#ECCV 2026 is just around the corner! I’ll be heading to Malmö, Sweden, to present our work on long and streaming video understanding, QSVideo. @eccvconf@Lannnn_w@VishnuBoddeti
🗓️ Thursday 4:30–6:30 PM 📍 ExHall #233
📄 Paper: https://t.co/4VxzcPXqb1
Arrived at Iceland and enjoyed delicious Elda breakfast. Next stop is Copenhagen. Excited to meet new and old friends at #ECCV2026 Please let me know if you want to grab a coffee or have a quick talk.
Beyond video understanding, my current research focuses on multimodal and LLMs. I’ve been an Applied Scientist at Amazon Personalization since May. If you’ll be at ECCV, I’d love to connect — whether to talk research, industry, or just grab a coffee.
#ECCV 2026 is just around the corner! I’ll be heading to Malmö, Sweden, to present our work on long and streaming video understanding, QSVideo. @eccvconf@Lannnn_w@VishnuBoddeti
🗓️ Thursday 4:30–6:30 PM 📍 ExHall #233
📄 Paper: https://t.co/4VxzcPXqb1
QSVideo is inspired by how humans understand videos. It models semantic relevance, including Object, Action, and Location. It jumps to likely relevant moments, explores nearby evidence, and searches across time.
🎥 Video: https://t.co/6f1V9xQ1i6
🎯 Excited to share that our paper on long and streaming video understanding has been accepted to #ECCV2026!
👏 Special kudos go to my co-author @Lannnn_w and my advisor @VishnuBoddeti. Stay tuned for more details!
✨ Features: 1️⃣ PyTorch training code 2️⃣ Microsoft SEAL FHE inference code (C++) 3️⃣ Seamless pipeline bridging PyTorch → SEAL
CryptoFace enables privacy-preserving face recognition without exposing raw images or features. Check it out and ⭐ the repo if you find it useful!
🚀 We have open-sourced CryptoFace (CVPR 2025)!
🔒 The first end-to-end secure face recognition system on encrypted face images with Fully Homomorphic Encryption (FHE).
👉 Repo: https://t.co/IHC8RxJH2T
📢 16:00-18:00 Today! ExHall D Poster #340 @CVPR 2025.
🎯 It is well known that language can help visual search. Can a generated image help visual search? Our answer is YES.
17:00-19:00 Today! ExHall D Poster #324 @CVPR 2025
CryptoFace is the very first end-to-end secure solution for face recognition. We provide the security for both biometric data and the database.
We just finished the tutorial, Computer Vision over Homomorphic Encrypted Data @CVPR 2025.
All slides are available at https://t.co/JQWIBEKECy. We will release the video soon. Thanks to the audience for coming.
This Saturday, I will give a talk on my CVPR paper at the University of Notre Dame. In pursuing safe artificial intelligence (AI), I will introduce the first end-to-end secure face recognition system enhanced by FHE.
🔉 I have two papers and one tutorial accepted @CVPR Stay tuned! #CVPR2025
🎯 I am actively seeking summer and fall interns. I focus on (1) AI Security enhanced by FHE and SMPC; (2) LLM and multimodal. Please visit: https://t.co/F1Oq745PYA.
DM me if you have any opportunities.
Recently, we open source our solution AutoFHE: https://t.co/SnPjbd0tnu.
We understand the engineering challenges of applying homomorphic encryption to deep learning. Let's work together to make AI and your data safer.