ICCV 2025 🌺 Aloha from Hawaii! MPI-INF (D2) is presenting 4 papers this year (one Highlight). Thread 👇

Heading to #ICCV2025? Don’t miss #CV4DC — Oct 19, Honolulu 🌺 An in-person workshop spotlighting research for/with developing regions. See exciting keynote talks from leading researches! See accepted papers & posters here: cv4dc.github.io/2025/ #AI4Good

🌟Here are some resources and notes about doing research that I’ve been compiling since I started my PhD.🌟 I rely on these often, and after sharing them with a few folks in my group who found them useful, I thought it could be of use to the broader community 🧵👇 (1/n)

⏳Still need to wait for your last experiment results? 📣 We're pleased to announce that the deadline for non-proceeding track #CV4DC at @iccv.bsky.social has been extended to August 15, 2025 Looking forward to your submissions! cv4dc.github.io/2025/

#ICML2025 Stats

Papers being presented from our group at #ICML2025! Congratulations to all the authors! To know more, visit us in the poster sessions! A 🧵with more details: @icmlconf.bsky.social @mpi-inf.mpg.de

📣 Proceeding track's results are out. 🎉 Congratulations to all the authors whose papers were accepted. We can't wait to meet you at @iccv.bsky.social in Hawaii on Oct 19th. ⏰ Our non-proceeding track is still accepting submissions until July 20th! Details in the comments

Porto, Portugal 🇵🇹 June-July 2025 One of the prettiest and liveliest cities I’ve traveled to ✨ 🚤

🚨More tiny experiments that seem benign: linear probing on frozen features (but again not explicitly making BatchNorm params to .eval) can have big implications. Best test accuracy: 71.20% at Epoch 10, for Learning Rate = 0.01 Makes a hell of a lot of difference! Almost 10% 🚨

Seemingly innocuous error that I see students making time and again: model.eval() or param.eval() for models with norm layers (like batch-norm) is critical. Especially when freezing ❄️ certain layers and training rest.

Classic fM is a gem to listen to great ensembles of classical music, and also get to experience the old-school radio fM vibes ✨ www.globalplayer.com

🎉 Exciting News #CVPR2025! We’re proud to announce that we have 5 papers accepted to the main conference and 7 papers accepted at various CVPR workshops this year! We’re looking forward to sharing our research with the community in Nashville! Stay tuned for more details! ‪‪@mpi-inf.mpg.de‬

Had my older MTB catching dust in the bike room, took 2 hours to replace both tyres and tubes with brand new ones, new brakes, and chain cleaned + greased. 💥 Pretty relaxing and a nice rejuvinating break from research✨ P.S.: Once you are used to driving road bikes, MTBs seem too slow 🤪

Wow 🤯

Had a great time presenting our work at ICLR 2025 in Singapore 🇸🇬. Lot of great interactions, meeting amazing people and a very well organised conference 🌟. It was great to catch up with old colleagues and meet new folks. For more detail see: arxiv.org/abs/2503.00641

🚀 I will be @iclr_conf in Singapore next week presenting our recent work. We answer how exactly does "What you explain depend on how you train". 🤓 We will be @ Hall 3 + Hall 2B #492 (26th April, 3PM - 5:30 PM) Please reach out via dm if interestd in a chat or ☕️ #ICLR2025

Congratulations to Max Losch for successfully defending his PhD! 🥳🎉🎓 In his thesis, "Improving Trustworthiness of Deep Learning via Inspectable and Robust Representations", he explores transparency and robustness of deep networks. We wish him the best!

Reminder that semantic segmentation evaluation numbers are dependent on the image resolution…but less than one may think (see 4x and 8x downsampling results. Source: “Fully Convolutional Networks for Semantic Segmentation” arxiv.org/abs/1411.403...

Hello world, we are now on Bluesky 🦋! Follow us to receive updates on exciting research and projects from our group! #computervision #machinelearning #research

Spring beckons ☀️🪻

Morning run 🏃🏻‍♂️ ☀️

So far, 2,135 people have responded to the poll Søren and I posted a few days ago. Of those, 94.4% replied “Yes” to being interested in officially presenting accepted @neuripsconf.bsky.social papers in Europe. (1/7)

With systems like PaperBench -the reproducibility tracks at conferences will now also have AI participants 😃😉 Infact, (soonish) the reviewing process could be supported with pipelines that can authenticate claims and results made in papers. 🤓 openai.com/index/paperb...

