News
2025
🎉 Exciting update from the U.S. 🇺🇸 Member of our ACM Lab, Van-Tin Luu, is currently attending CVPR 2025 in Nashville to present our research work: “RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network” 💪✨
As noticed before, “Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models”, has been accepted at ICLR 2025. Our team attended the conference in Singapore to show our work and connect with researchers worldwide. We’re grateful for the feedback and discussions, and we look forward to future collaborations!
To welcome new members to the lab and reconnect with our alumni, we hosted a casual get-together filled with good food and great conversations. Over dinner, current students had the chance to introduce themselves, learn more about the lab’s culture, and hear inspiring stories and experiences from our alumni. It was a wonderful evening to build connections, share advice, and celebrate our growing community.
2024
Our laboratory comes together for a Christmas gift exchange party. It’s a wonderful tradition that brings us closer, as we share thoughtful gifts, laughter, and holiday cheer. The celebration is more than just exchanging presents—it’s a chance to strengthen our connections, create joyful memories, and embrace the true spirit of the season.
As the winter solstice approaches, the 2024 Fall semester is coming to an end. To celebrate this occasion, our lab held an intimate party to thank all the members for their hard work during the past semester. Here are some fun moments captured during the party:
Our lab members attend ACM Multimedia 2024 with the work “TimeNeRF: Building Generalizable Neural Radiance Fields across Time from Few-Shot Input Views”.
Professor and our lab members attend ICIP 2024 with three works: Lipface: Lipschitz-Conditioned for Resolution Robus Face Recognition Aerial view river landform video segmentation: A weakly supervised context-aware temporal consistency distillation approach Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
Our lab members with the work “DetailSemNet: Elevating Signature Verification with Captured Details and Semantics by Feature Disentanglement and Re-entanglement”.