Leonid Antsfeld; Boris Chidlovskii; Gabriela Csurka; Jérôme Revaud (NeurIPS, 2022)

Improved Cross-view Completion Pre-training for Stereo Matching. - Philippe Weinzaepfel; Vaibhav Arora; Yohann Cabon; Thomas Lucas 002; Romain Brégier; Vincent Leroy 003; Gabriela Csurka; Leonid Antsfeld; Boris Chidlovskii; Jérôme Revaud (CoRR, 2022)

CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. - Philippe Weinzaepfel; Thomas Lucas 002; Vincent Leroy 003; Yohann Cabon; Vaibhav Arora; Romain Brégier; Gabriela Csurka; Leonid Antsfeld; Boris Chidlovskii; Jérôme Revaud (ICCV, 2023)

Purposer: Putting Human Motion Generation in Context. - Nicolas Ugrinovic; Thomas Lucas 002; Fabien Baradel; Philippe Weinzaepfel; Grégory Rogez; Francesc Moreno-Noguer (3DV, 2024)

Cross-View and Cross-Pose Completion for 3D Human Understanding. - Matthieu Armando; Salma Galaaoui; Fabien Baradel; Thomas Lucas 002; Vincent Leroy 003; Romain Brégier; Philippe Weinzaepfel; Grégory Rogez (CVPR, 2024)

T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences. - Taeryung Lee; Fabien Baradel; Thomas Lucas 002; Kyoung Mu Lee; Grégory Rogez (CVPR Workshops, 2024)

Multi-HMR: Multi-person Whole-Body Human Mesh Recovery in a Single Shot. - Fabien Baradel; Matthieu Armando; Salma Galaaoui; Romain Brégier; Philippe Weinzaepfel; Grégory Rogez; Thomas Lucas 002 (ECCV (23), 2024)

UNIC: Universal Classification Models via Multi-teacher Distillation. - Mert Bülent Sariyildiz; Philippe Weinzaepfel; Thomas Lucas 002; Diane Larlus; Yannis Kalantidis (ECCV (4), 2024)

Win-Win: Training High-Resolution Vision Transformers from Two Windows. - Vincent Leroy 003; Jérôme Revaud; Thomas Lucas 002; Philippe Weinzaepfel (ICLR, 2024)

CondiMen: Conditional Multi-Person Mesh Recovery. - Romain Brégier; Fabien Baradel; Thomas Lucas 002; Salma Galaaoui; Matthieu Armando; Philippe Weinzaepfel; Grégory Rogez (CVPR Workshops, 2025)

DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers. - Mert Bülent Sariyildiz; Philippe Weinzaepfel; Thomas Lucas 002; Pau de Jorge; Diane Larlus; Yannis Kalantidis (CVPR, 2025)

PoseScript: Linking 3D Human Poses and Natural Language. - Ginger Delmas; Philippe Weinzaepfel; Thomas Lucas 002; Francesc Moreno-Noguer; Grégory Rogez (IEEE Trans. Pattern Anal. Mach. Intell., 2025)