Hongda Jiang

Hongda Jiang

PhD student of computer graphics

Peking University

Biography

I’m now a PhD student of Computer Graphics in Visual Computing and Learning Lab in Peking University advised by Prof. Chen Baoquan. My research interests focus on camera control, cinematography and deep learning.

Interests

  • Computer Graphics
  • Deep Learning
  • Camera Control

Education

  • PhD in Computer Graphics, 2019-now

    Peking University

  • BSc in Computer Science, 2015-2019

    Peking University

Projects

Rendering

GAMES 101 course

Publications

Filtering publications

Example-driven Virtual Cinematography by Learning Camera Behaviors

In this paper, we propose an example-driven camera controller which can extract camera behaviors from an example film clip and re-apply the extracted behaviors to a 3D animation, through learning from a collection of camera motions.

Rethinking Fusion Baselines for Multi-modal Human Action Recognition

Multi-modal data can provide more useful information for Human Action Recognition. But with the different formats, different modal data can only be used separately, which results a inefficient fusion. In this paper, we give comprehensive analysis of fusion schemes through experimental results and hope our work could benefit the community in multi-modal action recognition.

Others

CG Papers Reading (Chinese version)

Rough reading of CG papers, in order to introduce computer graphics to more people.