. Developed and improved many state-of-the-art deep learning models CNN, C3D, Siamese Network, Transformer, and YOLO series in Python3 and PyTorch. . Top Achievement : NeighborTrack Che 22, the most accurate single-object tracking method in the world. . Research scope : Computer Vision : Object detection/tracking, Person Re-Identification and Video Stabilization. Projects: Single object tracking 03 2021 I.I.S. Research, Framework:python/pytorch • Designed a post-processing method NeighborTrack[Che+22] to introduce neighbor and temporal information to alleviate the error tracking of single object tracking. • Proved NeighborTrack is the state-of-the-art single-object tracking model as the accuracy on LaSOT is 72.2% AUC, this paper was accepted in cvprw 2023. Project page: https://github.com/franktpmvu/NeighborTrack Multiple object tracking 08 2019 I.I.S. Research, Framework:python/pytorch • Used multi-scale features and non-local net in unknown class multiple object tracking to Improve base method accuracy. • Improved the base model by 1.2x Average Precision (33% to 40%) in MOT17 dataset. Video based fall detection 04 2019 I.I.S. Research, Framework:python/tensorflow • Implemented optical flow features and data augmentation to improve the accuracy of C3D-pelee deep learning network in fall detection tasks. • Increased the accuracy of the basic network, UCF101 dataset from 57.1 to 59.5, MCF dataset from 85.4 to 87.5. Video person Re-ID 04 2018 I.I.S. Research, Team work, Framework:python/tensorflow on embedding system Jetson TX2 • Adapted the mobilenetV2 person ReID system to the embedded system Jetson TX2, which has only 7% of the computing power of the desktop computer GPU RTX 1080TI. • Participated in AISlanders’ Show 2018 and CES 2019. Emotion reading system 06 2016 I.I.S. Research, Framework:python/caffee • Combined face detection and emotion recognition to build a speaker assistance system that captures audience emotions in real time and provides feedback. Video Stabilization[CLS14] 08 2014 Master’s Thesis, Framework:MATLAB • Implemented SIFT feature matching to get the camera movement path and update it to a stable path with content-preserving warping. • Submitted to IIHMSP2014 and won the Excellent paper award. High-Dynamic Range image mapping 05 2013 Senior project, Framework:MATLAB • Developed a MATLAB-based HDR system using histogram equalization and entropy to map an HDR. Camera Automatic Exposure and Automatic White Balance 09 2012 Senior project, Team Leader, Framework: quatus verilog on embedding system DE2-70 • Implemented verilog for an AE and AWB camera system on an FPGA-based embedded system. • Led four students to participate in the FPGA contest held by Altera asia.