CVPR 2023 Tutorial List
| Name/Authors |
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Object localization for free: Going beyond self-supervised learning Oriane Simeoni · Weidi Xie · Thomas Kipf · Patrick Perez |
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Physics-based rendering and its applications in computational photography and imaging Ioannis Gkioulekas · Adithya Pediredla |
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Recent advances in anomaly detection Guansong Pang · Joey Tianyi Zhou · Radu Tudor Ionescu · Yu Tian · Kihyuk Sohn |
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A Comprehensive Tour and Recent Advancements toward Real-world Visual Geo-Localization Rakesh “Teddy” Kumar · Chen Chen · Mubarak Shah · Han‐Pang Chiu · Sijie Zhu |
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Skull Restoration, Facial Reconstruction and Expression Xin Li · Lan Xu · Yu Ding |
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Rolling Shutter Camera: Modeling, Optimization, Learning, and Hardware Yuchao Dai · Yinqiang Zheng · Bin Fan · Zhihang Zhong · Zhixiang Wan |
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Recent Advances in Visual Domain Adaptation and Generalization Ronghang Zhu · Xiang Yu · Sheng Li |
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Deep Learning Theory for Computer Vision Grigorios Chrysos · Fanghui Liu · Volkan Cevher |
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Knowledge-Driven Vision-Language Encoding Manling Li · Xudong Lin · Jie Lei |
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Reverse Engineering of Deception (RED): Foundations and Applications Sijia Liu · Xiaoming Liu · Xue Lin |
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Multi-Objective Optimization for Deep Learning Vishnu Naresh Boddeti · Zhichao Lu · Qingfu Zhang · and Kalyanmoy Deb |
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All you need to know about self-driving Raquel Urtasun · Sergio Casas · Abbas Sadat · Sivabalan Manivasagam · Paul Spriesterbach · Andrei Barsan |
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Neural Search in Action Yusuke Matsui · Martin Aumuller · Han Xiao |
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Few-shot Learning from Meta-Learning, Statistical Understanding to Applications Yanwei Fu · Da Li · Yu-Xiong Wang · Timothy Hospedales |
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All Things ViTs: Understanding and Interpreting Attention in Vision Hila Chefer · Sayak Paul |
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Full-Stack, GPU-based Acceleration of Deep Learning Maying Shen · Hongxu Yin · Jason Clemons · Pavlo Molchanov · Jose M. Alvarez · Jan Kautz |
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Large-scale Deep Learning Optimization Techniques James Demmel · Yang You |
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Vision Transformer: More is different Dacheng Tao · Qiming Zhang · Yufei Xu · Jing Zhang |
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Boosting Computer Vision Research with OpenMMLab and OpenDataLab Kai Chen · Conghui He · Yanhong Zeng · Songyang Zhang · Wenwei Zhang |
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ML Systems for Large Models and Federated Learning Qirong Ho · Samuel Horvath · Hongyi Wang |
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Trustworthy AI in the Era of Foundation Models Pin-Yu Chen · Chaowei Xiao |
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Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployment JIan Ren · Sergey Tulyakov · Ju Hu |
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Hands-on Egocentric Research with Project Aria from Meta Edward Miller · Pierre Moulon · Prince Gupta · Rawal Khirodkar · Richard Newcombe · Sach Lakhavani · Zhaoyang Lv |
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Contactless Healthcare using Cameras and Wireless Sensors Wenjin Wang · Xuyu Wang · Jun Luo |
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Optics for Better AI: Capturing and Synthesizing Realistic Data for Low-light Enhancement Yinqiang Zheng · Yunhao Zou · Haiyang Jiang · Ying Fu |
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Automatic 3D modeling of indoor structures from panoramic imagery Giovanni Pintore · Marco Agus · Enrico Gobbetti |
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Exploring Synthetic data as an Enterprise Capability for Training and Validating CV Systems Chris Andrews · Matt Robinson · Dan Hedges |
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Recent Advances in Vision Foundation Models Linjie Li · Zhe Gan · Chunyuan Li · Jianwei Yang |
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Hyperbolic Deep Learning in Computer Vision Pascal Mettes · Max van Spengler · Yunhui Guo · Stella Yu |
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Prompting in Vision Kaiyang Zhou · Ziwei Liu · Phillip Isola · Hyojin Bahng · Ludwig Schmidt · Sarah Pratt · Jason Wei |
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Large-Scale Visual Localization Torsten Sattler · Yannis Avrithis · Eric Brachmann · Zuzana Kukelova · Marc Pollefeys · Sudipta Sinha · Giorgos Tolias |
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Denoising Diffusion Models: A Generative Learning Big Bang Jiaming Song · Chenlin Meng · Arash Vahdat |
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Polarization-based Computer Vision Jinwei Ye · Seung-Hwan Baek · Achuta Kadambi · Huaijin Chen |