3D perception
"Three Pillars improving Vision Foundation Model Distillation for Lidar." G. Puy, S. Gidaris, A. Boulch, O. Siméoni, C. Sautier, P. Pérez, A. Bursuc, R. Marlet. CVPR, 2024. [Code]
"BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds." C. Sautier, G. Puy, A. Boulch, R. Marlet, V. Lepetit. 3DV, 2024. [Code]
"SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation." B. Michele, A. Boulch, G. Puy, T.-H. Vu, R. Marlet, N. Courty. 3DV, 2024. [Code]
"Using a waffle iron for automotive point cloud semantic segmentation." G. Puy, A. Boulch, R. Marlet. ICCV, 2023. [Code]
"You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation." N. Samet, O. Siméoni, G. Puy, G. Ponimatkin, R. Marlet, V. Lepetit. ICCV, 2023. [Code]
"RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving." A. Ando, S. Gidaris, A. Bursuc, G. Puy, A. Boulch, R. Marlet. CVPR, 2023. [Code]
"ALSO: Automotive lidar self-supervision by occupancy estimation." A. Boulch, C. Sautier, B. Michele, G. Puy, R. Marlet. CVPR, 2023. [Code]
"Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data." C. Sautier, G. Puy, S. Gidaris, A. Boulch, A. Bursuc, R. Marlet. CVPR, 2022. [Code]
"PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds." A. Q. Cao, G. Puy, A. Boulch, R. Marlet. International Conference on Computer Vision (ICCV), 2021. [Code]
"Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud." B. Michele, A. Boulch, G. Puy, M. Bucher, R. Marlet. 3DV, 2021.
"FLOT: Scene Flow on Point Clouds Guided by Optimal Transport." G. Puy, A. Boulch and R. Marlet. European Conference on Computer Vision (ECCV), 2020. [Code]
"FKAConv: Feature-Kernel Alignment for Point Cloud Convolution." A. Boulch, G. Puy, and R. Marlet. Asian Conference on Computer Vision (ACCV), 2020. [Code]