@SimonSchrodi and I will present our joint work, “Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models,” this Thursday as an Oral (top 1.8%) at #ICLR2025!🎉
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Excited to share that our paper, "Open-Ended VQA Benchmarking of Vision-Language Models by Exploiting Classification Datasets and Their Semantic Hierarchy," has been selected as a Spotlight at #ICLR2024! #AI#VLMs
Paper: https://t.co/THV7DtHOTs
Code: https://t.co/T78xHXhPP9
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Excited to present “Climate-sensitive Urban Planning through Optimization of Tree Placements” w/ Ferdinand Briegel, Max Argus, @envmet & @ThomasBrox at the #NeurIPS2023@ClimateChangeAI workshop. Tl;dr: we optimize urban tree locations for improved outdoor human thermal comfort.
#NAS has seen 1000+ papers over the last few years but rarely found new architectures.
In our #NeurIPS2023 paper w/ @DannyStollAI, Robin Ru, @RheaSukthanker, @ThomasBrox & @FrankRHutter, we take a step in that direction and find signs to move beyond usual search spaces!
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Very excited to share our OVAD paper accepted at #CVPR2023 !!!
We introduce an Open-vocabulary Attribute Detection (OVAD) task and the corresponding OVAD benchmark.
Check out the webpage: https://t.co/DXiof1rPfk
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Happy to announce the 𝗥𝗼𝗯𝘂𝘀𝘁 𝗠𝘂𝗹𝘁𝗶-𝘃𝗶𝗲𝘄 𝗗𝗲𝗽𝘁𝗵 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 #3dv2022.
It evaluates robust depth estimation in an open world setting. Code is available for an easy evaluation of your model!
Paper: https://t.co/Rx2P7o7266
Code: https://t.co/5gJFU21k77
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Come check out our poster on June 22 from 2:30-5:00 pm at poster session 2.2, 95b, and have a chat about the paper!
Do you already want to get a sneak peek or cannot attend #CVPR2022? Here's a brief overview: https://t.co/KW3KsR9n1H
Excited that our (updated) paper got accepted to #CVPR2022! My first paper to an international conference!
Thanks to my supervisors @t_saikia@ThomasBrox for their great advice and support!
The Computer Vision Group at the University Freiburg offers hosting computer vision researchers from Ukraine with a doctoral degree under the Philipp Schwartz program of the Humboldt Foundation. If you know someone interested to join our team contact Prof. Thomas Brox. #Ukraine
Today @BehrmannNadine and I present our work "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" at #AAAI2022. If you are interested in contrastive learning, representation learning, OOD or ranking visit our poster in poster session 10.
Ever wondered what to do with ambiguous samples in contrastive learning? Check out the recent #AAAI2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" from @DavidTHoffmann and @BehrmannNadine! https://t.co/EvlV7MVRB9
Excited to share that our paper "You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction" got accepted to #iclr2022. More details to follow...