Research Associate I, Robotics Institute, Carnegie Mellon University
"True scholar is shown by phronesis, not imagination.">
Email: tannhatb@andrew.cmu.edu
Greetings! My name in Vietnamese is Bùi Nhật Tân (裴日新), which typically means daily renewal 🌕 with brightness 🔆 and hope 🍀. I'm affiliated with the Human Sensing Lab, working with Fernando De la Torre, who is truly a mensch and a wonderful advisor!
I was fortunate to receive my M.S. from the University of Arkansas (UARK 🇺🇸), advised by Susan Gauch and Truong Nguyen (UCSD), and my B.S. from the University of Science, VNU-HCM (HCMUS 🇻🇳) and Auckland University of Technology (AUT 🇳🇿), advised by Minh-Triet Tran and Ngoc-Thao Nguyen. I graduated from Le Quy Don High School, the oldest school in Ho Chi Minh City (Saigon).
I'm always happy to chat or collaborate. If you are interested in my research, or even me, feel free to contact me via email :)
Research Keywords: Deep Learning 🧠, Computer Vision 👀, and Multimodal Learning 🎏 with applications in 3D/Video Understanding 🎞️, Spatial Understanding 🛰️, and Vision-Language Actions 🤖.
(* indicates equal contribution)
NeIn: Telling What You Don't Want
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025) SyntaGen
🏆 Best Paper Award
, Dinh-Hieu Hoang, Quoc-Huy Trinh, Minh-Triet Tran, Truong Nguyen, Susan Gauch
TLDR: First Large-Scale Vision-Language Negation Dataset for Text-Guided Image Editing
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
International Symposium on Biomedical Imaging (ISBI 2024)
, Dinh-Hieu Hoang*, Thinh Phan, Minh-Triet Tran, Brijesh Patel, Donald Adjeroh, Ngan Le
TLDR: Time-Spectrogram Fusion with Cross-Attention Mechanism and Prioritizing R-peaks during Inference
SAM3D: Segment Anything Model in Volumetric Medical Images
International Symposium on Biomedical Imaging (ISBI 2024)
, Dinh-Hieu Hoang*, Minh-Triet Tran, Gianfranco Doretto, Donald Adjeroh, ..., Ngan Le
TLDR: Frozen SAM’s Encoder, Stack Output Slice Embeddings, and Decode with a 3D CNN Decoder
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
Winter Conference on Applications of Computer Vision (WACV 2024)
, Dinh-Hieu Hoang, Quang-Thuc Nguyen, Minh-Triet Tran, Ngan Le
TLDR: Laplacian-based Edge Information Fused with Attention Mechanism for UNet Skip Connection