About Me

I'm a third-year Ph.D. student at Nanyang Technological University MReaL Lab, supervised by Hanwang Zhang.
I got my Bachelor's degree from IEEE honor class at Shanghai Jiao Tong University, and dual-master degrees from both Shanghai Jiao Tong University and Waseda University.
My research interests are scene understanding, long-tailed recognition, visual reasoning and causal inference in computer vision.

Publications

Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen
preprint
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
CVPR 2020 (oral)
Xinting Hu, Yi Jiang, Kaihua Tang, Hanwang Zhang, Chunyan Miao, Jingyuan Chen
CVPR 2020
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
CVPR 2019 (oral & appears on the Best Paper Finalists [accept rate: 0.87% = 45/5160])
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai
CVPR 2019 (oral)
Kaihua Tang, Sei-ichiro Kamata, Xiaonan Hou, Shouhong Ding, Lizhuang Ma
ACCV 2016

Awards

  • PREMIA Best Student Paper, Silver Award (2nd Place), PREMIA, 2019
  • Honorable Judge Award, The 5th Cloud Programming World Cup, FORUM8 Tokyo, 2017
  • Waseda Partial Tuition-Waiver Scholarship for International Students (10/300), Waseda University, 2015
  • IPS special scholarship for international students, Waseda University, 2014
  • Monbukagakusho Honors Scholarship for International Students, JASSO, 2014
  • Emerging Talent Award, The 1st Cloud Programming World Cup, FORUM8 Tokyo, 2013
  • Educations

    Nanyang Technological University, Singapore
    Ph.D Candidate of Computer Science and Engineering (2018.7 - Now)
    Working with Asst Prof.Zhang Hanwang.
    Waseda University, Japan; Shanghai Jiao Tong University, China
    Dual Master Program of Science (2015.9 - 2018.3)
    Primary major in Computer Science. Working with Prof.Ma Lizhuang & Prof.Kamata Sei-ichiro.
    Shanghai Jiao Tong University, China
    Bachelor of Science (2011.9 - 2015.8)
    Primary major in Computer Science, Second major in Chinese Traditional Painting

    Projects

    This project aims to build a new CODEBASE for Scene Graph Generation (SGG), and it is also a Pytorch implementation of the paper "Unbiased Scene Graph Generation from Biased Training". It is built on top of the well-known maskrcnn-benchmark and defines relationship prediction as an additional roi_head. Moreover, I included all the exsiting metrics: R@K, mR@K, ngR@K, zR@K, to benchmark the SGG.
    An open-source visual question answering (VQA) CODEBASE built on top of the bottom-up-attention-vqa. It integrates several popular VQA papers published in 2018, which includes: bottom-up top-down, bilinear attention network, learning to count, learning conditioned graph structures, intra- and inter-modality attention.
    Indie Game Development
    Out of interest, I independently developed several mobile games on Iphone. They have been downloaded over 10k times on Apple store in half a year.

    Experience

    Tencent, AI Lab, Research Intern (2018.3 - 2018.6)

    Major topic: Scene Graph Generation
    Mentor: Wenhan Luo, Baoyuan Wu

    Mihoyo, Software Engineer Intern (2017.4 - 2017.12)

    Mobile Game Development Using Unity 3D.

    Toshiba, Research & Development Intern (2015.8 - 2015.9)

    Major Project: Scenery Image Stitching and Inpainting.
    Mentor: Kaoru Matsuoka

    YAPM Summer Volunteer, Yunnan Province, China (2014.7 - 2014.8)

    Youth Ambassador Program for Minorities (TECC Organization) is determined to help the youth generation of minorities in remote area of China to inherit and protect their cultures.

    Speech Lab Intern, SJTU (2014.3 - 2014.9)



    All rights reserved & Last update on Sep, 2020