Hongda Jiang

Hongda Jiang

PhD student of computer graphics

Peking University


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.


  • Computer Graphics
  • Deep Learning
  • Camera Control


  • PhD in Computer Graphics, 2019-now

    Peking University

  • BSc in Computer Science, 2015-2019

    Peking University


Digital Image Processing

This project is about the digital image processing course.


Join the group to help rescue the victims in disaster area.


GAMES 101 course


Filtering publications

Camera Keyframing with Style and Control

We present a tool that enables artists to synthesize camera motions following a learned camera behavior while enforcing user-designed keyframes as constraints along the sequence.

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.


CG Papers Reading (Chinese version)

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