Apple sponsored the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), which took place in person from June 18 to 22 in Vancouver, Canada. CVPR is an annual computer vision event comprising the main conference and several co-located workshops and courses. Below was the schedule of our sponsored workshops and events at CVPR 2023.

Schedule

Sunday, July 23

Monday, July 24

Tuesday, July 25

Wednesday, July 26

Thursday, July 27

Friday, July 28

Saturday, July 29

Accepted Papers

Conformalization of Sparse Generalized Linear Models

Etash Guha, Eugene Ndiaye, Xiaoming Huo

DUET: 2D Structured and Approximately Equivariant Representations

Xavi Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

From Robustness to Privacy and Back

Hilal Asi, Jonathan Ullman, Lydia Zakynthinou

Generalization on the Unseen, Logic Reasoning and Degree Curriculum

Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk

Congratulations to the team for receiving the Outstanding Paper Award at ICML 2023.

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Marco Cuturi, Michal Klein, Pierre Ablin

Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime

Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi

Robustness in Multimodal Learning under Train-Test Modality Mismatch

Brandon McKinzie, Vaishaal Shankar, Joseph Cheng, Yinfei Yang, Jonathon Shlens, Alexander Toshev

Stabilizing Transformer Training by Preventing Attention Entropy Collapse

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M Susskind

The Monge Gap: A Regularizer to Learn All Transport Maps

Théo Uscidda, Marco Cuturi

The Role of Entropy and Reconstruction for Multi-View Self-Supervised Learning

Borja Rodríguez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella

UPSCALE: Unconstrained Channel Pruning

Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan

Workshop Accepted Papers

Differentially Private Heavy Hitters using Federated Analytics

Karan Chadha, Junye Chen, John Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar

Population Expansion for Training Language Models with Private Federated Learning

Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis

Demos

Learning Iconic Scenes with Differential Privacy

This demo allows users to browse heat maps of popular locations and histograms of the photos taken at each location. Learn more about the research behind the application by reading the paper, Private Federated Statistics in an Interactive Setting.

Object Capture

Object Capture allows users to generate high‑quality 3D models from a series of photos taken on an iPhone or iPad. Using CVML algorithms, Object Capture can analyze the overlap area between different images to match up landmarks, and then produce a 3D model of a photographed object. These models can then be viewed in AR Quick Look, seamlessly integrated into an Xcode project, or used in professional 3D content workflows.

All CVPR attendees were invited to stop by the Apple booth to experience these demos in person.

Acknowledgements

Samy Bengio is a Senior Area Chair for ICML 2023.

Andy Miller, Ronan Collobert, and Navdeep Jaitly are Area Chairs for ICML 2023.

Sinead Williamson is a Diversity and Inclusion Chair for ICML 2023.

Marco Cuturi is a Communications Chair for ICML 2023.

Tatiana Likhomanenko, Rin Susa, Barry Theobald, Pau Rodriguez, Vimal Thilak, Pierre Ablin, Hilal Asi, Samira Abnar, Chen Huang, Vaishaal Shankar, Miguel Sarabia, Antoine Wehenkel, Agni Kumar, Bogdan Mazoure, Preetum Nakkiran, Rishika Agarwal, Yinfei Yang, Amir Shafiq, Jierui Lin, and Xavi Suau are reviewers for ICML 2023.

Related readings and updates.

Neural Information Processing Systems (NeurIPS) 2024

Apple is presenting new research at the annual conference on Neural Information Processing Systems (NeurIPS), which takes place in person in Vancouver, Canada, from December 10 - 15. We are proud to again sponsor the multi-track interdisciplinary conference, which brings together the scientific and industrial research communities surrounding Machine Learning. Below is an overview of Apple’s participation at NeurIPS 2024.

See event details

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Apple sponsored the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), which took place in person from June 18 to 22 in Vancouver, Canada. CVPR is the annual computer vision event comprising the main conference and several co-located workshops and short courses. Below was the schedule of our sponsored workshops and events at CVPR 2023.

See event details