Join us on June 4, 8:30AM–12:30PM, Room 4CD, for the 2nd Personalization in Generative AI Workshop (P13N) at @CVPR! #CVPR2026#P13N
Talks, posters & a panel on the future of generative AI systems that adapt to users' preferences, identities & contexts!
(2/2) Join us in Seoul! 🇰🇷 We’re looking for submissions on long-context modeling, interactive control, and trustworthy evaluation.
📅 Paper Deadline: April 30, 2026 (AoE)
🔗 Details: https://t.co/tOZMpqwxZr
Can't wait to see your work! 🚀 #ICML2026#GenerativeAI#VideoGen
(1/2) Excited to be part of the team bringing "From Frames to Stories (F2S)" to @ICMLConf 2026! 🎬
We’re diving deep into the future of long-horizon video generation, moving beyond short clips to reliable, controllable storytelling. 🤖📹
We invite submissions to the ICML 2026 Workshop
From Frames to Stories (F2S): Toward Reliable, Controllable and Trustworthy Long-Horizon Video Generation.
The workshop aims to bring together researchers to advance long-horizon video generation, with a focus on long-context modeling, state representation, interactive control, and trustworthy evaluation.
We welcome submissions of recent work in related areas, including both published and unpublished papers.
For more details, please visit: https://t.co/04mSGcAXTl
Personalized AI is taking over #CVPR2026! 🚀
Don't miss the 2nd #P13N Workshop. We are officially accepting archival submissions! 📑
📌 Archival Deadline: March 23
🎙️ Featuring an outstanding lineup of guest speakers and experts in the field.
🔗 https://t.co/YPuvozSNfT
📢 The second Personalization Workshop: P13N, this time at @CVPR! We’re honored to host an outstanding speaker lineup, including @AbermanKfir@natanielruizg@OPatashnik and many more! https://t.co/CIEvEe7u2O #CVPR2026
Diffusion model attention isn’t just for generation, it hides rich grounding cues.
RefAM turns noise sinks into signal amplifiers with zero retraining.
🌐 Paper + project page:
📄 https://t.co/BkWwVzGHs2
💻 https://t.co/eYv4dgFtaJ
🚀 Excited to share our new work RefAM: Attention Magnets for Zero-Shot Referral Segmentation, a training-free approach that turns diffusion model attentions into segmentations.
By @anna_kukleva_, me, Alessio Tonioni, @ferjadnaeem, @fedassa, @janericlenssen, Bernt Schiele
🔄 Our UIP2P paper is accepted to @ICCVConference.
📍 Exhibit Hall I #1750
🗓️ Wed, Oct 22 | 14:30–16:30 HST
@fedassa and I will be at the poster. Visit us to discuss unsupervised instruction-based image editing 🙌🏻
ICCV decisions are out — if your paper didn’t make it, don’t worry! Submit your work to the P13N Workshop instead! Let’s push the frontier of personalized generative AI together!💡 #ICCV2025#P13NWorkshop#Personalization@ICCVConference
More info: https://t.co/CIEvEe81Sm
Excited to share that our paper, LoRACLR, has been accepted to #CVPR2025! 🎉
Huge thanks to my amazing advisors @THofmann2017, @fedassa, and @PINguAR for their guidance. Looking forward to presenting in Nashville—see you there!
🚀 Update: Our work LIME was presented as an oral at #WACV2025! 🎤
Missed it? No worries—join us at our poster session to discuss how LIME enables precise image editing without extra inputs or retraining!
(Details in the next tweet ⬇️)
🌟 Excited to present LIME, localized image editing via cross-attention regularization without extra data, re-training, or fine-tuning!
Collaboration with Alessio Tonioni, @xyongqin, Thomas Hofmann, @fedassa
📄 Paper: https://t.co/R7zP0xc3LE
🔗 Project: https://t.co/JMuhexRDRs