The International Conference on Computer Vision (ICCV 2021) will be hosted virtually next week. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford! List of Accepted Papers GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition Authors : Mars Huang Contact : mschuang@stanford.edu Keywords : medical image, self-supervised learning, multimodal fusion 3D Shape Generation and Completion Through Point-Voxel Diffusion Authors : Linqi Zhou, Yilun Du, Jiajun Wu Contact : linqizhou@stanford.edu Links: Paper | Video | Website Keywords : diffusion, shape generation CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds Authors : Yijia Weng*, He Wang*, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas Contact : yijiaw@stanford.edu Award nominations: Oral Presentation Links: Paper | Video | Website Keywords : category-level object pose tracking, articulated objects Detecting Human-Object Relationships in Videos Authors : Jingwei Ji, Rishi Desai, Juan Carlos Niebles Contact : jingweij@cs.stanford.edu Links: Paper Keywords : human-object relationships, video, detection, transformer, spatio-temporal reasoning Geography-Aware Self-Supervised Learning Authors : Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David Lobell, Stefano Ermon Contact : kayush@cs.stanford.edu, chenlin@stanford.edu Links: Paper | Website Keywords : self-supervised learning, contrastive learning, remote sensing, spatio-temporal, classification, object detection, segmentation HuMoR: 3D Human Motion Model for Robust Pose Estimation Authors : Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas Guibas Contact : drempe@stanford.edu Award nominations: Oral Presentation Links: Paper | Website Keywords : 3d human pose estimation; 3d human motion; generative modeling Learning Privacy-preserving Optics for Human Pose Estimation Authors : Carlos Hinojosa, Juan Carlos Niebles, Henry Arguello Contact : carlos.hinojosa@saber.uis.edu.co Links: Paper | Website Keywords : computational photography; fairness, accountability, transparency, and ethics in vision; gestures and body pose Learning Temporal Dynamics from Cycles in Narrated Video Authors : Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun Contact : jiajunwu@cs.stanford.edu Links: Paper | Website Keywords : multi-modal learning, cycle consistency, video Vector Neurons: A General Framework for SO(3)-Equivariant Networks Authors : Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas Contact : congyue@stanford.edu Links: Paper | Video | Website Keywords : pointcloud network, rotation equivariance, rotation invariance Neural Radiance for 4D View Synthesis and Video Processing Authors : Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu Contact : jiajunwu@cs.stanford.edu Links: Paper | Website Keywords : 4d representation, neural rendering, video processing Where2Act: From Pixels to Actions for Articulated 3D Objects Authors : Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani Contact : kaichunm@stanford.edu Links: Paper | Website Keywords : 3d computer vision, robotic vision, affordance learning, robot learning Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories Authors : Fait Poms*, Vishnu Sarukkai*, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian Contact : sarukkai@stanford.edu Links: Paper | Blog | Video Keywords : model evaluation, active learning We look forward to seeing you at ICCV 2021!