Noa Garcia
@noagarciad.bsky.social
Associate professor at Osaka University.
Working on computer vision, fairness, art.
www.noagarciad.com
Working on computer vision, fairness, art.
www.noagarciad.com
Oh no, so sorry to hear that. We need more empathy in the review system 🫂
November 12, 2025 at 9:43 PM
Oh no, so sorry to hear that. We need more empathy in the review system 🫂
weather > reviews always
November 12, 2025 at 11:28 AM
weather > reviews always
Congratulations! It couldn't have gone any other way
October 29, 2025 at 9:53 PM
Congratulations! It couldn't have gone any other way
You can also find me at the poster sessions presenting these papers!
Our list of papers to be presented at #iccv2025 workshops and main conference. Please come by and say hi!
* Oct 19, STREAM workshop
* Oct 20, Findings workshop
* Oct 21, Poster session 2 id #801
* Oct 22, Poster session 4 id #1572 (highlight)
* Oct 19, STREAM workshop
* Oct 20, Findings workshop
* Oct 21, Poster session 2 id #801
* Oct 22, Poster session 4 id #1572 (highlight)
October 17, 2025 at 11:01 PM
You can also find me at the poster sessions presenting these papers!
I feel you! I guess after iccv it will be full cvpr mode, so powerpoint --> overleaf.
October 17, 2025 at 9:39 AM
I feel you! I guess after iccv it will be full cvpr mode, so powerpoint --> overleaf.
A lot of my work thinks about the impact of our technology. Lately, that's led me to spend a considerable amount time thinking about the military uses of AI and the harm that our algorithms cause in people's lives. It makes it difficult to keep working on AI. If you feel the same, let's talk.
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September 21, 2025 at 12:00 AM
A lot of my work thinks about the impact of our technology. Lately, that's led me to spend a considerable amount time thinking about the military uses of AI and the harm that our algorithms cause in people's lives. It makes it difficult to keep working on AI. If you feel the same, let's talk.
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🐥Fairness🐥
Algorithmic fairness, social bias, stereotype amplification. You name it. It's everywhere: in models, datasets, evaluation practices. We have work on captioning, VQA, datasets, generation, classification. Our latest perspective on image generation 👇
link.springer.com/article/10.1...
6/
Algorithmic fairness, social bias, stereotype amplification. You name it. It's everywhere: in models, datasets, evaluation practices. We have work on captioning, VQA, datasets, generation, classification. Our latest perspective on image generation 👇
link.springer.com/article/10.1...
6/
September 21, 2025 at 12:00 AM
🐥Fairness🐥
Algorithmic fairness, social bias, stereotype amplification. You name it. It's everywhere: in models, datasets, evaluation practices. We have work on captioning, VQA, datasets, generation, classification. Our latest perspective on image generation 👇
link.springer.com/article/10.1...
6/
Algorithmic fairness, social bias, stereotype amplification. You name it. It's everywhere: in models, datasets, evaluation practices. We have work on captioning, VQA, datasets, generation, classification. Our latest perspective on image generation 👇
link.springer.com/article/10.1...
6/
🌸Art🌸
Computer vision for art is fun, but interdisciplinary work is tough. TLDR: problems interesting to computer scientists aren't useful for art historians, and what art historians need doesn't always motivate computer scientists. We try to bridge the gap 👇
bsky.app/profile/noag...
5/
Computer vision for art is fun, but interdisciplinary work is tough. TLDR: problems interesting to computer scientists aren't useful for art historians, and what art historians need doesn't always motivate computer scientists. We try to bridge the gap 👇
bsky.app/profile/noag...
5/
What better time to announce a new paper than during NeurIPS and ACCV?
happy happy happy to introduce NADA, our latest work on object detection in art! 🎨
with amazing collaborators:
@patrick-ramos.bsky.social, @nicaogr.bsky.social, Selina Khan, Yuta Nakashima
happy happy happy to introduce NADA, our latest work on object detection in art! 🎨
with amazing collaborators:
@patrick-ramos.bsky.social, @nicaogr.bsky.social, Selina Khan, Yuta Nakashima
September 21, 2025 at 12:00 AM
🌸Art🌸
Computer vision for art is fun, but interdisciplinary work is tough. TLDR: problems interesting to computer scientists aren't useful for art historians, and what art historians need doesn't always motivate computer scientists. We try to bridge the gap 👇
bsky.app/profile/noag...
5/
Computer vision for art is fun, but interdisciplinary work is tough. TLDR: problems interesting to computer scientists aren't useful for art historians, and what art historians need doesn't always motivate computer scientists. We try to bridge the gap 👇
bsky.app/profile/noag...
5/
✨Representation learning✨
In our last paper (to be presented at #ICCV2025 as a highlight!), we analyzed a ton of visual encoders and found that pretrained VLMs know a lot about cameras. Full thread and link to arxiv here 👇
bsky.app/profile/stoj...
4/
In our last paper (to be presented at #ICCV2025 as a highlight!), we analyzed a ton of visual encoders and found that pretrained VLMs know a lot about cameras. Full thread and link to arxiv here 👇
bsky.app/profile/stoj...
4/
Have you ever asked yourself how much your favorite vision model knows about image capture parameters (e.g., the amount of JPEG compression, the camera model, etc.)? Furthermore, could these parameters influence its semantic recognition abilities?
September 21, 2025 at 12:00 AM
✨Representation learning✨
In our last paper (to be presented at #ICCV2025 as a highlight!), we analyzed a ton of visual encoders and found that pretrained VLMs know a lot about cameras. Full thread and link to arxiv here 👇
bsky.app/profile/stoj...
4/
In our last paper (to be presented at #ICCV2025 as a highlight!), we analyzed a ton of visual encoders and found that pretrained VLMs know a lot about cameras. Full thread and link to arxiv here 👇
bsky.app/profile/stoj...
4/