IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Apple is presenting new research at the annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), which takes place in person in Denver at the Colorado Convention Center from June 3 to June 7. We are proud to sponsor the conference, which brings together the scientific and industrial research communities in computer vision and pattern recognition. Below is an overview of Apple’s participation at CVPR 2026.

Stop by the Apple booth (#231) during exhibition hours. All times listed in MDT (local time):

Kriti Goyal, Mohmed Hussein, and Prateek Singhal will be representing Apple at the LXCV/LXAI Mentoring Hour.

Oncel Tuzel will be giving an invited talk during the workshop.

Colin Lea will be giving a keynote talk during the workshop.

Oncel Tuzel and Lu Jiang will be giving invited talks during the workshop.

Hsin-Ping (Cindy) Huang and Maggie Xiao will be representing Apple at the WiCV Mentorship Dinner.

Afshin Dehghan will be giving an invited talk during the workshop.

Sanjoy Chowdhury, Karren D. Yang (Nuance Labs), Chun-Liang Li, Xudong Liu, Fartash Faghri, Pavan Kumar Anasosalu Vasu, Oncel Tuzel, Dinesh Manocha (University of Maryland, College Park), Raviteja Vemulapalli

UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning

Friday, June 5, 10:00 AM – 12:00 PM Pavan Kumar Anasosalu Vasu will present VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models.

Friday, June 5, 2:00 PM – 4:00 PM Byeongjoo Ahn and Jiasen Lu will present AToken: A Unified Tokenizer For Vision. Sanjoy Chowdhury will present AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding.

Saturday, June 6, 10:00 AM – 12:00 PM Jiatao Gu will present STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows.

Saturday, June 6, 2:00 PM – 4:00 PM Rick Chang will present Velox: Learning Representations of 4D Geometry and Appearance. Di Feng will present SO-Bench: A Structural Output Evaluation of Multimodal LLMs.

AuthorsSanjoy Chowdhury†, Karren D. Yang**, Xudong Liu, Fartash Faghri, Pavan Kumar Anasosalu Vasu, Oncel Tuzel, Dinesh Manocha†**, Chun-Liang Li**, Raviteja Vemulapalli

AuthorsAnagh Malik†, Dorian Chan, Xiaoming Zhao, David B. Lindell†, Oncel Tuzel, Jen-Hao Rick Chang

Alex Colburn and Qi Shan are recognized as Outstanding Area Chairs.

Byeongjoo Ahn, Chen Chen, Fartash Faghri, Oncel Tuzel, and Xiaoming Zhao are Area Chairs.

Roman Bachmann is a Workshop Co-Organizer for “Workshop On Any-to-Any Multimodal Learning 2026”.

Jeffrey Bigham is a Workshop Co-Organizer for “VizWiz Grand Challenge Workshop 2026”.

Yingxue Zhou is a Workshop Co-Organizer for “Workshop on Deployment of Foundation Models for Embodied AI 2026”.

Sanjoy Chowdhury, Barry-John Theobald, Santhosh Kumar Ramakrishnan, and Raviteja Vemulapalli are recognized as Outstanding Reviewers.

Vassilis Baltatzis, Rick Chang, Dian Chen, Honor Chen, Di Feng, Peter (Zhe) Fu, Haiming Gang, Mingfei Gao, Kriti Goyal, Amin Karimi Monsefi, Mridul Khurana, Pavan Kumar Anasosalu Vasu, Colin Lea, Xianhang Li, Henry Liu, Xudong Liu, Yongxi Lu, Paul Rötzer, Prateek Singhal, Vasu Singla and Huangjie Zheng are Reviewers.

Related readings and updates.

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.

Apple researchers are advancing the field of ML through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it. This work may lead to advancements in Apple’s products and services, and the benefits of the research extend beyond the Apple ecosystem as it is shared with the broader research community through publication, open source resources, and engagement at industry and…