Quentin Bouniot

After three years and a few grey hairs, I am glad to announce that I have successfully defended my PhD in Computer Science, entitled: "Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks". 🥳 #PhDone

Happy to share that we have 3 papers accepted (one oral) at #CVPR2026, see you in Denver! Please see the thread for details👇

2/ Rethinking Concept Bottleneck Models: From Pitfalls to Solutions @merve_tapli , @QBouniot, @WolfStammer, @zeynepakata, @eakbas2 [Paper]: arxiv.org/pdf/2603.05629

Our EML members are heading for Rio🇧🇷 for #ICLR2026! 🌴We’re excited to share our latest research — three poster presentations. Check out the thread below and come say hi to our authors

🎓PhD application season @ExplainableML is back! This year, we’re hiring ONLY through the ELLIS Program and the MCML Program: two fantastic communities shaping the future of AI and ML. 📌Please don’t forget to denote Prof. Dr. Zeynep Akata as one of your preferred supervisors! 👉 Link to ELLIS (ellis.eu/news/ellis-phd…) and MCML (mcml.ai/opportunities/…)

We are looking for PhD students. Please apply through the @ELLISforEurope and @MunichCenterML PhD programs!

Are you at #ICCV2025? 🎉 @ICCVConference EML Munich is presenting two poster papers—come say hi to our authors! Details in the thread 👇

Opening remarks by @robinhesse_ and @sukrutrao for the Explainable computer Vision workshop @ICCVConference. Location: Ballroom A Come and join the conversation of the state of XAI in computer vision!

Two days to go for the eXCV Workshop at #ICCV2025 ! Join us on Sunday from 08:45-17:40 in Ballroom A to hear about the state of XAI research from an exciting lineup of speakers! @Napoolar , @hila_chefer , @davidbau , Deepti Ghadiyaram, Viorica Patraucean, Sharon Li. (1/4)

Are you an XAI researcher attending #ICCV2025? Submit your recently published work — at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI etc. — to the eXCV Workshop for the opportunity to further showcase your work! Published papers can be submitted as is, no rewriting necessary.

Excited to announce a call for papers for our workshop on time series foundation models @NeurIPSConf, with an amazing lineup of speakers. See the post below for more details on where to submit (deadline: 22nd of August).

📢 Present your NeurIPS paper in Europe! Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date: 📅 Dec 2–7, 2025 📍 Copenhagen 🇩🇰 🔗eurips.cc #EurIPS @EurIPSConf

Introducing the speakers for the eXCV workshop @ICCVConference. Get ready for stimulating and insightful talks and discussions. Our Non-proceedings track is still open! Paper submission deadline: July 18, 2025 More info at: excv-workshop.github.io

This project was a collaboration between @ExplainableML (@HelmholtzMunich, @TU_Muenchen) and Paris Noah’s Ark Lab (@Huawei). Thank you to my collaborators @QBouniot, @Vasya2104, @IevgenRedko, and particularly to my advisor @zeynepakata for guiding me through my first PhD project!

How can we circumvent data scarcity in the time series domain? We propose to leverage pretrained ViTs (e.g., CLIP, DINOv2) for time series classification and outperform time series foundation models (TSFMs). 📄 Preprint: arxiv.org/abs/2506.08641 💻 Code: github.com/ExplainableML/…

The submission deadline for the proceedings track is today ! #ICCV2025 @ICCVConference

Submission Deadline is extended by 6 days. #ICCV2025 @ICCVConference

I will be presenting our paper on measuring non-linearity of deep neural networks @CVPR ! 🔗 Project page: qbouniot.github.io/affscore_websi… Come join me on Sunday 15th June from 10:30 to 12:30, ExHall D Poster #402 #CVPR2025

Join us in advancing explainability in the rapidly evolving landscape of AI! We welcome papers on novel explanation methods, scaling existing xAI approaches, innovations for foundational models, and beyond.

Join us in taking stock of the state of the field of explainability in computer vision, at our Workshop on Explainable Computer Vision: Quo Vadis? at #ICCV2025! @ICCVConference @XAI_Research

🎓PhD Spotlight: Leonard Salewski Celebrate @L_Salewski, who will defend his PhD on 24th June! 📸🎉 Leonard has been a PhD student in the EML and @CG_Tuebingen groups at @uni_tue since May 2020. He is part of the IMPRS-IS program (@MPI_IS), jointly supervised by @zeynepakata and Hendrik Lensch. His research centers on explainable and multimodal AI, and can be summarized in three key contributions: 💡 Natural Language Explanations: Developing models, datasets, and benchmarks for generation and evaluation of natural language explanations. 🗣️ Multimodal Learning: Specialized in vision-language and audio-language models. 🧠 LLM Impersonation: Investigating LLM's in-context impersonation ability with its impact on performance and bias in downstream tasks. During his PhD, Leonard broadened his expertise through an internship at @nvidia, working on yet another multimodal challenge—enabling vision-language models to understand and describe actions in popular computer games. 🎮🤖 Join us in celebrating Leonard’s achievements and wishing him the best for his defense and future endeavors! 🥳🎓 👇 Check out his amazing works in this thread🔥