We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers.
We have one paper accepted to #ECCV2026 (corresponding author). ๐๐๐ & ๐๐ง๐ข๐๐: ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ข๐ฌ๐ฎ๐จ-๐๐ฅ๐๐๐๐ญ๐จ๐ซ๐ฒ ๐๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง๐ฌ ๐
This work on visuo-olfactory representation learning, bringing smell into modern multimodal AI.
8) We hope this work opens a new research direction at the intersection of computer vision and machine olfaction.
Project Page: https://t.co/Ah71QJ1WcU
Paper ๐ : https://t.co/huMuW2zBsi
Dataset ๐พ: https://t.co/t02fvinOzK
Code๐ป: https://t.co/4HogQ31OB2
I have three papers (one first-author and two corresponding-author papers) accepted to #CVPR2026.
These works reflect our continued efforts to push multimodal learning forward through self-supervised computer vision methods that learn from sound and touch: โฌ๏ธ