CVPR 2023 Tutorial List

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