Dan Zhang

@isDanZhang

Senior Expert at Bosch Center for Artificial Intelligence (BCAI) @Bosch_AI, leading a Bosch Industry on Campus (IoC) group at University of Tübingen

Baden-Württemberg, Germany

scholar.google.de/citations?user…

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Dan Zhang
@isDanZhang
Oct 11, 2024
Excited and honored to receive Robert Bosch Inventor Award 2024 alongside my dear colleague @anna_khoreva . This achievement wouldn’t have been possible without the support of everyone at @Bosch_AI . Grateful for this recognition and looking forward to more innovation together!
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Dan Zhang
@isDanZhang
Dec 10, 2024
👇checkout our work that greatly improves text annotations of segmentation and object detection datasets. #NeurIPS2024
Haiwen Huang
@HaiwenHuang_
Dec 10, 2024
🔥 Are you ever dissatisfied with the imprecise names in vision-language datasets? 🚀 At #NeurIPS2024, we introduce 𝐑𝐄𝐍𝐎𝐕𝐀𝐓𝐄, showing how better segmentation dataset names lead to 𝐛𝐞𝐭𝐭𝐞𝐫 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧. Let’s dive in! 🧵👇
Dan Zhang
@isDanZhang
Jul 26, 2024
Things change all the time, and we cannot stop that. Check out our poster if you don’t want to keep retraining your deployed models!
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Dan Zhang
@isDanZhang
Mar 21, 2024
Check out our recent work on improving video synthesis, very little extra effort for generating longer and much more dynamic videos using pretrained T2V models.
Yumeng Li
@YumengLi_007
Mar 21, 2024
Thanks @_akhaliq for sharing! VSTAR enables long video synthesis with dynamic visual evolution in a single pass! Using a pretrained T2V model, no finetuning is required! We also analyze temporal attention across models and provide valuable insights. yumengli007.github.io/VSTAR
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Dan Zhang
@isDanZhang
Jan 18, 2024
👇Checkout our paper just accepted at ICLR2024. Adversarial supervision w. multi-denoising step unrolling makes Layout-to-Image diffusion models thrive. 🥳
Yumeng Li
@YumengLi_007
Jan 18, 2024
🚀ALDM is accepted at #ICLR2024 @iclr_conf ! We make layout-to-image diffusion models thrive, by integrating Adversarial Supervision to provide explicit alignment feedback & Multistep Unrolling for consistent adherence! Code & Models are released🤗 yumengli007.github.io/ALDM