Kuo-Hao Zeng

News: A Paper accepted to ICCV 2017!

About me

I reveiced my MS from National Tsing Hua University, where I worked with Prof. Min Sun on Machine Learning (Deep Learning) and their applications in Robot Learning, Computer Vision, Natural Language Processing, and their intersection. I had the pleasure of being a visiting student working with Dr. Juan Carlos Niebles at Stanford Vision Lab.

My recent projects focus on robot learning, video forecasting, and visual-language understanding (reasoning). I've been researched on video captioning, video title generation, video question answering, and accident anticipation.

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

My CV [PDF], last updated July 2017.

Publication

 Visual Forecasting by Imitating Dynamics in Natural Sequences 
 Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles
 IEEE International Conference on Computer Vision (ICCV), 2017
 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
 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 and Term Prediction
 Min Sun, Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi
 IEEE Transactions on Image Processing (TIP), July, 2017
 [pdf] [ieee]
 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 – March. 2017
    - computer vision and machine learning.

    Vision Science Lab in National Tsing Hua University
    Graduated student and research assistant • Oct. 2014 – July. 2017
    - computer vision and machine learning.

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

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


    Last updated: July 2017