New blog is up - sidgairo18.bearblog.dev Aiming to write more, both technical pieces and prose. 🤓✍️

Just listened to the second episode of Marloes ten Kate's "How to present science" podcast. Very interesting insights, how to deliver the key message in the beginning to increase engagement as well as into the ABT model. (Although the Tesla references did not age well) (1/2) open.spotify.com/epi...

Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)

🧑‍🚒Weekend hack: built a tiny U-Net based diffusion model for image generation (more so for understanding how the heck these things work). Currently works on MNIST and CIFAR-10. Slowly, will scale the architecture, and training for more complex data. github.com/sidgairo18/s...

Pleasantly surprised by this year’s #ICCV2025 reviewer-paper allocation. Capped at just 2 per reviewer - which drastically reduces load per reviewer and hoping leads to higher quality reviews. Kudos, to the effort from all the chairs and people behind this. 🔥

The bridge(s) of Saar ✨

🚀SmartKC++: Improving Performance of Smartphone-Based Corneal Topographers @ WACV'25 A follow-up to the original SmartKC with improved & robust image processing 💥 With V Ganatra, M Jain, N Kwatra, Dr. K Murali, & others at MSRI + Sankara. #healthcare #hci #vision

Saarbrücken riverside 🚴‍♂️

Neat!

🚀Intriguing Applications and Overlooked Pitfalls of XAI in Visual Models The slides for a talk I had given at the Group of Machine Learning Research (GMUM) Workshop, Jagiellonian University in October, 2024 are now up. ✨ Slides: sidgairo18.github.io/misc_resourc... #XAI #ML #CV #research

🚀 As promised, the arXiv manuscript and code, for our ICLR 2025 work - How To Probe: Simple Yet Effective Techniques for Improving Post-Hoc Explanations are now out! arXiv 📜: arxiv.org/abs/2503.00641 Code 💻: github.com/sidgairo18/h... #ICLR2025 #arxiv

Submit your latest work (papers, demos) in #XAI to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop at #CVPR2025! Details: xai4cv.github.io/workshop_cvp... Submission Site: cmt3.research.microsoft.com/XAI4CV2025 @cvprconference.bsky.social @xai-research.bsky.social

Who is ready to eat yummy food! #ICLR2025 #Singapore

Our beginner's oriented accessible introduction to modern deep RL is now published in Foundations and Trends in Optimization. It is a great entry to the field if you want to jumpstart into RL! @bernhard-jaeger.bsky.social www.nowpublishers.com/article/Deta... arxiv.org/abs/2312.08365

Revisiting this 7 years later. 💯- Mark Manson

Aiming to be more consistent with outdoor running 🏃🏻‍♂️ and cycling 🚴🏻. I have been weight training consistently for the past 2 years; but a consistent cardio training routine has been lacking. VO2 Max is currently at 50. Will be tracking and updating here as I make progress.

New artwork at home 🖼️ ✨ @ Dehradun ❤️

Peaceful night = pure entertainment ✨ #pixelart #art

Auf wiedersehen Wien (Vienna) 🇦🇹 👋🏼. Had a great 6 months at IST-Austria visiting Prof. @locatelf.bsky.social at the CLAI Group (ista.ac.at/en/research/...). Now back to Saarbrücken 🇩🇪

New paper about pictures: I identify trends in geometric perspective in my own drawings and photos, and compare them to how the original scenes looked. I discuss what these trends might say about art history and vision science. Published in _Art & Perception_. #visionscience psyarxiv.com/pq8nb

🚨Note to #CVPR2025 Reviewers, ACs, PCs 🚨 @cvprconference.bsky.social Reg. No Code - "There is NO mandatory requirement by the CVPR 2025 guidelines (cvpr.thecvf.com/Conferences/...) that the authors should submit code." Thus, as a reviewer we should not negatively penalise the authors for this. 1/n

New hack I’ve found to catching up on my piles of research paper reading / literature review is to use NotebookLM to summarise 2-3 papers tackling a similar problem as a short podcast. Listening to these when on a walk, is a good way to get your steps in and do research. 🤓

What is more amazing is the take-away message it summarises - “Explainable AI is not an after thought. It’s not a box we check after the fact. It’s a fundamental principle that needs to be embedded in every stage of AI development.” 🤓 #XAI

Very cool podcast style summary of our work "How to Probe" @iclr-conf.bsky.social by NotebookLM. Pleasantly surprised by the interesting insights provided in the audio summary. 🤓💻 youtu.be/9jEgT5WWFVc P.S.: OpenReview Paper Pdf: openreview.net/pdf?id=57Nfy... #ICLR2025 #NotebookLM

“\looseness=-1” latex command is a game changer. 🤓 #CVPR2025 #ICML2025