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Apple Machine Learning Research

Multilingual Knowledge Transfer under Data Constraints via Lexical Interventions Scaling Laws for Mixture Pretraining Under Data Constraints Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs Scaling Categorical Flow Maps Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models Arbitrage: Efficient Reasoning via Advantage-Aware Speculation Locking Pretrained Weights via Deep Low-Rank Residual Distillation DeepAmbigQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness Taming Outlier Tokens in Diffusion Transformers Understanding Alignment in Multimodal LLMs: A Comprehensive Study Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph MoMo: Dial Motion Mode in Robot Manipulation with Spatiotemporal Action Tokenization Memory Efficient Audio Synthesis with Decoupled Temporal Depth Diffusion Transformers GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning Environment-free Synthetic Data Generation for API-Calling Agents Accelerating Text-to-Video Generation with Calibrated Sparse Attention RayRoPE: Projective Ray Positional Encoding for Multi-View Attention LVSum: A Benchmark for Timestamp-Aware Long Video Summarization Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs Show Me Examples: Inferring Visual Concepts from Image Sets Location-Invariant Properties of Functions Versus Properties of Distributions: United in Testing but Separated in Verification Interactive Proofs for General Distribution Properties Doubly Sub-linear Interactive Proofs of Proximity
IEEE/CVF Conference on Computer Vision and Pattern Recogn...
2026-05-28 · via Apple Machine Learning Research

content type eventpublished May 28, 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.

Jump to a section:

  • Schedule
  • Poster Presentations at the Apple Booth
  • Accepted Papers
  • Acknowledgements

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

  • Friday, June 5: 10:00 AM – 6:00 PM
  • Saturday, June 6: 10:00 AM – 6:00 PM
  • Sunday, June 7: 10:00 AM – 3:00 PM

Schedule

Wednesday, June 3

  • AFFINITY EVENT
  • LatinX in Computer Vision (LXCV/LXAI)
  • 8:00 AM - 12:00 PM, Room 106
  • Kriti Goyal, Mohmed Hussein, and Prateek Singhal will be representing Apple at the LXCV/LXAI Mentoring Hour.
  • AFFINITY EVENT
  • Women in Computer Vision (WiCV)
  • 6:00 PM - 8:00 PM, Room 708 (workshop); Mentorship Dinner Offsite
  • Hsin-Ping (Cindy) Huang and Maggie Xiao will be representing Apple at the WiCV Mentorship Dinner.

Thursday, June 4

Friday, June 5

  • SPOTLIGHT POSTER, AWARD CANDIDATE
  • What Matters in Practical Learned Image Compression
  • 4:00 PM - 6:00 PM, Exhibition Hall A & F, Poster Session 2, #457
  • Kedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun, Zhiqi Chen, Ziyun Yang, Sanjay Nair, Divija Hasteer, Oren Rippel

Saturday, June 6

Sunday, June 7

  • ORAL
  • AToken: A Unified Tokenizer For Vision
  • 9:00 AM - 10:15 AM, Four Seasons Ballroom, Oral Session 5B: Generalization and Adaptation
  • Jiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang
  • POSTER
  • AToken: A Unified Tokenizer For Vision
  • 11:45 AM - 1:45 PM, Exhibition Hall F, Poster Session 5, #007
  • Jiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang
  • POSTER
  • DSO: Direct Steering Optimization for Bias Mitigation
  • 11:45 AM - 1:45 PM, Exhibition Hall F, Poster Session 6, #288
  • Lucas Monteiro Paes, Niv Sivakumar, Yinong Wang (Carnegie Mellon University), Masha Fedzechkina Donaldson, Barry Theobald, Luca Zappella, Nick Apostoloff
  • POSTER
  • Learning Long-term Motion Embeddings for Efficient Kinematics Generation
  • 3:30 PM - 5:30 PM, Exhibition Hall A, Poster Session 6, #595
  • Nick Stracke (Ludwig Maximilian University of Munich), Kolja Bauer (Ludwig Maximilian University of Munich), Stefan Andreas Baumann (Ludwig Maximilian University of Munich), Joshua Susskind, Miguel Angel Bautista, Björn Ommer (Ludwig Maximilian University of Munich)

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

AuthorsJiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang

AuthorsColin Lea, Vasileios Baltatzis, Connor Gillis, Raja Kushalnagar†**, Lorna Quandt†**, Leah Findlater

AuthorsLucas Monteiro Paes‡, Nivedha Sivakumar‡, Oliver Wang†‡**, Masha Fedzechkina, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

AuthorsLe Zhang†**, Jihan Yang‡, Soundarya Krishnan, Jimit Majmudar, Xiou Ge, Prasoon Puri, Prathamesh Saraf, Shruti Bhargava, Dhivya Piraviperumal, Yinan Ling, Cindy Pan, Hong Yu, Aishwarya Agrawal†, Bo-Hsiang Tseng

AuthorsNick Stracke†‡, Kolja Bauer†‡, Stefan Andreas Baumann†‡, Miguel Ángel Bautista, Josh Susskind, Björn Ommer†‡

AuthorsYusu Qian, Eli Bocek-Rivele, Liangchen Song, Jialing Tong, Yinfei Yang, Jiasen Lu, Wenze Hu, Zhe Gan

AuthorsDi Feng, Kaixin Ma, Feng Nan, Haofeng Chen, Bohan Zhai, David Griffiths, Mingfei Gao, Zhe Gan, Eshan Verma, Yinfei Yang, Zhifeng Chen, Afshin Dehghan

AuthorsJiatao Gu†, Ying Shen‡**, Tianrong Chen, Laurent Dinh, Yuyang Wang, Miguel Ángel Bautista, David Berthelot, Josh Susskind, Shuangfei Zhai

AuthorsChenhao Zheng†‡, Jieyu Zhang†‡, Jianing Zhang†, Weikai Huang†‡, Ashutosh Kumar§, Quan Kong§, Oncel Tuzel, Chun-Liang Li, Ranjay Krishna†‡

AuthorsRui Tian†, Mingfei Gao§‡, Haiming Gang, Jiasen Lu, Zhe Gan, Yinfei Yang, Zuxuan Wu†§, Afshin Dehghan

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

AuthorsPavan Kumar Anasosalu Vasu*, Cem Koc*, Fartash Faghri*, Chun-Liang Li, Bo Feng, Zhengfeng Lai, Meng Cao, Oncel Tuzel, Hadi Pouransari*

AuthorsKedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun, Zhiqi Chen, Ziyun Yang, Sanjay Nair, Divija Hasteer, Oren Rippel

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.

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