An Tran

An Tran
Tran Lam An, Trần Lâm Ẩn
~~PhD Candidate~~ Computer Vision researcher
Email : an.tran [at] u.nus.edu
Google Scholar, Github, LinkedIn, Twitter.

The pinnacle of TECHNOLOGY is INNOVATION, that of SCIENCE is DISCOVERY, and more importantly that of EDUCATION is HUMANITY. Du Tran, June 2011.

Bio

Now, I am a Computer Vision researcher at AIQ, Singapore. I have finished my PhD study in ECE at NUS. My advisors are Cheong Loong-Fah and Qi Zhao. I did my bachelor of Computer Engineering in CSE at HCMUT.

News

12-10-2020: One paper has been accepted in ACMMM SUMAC 2020
13-12-2017: I moved to AIQ as a Computer Vision researcher
21-08-2017: One paper has been accepted in ICCVW 2017
11-10-2015: One paper has been accepted in ICCV 2015
11-10-2015: My homepage on github launched!

Research

My general interests are in the fields of computer vision, machine learning and heterogeneous computing. Currently, my research focus is on action recognition, learning video representations and deep learning.

PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training
An Tran, Ali Zonoozi, Jagannadan Varadarajan, and Hannes Kruppa
ACM Multimedia Workshop (SUMAC), 2020
[ Arxiv ] [ BibTex ] [ Code ] [ Video ]
An efficient deep learning methods for mapping using OSM data.

Two-stream Flow-guided Convolutional Attention Networks for Action Recognition
An Tran, and Cheong Loong-Fah
International Conference of Computer Vision Workshop (ICCVW), 2017
[ Arxiv ] [ Poster ] [ Supplementary Material ] [ BibTex ] [ Code ]
A new perspective of two-stream CNN with compensated optical flows.

Actionness-assisted Recognition of Actions
Ye Luo, Cheong Loong-Fah, and An Tran
International Conference of Computer Vision (ICCV), 2015
[ Paper ] [ BibTex ] [ Project Page ]

Challenges and Notebook Papers

NUS Submission to ActivityNet Challenge 2017: Evaluating frame-based and spatio-temporal CNN features for video classification
An Tran and Cheong Loong-Fah
ActivityNet Large Scale Activity Recognition Challenge, in conjuction with CVPR, 2017.
[ PDF ]

Recent Talks

May-2016: Actionness-assisted Recognition of Actions, Graduate Student Symposium (GSS), NUS, Singapore.
Dec-2015: How to start doing research in Deep Learning, Singapore GPU Users Meetup.

Teaching

Graduate Assistant for

EE2024, Programming for Computer Interfaces ( Spring 2013 - Fall 2015 ).

Misc.

On pleasure time, I usually read, watch and hopefully contribute to open source projects (e.g. OpenCV, Caffe).