@www.helmholtz-munich.de and @tumuenchen.bsky.social.
Optimal Transport, Explainability, Robustness, Deep Representation Learning, Computer Vision.
https://qbouniot.github.io/
@iccv.bsky.social
@iccv.bsky.social
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/ExplainableM...
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/ExplainableM...
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
!
🔗 Project page: qbouniot.github.io/affscore_web...
Come join me on Sunday 15th June from 10:30 to 12:30, ExHall D Poster #402 #CVPR2025
!
🔗 Project page: qbouniot.github.io/affscore_web...
Come join me on Sunday 15th June from 10:30 to 12:30, ExHall D Poster #402 #CVPR2025
@iccv.bsky.social
@iccv.bsky.social
A spotlight on our one and only @hummelth.bsky.social , who will defend his PhD on 23rd June! 🎉
Thomas started his PhD in 2020 at @unituebingen.bsky.social as part of the IMPRS-IS program under the supervision of @zeynepakata.bsky.social . 👇 His full story:
A spotlight on our one and only @hummelth.bsky.social , who will defend his PhD on 23rd June! 🎉
Thomas started his PhD in 2020 at @unituebingen.bsky.social as part of the IMPRS-IS program under the supervision of @zeynepakata.bsky.social . 👇 His full story:
We’re thrilled to celebrate Jae Myung Kim, who will defend his PhD on 25th June! 🎉
Jae Myung began his PhD at @unituebingen.bsky.social as part of the ELLIS & IMPRS-IS programs, advised by @zeynepakata.bsky.social and collaborating closely with Cordelia Schmid.
We’re thrilled to celebrate Jae Myung Kim, who will defend his PhD on 25th June! 🎉
Jae Myung began his PhD at @unituebingen.bsky.social as part of the ELLIS & IMPRS-IS programs, advised by @zeynepakata.bsky.social and collaborating closely with Cordelia Schmid.
Our work spans multimodal pre-training, model merging, and more.
📄 Papers & codes: eml-munich.de#publications
See threads for highlights in each paper.
#CVPR
Our work spans multimodal pre-training, model merging, and more.
📄 Papers & codes: eml-munich.de#publications
See threads for highlights in each paper.
#CVPR
We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec!
#NeurIPS2024
We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec!
#NeurIPS2024
So I'm really happy to present our large-scale study at #NeurIPS2024!
Come drop by to talk about all that and more!
So I'm really happy to present our large-scale study at #NeurIPS2024!
Come drop by to talk about all that and more!
Want to join us? Let’s chat at #NeurIPS2024. Help me spread the word!
Want to join us? Let’s chat at #NeurIPS2024. Help me spread the word!