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Daniel Cremers - Self-Supervised Learning for 3D Shape Analysis
Semantify: Simplifying the Control of 3D Morphable Models using CLIP
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
Self Supervised Material and Texture Representation Learning for Remote Sensing Tasks | CVPR 2022
[CVPR 2023] Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
How AI Taught Itself to See [DINOv3]
Exploring the Visual Frontier: Advances in Computer Vision - AI Frontiers 2025-04-30
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
3D aware Self-Supervised Learning for Molecular graphs
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild (CVPR 2021)
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
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Last Updated: October 4, 2026
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Presentation given by Daniel Cremers on 22nd February 2023 in the one world seminar on the mathematics of Project Page - omergral.github.io/Semantify Paper - arxiv.org/abs/2308.07415 Code ... Paper: arxiv.org/abs/1903.02330 Code: github.com/mkocabas/EpipolarPose Training accurate If you have any copyright issues on video, please send us an email at khawar512 Top CV and PR Conferences: ... Authors: Na Zhao, Tat-Seng Chua, Gim Hee Lee Description: The performance of existing point cloud-based This is a short introduction video of our work on " This is the video presentation of "CanonPose: Authors: Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty ...
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