CV

1. Huan-Cheng Hsu
Huan-Cheng Hsu
email:tonihs@gmail.com; cell: +886-909-197-310;
Objective
Full time related to deep learning and computer vision.
Key words: machine learning, deep learning, person re-identification, object detection and tracking, image retargeting,
image and video copy detection
Professional Experience
 Research Assistant, Multimedia Technology lab, Academia Sinica Nov 2013 – Current
Supervised by Dr. Hong-Yuan Mark Liao (Distinguished Research Fellow)
Job description: research and develop computer vision algorithm.
Currently working on an ongoing project which uses deep learning to match target person(s) grabbed from
different and non-overlapping camera views.
 Software Engineer, Genesys Logic, Inc. Jul 2012 – Oct 2013
Card reader installation package, QA software toll and driver for USB3.0
Projects
• Hierarchical Cross Network for Person Re-identification (https://arxiv.org/pdf/1712.06820.pdf)
Demo video: https://youtu.be/7TGpS1_psJ4
Project description: Person re-identification (person re-ID) plays an important role for public safety and has
application in various tasks such as, human retrieval, human tracking, and activity analysis. In this work, we
propose a new network architecture called Hierarchical Cross Network to perform person re-ID which
outperformed several state-of-the-art methods.
• Intermediate Inception Network for Person Re-identification
Project description: The idea of Inception modules is to make cross-channel correlations and spatial correlations
easier. To make this process to an efficient use, In this work we modify Inception closer to a depthwise
separable convolution. Experiment results show that the proposed method gains more 0.7% improvement on
rank-1 compared with the state-of-the-art method.
• Image and Video Copy Detection by Sparse Representation (Published at ACM MM2012)
Project description: Image copy detection is an art of searching duplicates from a target database. Inspired by the
recent study of sparsity in the context of compressed sensing, we propose a sparse representation-based
image copy detection method which outperformed the state-of-the-art method on both the accuracy and
computation time(more than 10 times).
• Social Groups Detection
• Infer Relationship in Social Network by Image
• Image Retargeting with Personal Saliency Map
Education
M.S. in Graduate Institute of Networking and Multimedia, National Chung Hsing University Jun12
Publication
H.C Hsu, C.H Chen, H.R Tyan, H.Y Mark Liao “Hierarchical Cross Network for Person Re-Identification”, submitted to
ICME2018
Huan-Cheng Hsu, Chun-Shien Lu, Chun-Rong Huang “Sparsity Cue for Image Copy Detection ", ACM MM 2012