Stanford AI Lab Showcases Research at ICCV 2021
The Stanford Artificial Intelligence Laboratory (SAIL) has announced its contributions to the International Conference on Computer Vision (ICCV) 2021, which is being hosted virtually. The announcement highlights a diverse portfolio of accepted papers covering advanced topics in computer vision and machine learning. Key research includes GLoRIA, a multimodal framework for efficient medical image recognition, and Point-Voxel Diffusion for 3D shape generation. Other notable works feature CAPTRA for category-level pose tracking of articulated objects, methods for detecting human-object relationships in videos using transformers, and Geography-Aware Self-Supervised Learning for remote sensing applications. Additionally, the lab presents HuMoR, a 3D human motion model for robust pose estimation, which received an oral presentation nomination. This collection underscores Stanford's ongoing leadership in AI innovation, offering resources such as paper links, videos, and contact information for researchers interested in these cutting-edge developments in self-supervised learning, generative modeling, and spatial reasoning.
Wire timeline
Stanford AI Lab Showcases Research at ICCV 2021
The Stanford Artificial Intelligence Laboratory (SAIL) has announced its contributions to the International Conference on Computer Vision (ICCV) 2021, which is being hosted virtually. The announcement highlights a diverse portfolio of accepted papers covering advanced topics in computer vision and machine learning. Key research includes GLoRIA, a multimodal framework for efficient medical image recognition, and Point-Voxel Diffusion for 3D shape generation. Other notable works feature CAPTRA for category-level pose tracking of articulated objects, methods for detecting human-object relationships in videos using transformers, and Geography-Aware Self-Supervised Learning for remote sensing applications. Additionally, the lab presents HuMoR, a 3D human motion model for robust pose estimation, which received an oral presentation nomination. This collection underscores Stanford's ongoing leadership in AI innovation, offering resources such as paper links, videos, and contact information for researchers interested in these cutting-edge developments in self-supervised learning, generative modeling, and spatial reasoning.
The Stanford AI Lab Blog