Nhat-Tan Bui

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 have some wonderful friends who always help me in my research journey. All of the people mentioned are those to whom I owe a debt of gratitude.

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 🤖.

Publications

"Research is for curiosity and fun, though practical implications can emerge." - Zhi-Hua Zhou
"Without the love of research, mere knowledge and intelligence cannot make a scientist." - Irène Joliot-Curie
"In the end, when it’s over, all that matters is what you’ve done." - Alexander the Great
"If people do not believe that mathematics is simple, it is only because they do not realize how complicated life is." - John von Neumann

(* indicates equal contribution)

NeIn: Telling What You Don't Want

Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025) SyntaGen

🏆 Best Paper Award

Nhat-Tan Bui, 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

[Paper] [Project Page] [Master's Thesis]

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network

International Symposium on Biomedical Imaging (ISBI 2024)

Nhat-Tan Bui*, 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

[Paper] [Code]

SAM3D: Segment Anything Model in Volumetric Medical Images

International Symposium on Biomedical Imaging (ISBI 2024)

Nhat-Tan Bui*, 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

[Paper] [Code]

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

Winter Conference on Applications of Computer Vision (WACV 2024)

Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen, Minh-Triet Tran, Ngan Le

TLDR: Laplacian-based Edge Information Fused with Attention Mechanism for UNet Skip Connection

[Paper] [Code]

Documents

"What I cannot create, I do not understand." - Richard Feynman

Credits/Misc