Du Tran

🎥 Introducing Split-then-Merge: A new video composition framework! This approach enables the composition of any foreground video with any background video. Unlike conventional methods that rely on annotated datasets or handcrafted rules, Split-then-Merge (StM) splits a large unlabeled corpus of videos into dynamic foreground and background layers, then merges them to learn how dynamic subjects interact with diverse scenes. Work done in collaboration with team members at @Google: Du Tran (@dutran) , Yujia Chen (@IssacCyj) , Prof. Ming-Hsuan Yang (@MingHsuanYang), Vincent Chu: and my advisor at UIUC (@siebelschool): Prof. James M. Rehg (@RehgJim). I will be attending NeurIPS, San Diego and would be happy to chat more! 🔗Project Webpage: split-then-merge.github.io 📄Paper: arxiv.org/abs/2511.20809

We're excited to welcome you to CV4DC workshop at @ICCVConference this Oct 19, 2025 in Honolulu, Hawaii. We'll have a full-day workshop filled with 9 paper presentations and invited talks from leading researchers in CV. Check out the program here: cv4dc.github.io/2025/schedule/

We’re thrilled to have received so many submissions to @cv4dcworkshop at #ICCV2025! 🎉 Huge thanks to everyone for your interest and contributions. Our reviewers are hard at work—notifications coming soon. Stay tuned! 👀

We’ve received great interest in @cv4dcworkshop at @ICCVConference, and we’re giving you a bit more time to submit your work! 🗓️ New submission deadline: July 2, 2024 (AoE) cv4dc.github.io/2025/call-for-… Please help us spread the word! #CV4DC #CV #ML #AIforGood #ICCV2025

We continue the second edition of CV4DC this year at #ICCV2025. CV4DC aims at fostering the community of CV/ML researchers from developing countries or reseachers interested in solving AI problems for developing countries. Please join us at ICCV25 in Hawaii this coming October!