Kuo-Hao Zeng

News: A Paper accepted to CVPR 2017 as spotlight presentation!

About me

I am a visiting student working with Dr. Juan Carlos Niebles at Stanford AI Lab. Before visiting, I was a graduated student supervised by Prof. Min Sun at National Tsing Hua University, majoring in Electrical Engineering. I am interesting in Computer Vision and Machine Learning, especially in Deep Learning.

My recent projects focus on video forecasting, visual-language understanding, and causality comprehension in the video. I've been researched on video highlight detection, video captioning, video title generation, and video question answering.

Sept. 16 - present    Sept. 14 - present    July. 14 - Sept. 14    Sept. 10 - June. 14    July. 13 - Aug. 13

My CV [PDF], last updated March 2017.

Publication

 Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization 
 Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan, Juan Carlos Niebles, Min Sun
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
 [arXiv]

 Leveraging Video Descriptions to Learn Video Question Answering
 Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun
 The Association for the Advancement of Artificial Intelligence (AAAI), 2017
 Title Generation for User Generated Videos
 Kuo-Hao Zeng, Tseng-Hung Chen, Juan Carlos Niebles, Min Sun
 European Conference on Computer Vision (ECCV), 2016
 Video Captioning via Sentence Augmentation and Spatio-Temporal Attention
 Tseng-Hung Chen, Kuo-Hao Zeng, Wan-Ting Hsu, Min Sun
 Asian Conference on Computer Vision Workshop (ACCV Workshop), 2016
 [pdf]

 Semantic Highlight Retrieval
 Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun
 IEEE International Conference on Image Processing (ICIP), 2016
 [pdf] [ieee]

 Viralets: Learning from Viral Videos to Identify Semantic Highlight in Personal Videos
 Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun
 Computer Vision and Pattern Recognition Workshop(CVPR Workshop), 2015
 [link]

 Semantic Highlight Detection in Viral Videos
 Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun
 Computer Vision Graphics and Image Processing(CVGIP), 2015
 Best Paper Award
 [link]

Selected Projects

 Microsoft - MSR Video to Language Challenge
 Team name: NTHU_VSLab
 Tseng-Hung Chen, Kuo-Hao Zeng, Wan-Ting Hsu, Min Sun
 Computer Vision for Visual Effects
 [equally contribute] Kuan-Ting Chen, Kuo-Hao Zeng, Shih-Han Chou

Scholarships and Awards

  • Ministry of Education Republic of China (Taiwan) Scholarship (2016) for visiting Stanford Vision Lab.
  • Member of Phi Tau Phi Scholastic Honor Society of the Republic of China (2016)
  • NovaTek Scholarship (2015)
  • Working Experience

    Stanford Vision Lab
    Visiting student • Sept. 2016 – Present
    - computer vision and machine learning.

    Vision Science Lab in National Tsing Hua University
    Graduated student and research assistant • Oct. 2014 – Present
    - computer vision and machine learning.

    MediaTek Inc.
    Summer Intern • July. 2014 – Sept. 2014

    Hiwin Inc.
    Summer Intern • July. 2013 – Aug. 2013


    Last updated: 10 August 2016