Robin Hesse
@robinhesse_
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PhD student in explainable AI for computer vision @visinf @TUDarmstadt. Prev. intern @AWS and @maxplanckpress.
Joined July 2022
RT @visinf: Want to learn about how model design choices affect the attribution quality of vision models? Visit our #NeurIPS2024 poster on…
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RT @sherwinbahmani: 📢 Excited to share our new work: AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers https…
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RT @sukrutrao: Our work on transforming existing neural networks to be inherently interpretable has been accepted at #NeurIPS2024! This is…
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RT @Napoolar: 🎭Recent work shows that models’ inductive biases for 'simpler' features may lead to shortcut learning. What do 'simple' vs…
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RT @YGandelsman: After mech int work on vision models and on language models, it’s time to see what’s going on inside VLMs! Not only that t…
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RT @JuliaGrabinski: This year's #ECCV2024 recap: Presented our work w @shashankska on Uspampling ⬆️, our work on infinitely large convoluti…
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RT @dangengdg: What do you see in these images? These are called hybrid images, originally proposed by Aude Oliva et al. They change appea…
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Thanks to all the speakers for the exciting talks and all the authors for their interesting posters! It was a pleasure to have such a great program.
Thank you for the excellent workshop and for giving us the opportunity to talk about our work! It's really valuable to discuss HCI papers at CV/ML conferences and vice versa. Cheers to cross-pollination of perspectives 🐝🌼 @eccvconf #ECCV2024 @XAI_Research
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RT @YGandelsman: Excited to give a talk about interpretability via reverse engineering tmrw at @eccvconf!
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RT @sukrutrao: Less than three days to go for the eXCV Workshop at #ECCV2024! Join us on Sunday from 14:00-18:00 in Brown 1 to hear about t…
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RT @visinf: 🏔️🇨🇭"Grüezi" from our summer retreat in the Swiss mountains. It’s been a fantastic week filled with research discussions, hikes…
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RT @sukrutrao: Notifications of decisions have now been sent to authors of all submissions. Congratulations to all the authors whose papers…
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RT @sukrutrao: Share your latest published work for explainability in computer vision at our workshop at #ECCV2024! Submit to our Non-Proce…
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RT @sukrutrao: The 1st workshop on “Explainable Computer Vision: Where are We and Where are We Going?” at #ECCV2024 is accepting submission…
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Topics include: - Attribution maps - Evaluating XAI methods - Intrinsically explainable models - Mechanistic interpretability - XAI beyond classification We also have a Non-Proceedings / Nectar Track to highlight already published works! 2/2
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