PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. - Anh-Quan Cao; Gilles Puy; Alexandre Boulch; Renaud Marlet (ICCV, 2021)

Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation. - Rong Li; Anh-Quan Cao; Raoul de Charette (BMVC, 2022)

MonoScene: Monocular 3D Semantic Scene Completion. - Anh-Quan Cao; Raoul de Charette (CVPR, 2022)

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation. - Rong Li; Anh-Quan Cao; Raoul de Charette (CoRR, 2022)

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields. - Anh-Quan Cao; Raoul de Charette (ICCV, 2023)

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness. - Anh-Quan Cao; Angela Dai; Raoul de Charette (CVPR, 2024)

Learning Semantics and Geometry for Scene Understanding. (Apprentissage des sémantiques et de la géométrie pour la compréhension des scènes). - Anh-Quan Cao (2024)

LATTECLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts. - Anh-Quan Cao; Maximilian Jaritz; Matthieu Guillaumin; Raoul de Charette; Loris Bazzani (WACV, 2025)

StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets. - Anh-Quan Cao; Ivan Lopes; Raoul de Charette (CoRR, 2025)