| When Image Analysis Meets Natural Language Processing: A Case Study in Radiology |
Yifan Peng |
https://bionlplab.github.io/cvpr2021tutorial/ |
Half |
| Vision Meets Mapping 3 (VMM3) – Computer Vision for Location-based Reasoning and Mapping |
Xiang Ma |
https://visionmeetsmapping.github.io/ |
Full |
| Fine-Grained Visual Analysis with Deep Learning |
Xiu-Shen Wei |
https://fgva-cvpr21.github.io/ |
Half |
| End-to-End Big Data AI Pipeline Using Ray and Apache Spark |
Jason Dai |
https://jason-dai.github.io/cvpr2021// |
Half |
| Cross-View and Cross-Modal Visual Geo-Localization |
Rakesh Kumar |
https://www.sri.com/computer-vision/cvpr-2021-tutorial-on-cross-view-and-cross-modal-visual-geo-localization/ |
Half |
| From VQA to VLN: Recent Advances in Vision-and-Language Research |
Qi Wu and Zhe Gan |
https://vqa2vln-tutorial.github.io/ |
Full |
| Computer Vision for Physiological Measurement and Health Care |
Wenjin Wang |
https://sites.google.com/view/cvpr2021tutorial |
Half |
| Deep Learning for Visual Data Compression |
Dong Xu |
https://guolu-home.github.io/cvpr21-tutorial |
Half |
| Normalizing Flows and Invertible Neural Networks in Computer Vision |
Marcus Brubaker |
https://mbrubake.github.io/cvpr2021-nf_in_cv-tutorial/ |
Half |
| Practical Adversarial Robustness in Deep Learning: Problems and Solutions |
Pin-Yu Chen and Dipanjan Sarkar |
https://sites.google.com/view/par-2021 |
Full |
| Tutorial on Fairness Accountability Transparency and Ethics in Computer Vision |
Emily Denton |
https://sites.google.com/view/fatecv-tutorial-2021/ |
Full |
| Computer Vision and beyond: Pattern Recognition for Satellite Images |
Mihai Datcu |
http://ceospacetech.pub.ro/index.php/events-menu/36-conferences/242-cvpr2021-tutorial-datcu |
Half |
| Semantic Segmentation of Point Clouds: a deep learning framework for Cultural Heritage |
Marina Paolanti |
d2ch.dii.univpm.it |
Half |
| Leave those nets alone: advances in self-supervised learning |
Spyros Gidaris |
https://gidariss.github.io/self-supervised-learning-cvpr2021/ |
Half |
| All about self-driving |
Raquel Urtasun |
https://cvpr2021.waabi.ai/ |
Full |
| Interpretable Machine Learning for Computer Vision |
Bolei Zhou |
https://interpretablevision.github.io/ |
Half |
| Learning Representations via Graph-structured Networks |
Xiaolong Wang |
https://xiaolonw.github.io/graphnnv3/ |
Half |
| A Comprehensive Tutorial on Video Modeling |
Yi Zhu |
https://bryanyzhu.github.io/video-cvpr2021/ |
Half |
| Audio-Visual Scene Understanding |
Di Hu |
https://audio-visual-scene-understanding.github.io/ |
Full |
| Normalization Techniques in Deep Learning: Methods, Analyses, and Applications |
Lei Huang |
https://normalization-dnn.github.io/ |
Half |
| Distributed Deep Learning on HPC servers for Large Scale Computer Vision Applications |
Santi Adavani |
https://www.rocketml.net/cvpr/ |
Half |
| Unlocking Creativity with Computer Vision: Representations for Animation, Stylization and Manipulation |
Sergey Tulyakov |
https://snap-research.github.io/representations-for-creativity/ |
Half |
| Adversarial Machine Learning in Computer Vision |
Cihang Xie |
https://advmlincv.github.io/cvpr21-tutorial/ |
Full |
| Data-Efficient Learning in An Imperfect World |
Atlas Wang |
https://vita-group.github.io/cvpr_2021_data_efficient_tutorial.html |
Half |
| OpenMMLab An Open-source Algorithm Platform for Computer Vision |
Kai Chen |
https://openmmlab.com/cvpr2021-tutorial/ |
Half |
| Physics-based differentiable rendering |
Shuang Zhao |
https://diff-render.org |
Half |
| SMPL made Simple |
Michael Black |
https://smpl-made-simple.is.tue.mpg.de |
Full |
| Theory and Application of Energy-Based Generative Models |
Jianwen Xie |
https://energy-based-models.github.io/ |
Half |
| Mobile Visual Analytics |
Tao Chen |
https://embedded-dl-lab.github.io/mobile-visual-analytics/ |
Half |
| New frontiers in data-driven autonomous driving |
Błażej Osiński |
http://self-driving-cars.org/ |
Half |