Jiaben Chen's Homepage

Jiaben Chen

I am a first-year master student majoring in Computer Science at CSE of University of California, San Diego, advised by Prof. Xiaolong Wang. My research interest is computer vision, self-supervised learning, video processing and multi-modality learning. Starting from the summer of 2021, I worked remotely with Prof. Jianbo Shi at University of Pennsylvania as a research intern. I am currently working with Prof. Huaizu Jiang at Northeastern University. Before graduate study, I received my bachelor degree in Computer Science and Technology at SIST of ShanghaiTech University, under the supervision of Prof. Laurent Kneip on event-based visual SLAM. During undergraduate, I have been lucky to work on video frame interpolation with Prof. Shenghua Gao at ShanghaiTech in my senior year, and I also worked as a research intern on AutoML with Prof. Xia Hu at Rice university in my junior year.

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Research

- iQuery: Instruments as Queries for Audio-Visual Sound Separation
  
  Jiaben Chen, Renrui Zhang, Dongze Lian, Jiaqi Yang, Ziyao Zeng, and Jianbo Shi
  Computer Vision and Pattern Recognition Conference (CVPR), 2023.
  In this paper, we re-formulate visual-sound separation task and propose Instrument as Query (iQuery) with a flexible query expansion mechanism.
  
  [Paper] [Code]
- Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
  
  Xinhang Liu, Jiaben Chen, Huai Yu, Yu-Wing Tai and Chi-Keung Tang
  Neural Information Processing Systems (NeurIPS), 2022.
  In this paper, we propose radiance field propagation (RFP), a novel approach to segment objects in 3D during reconstruction given only unlabeled multi-view images of a scene.
  
  [Project Page]
- DEVO: Visual Odometry in Challenging Conditions using a Stereo Event Depth Camera
  
  Yi-Fan Zuo^*, Jiaqi Yang^*, Jiaben Chen, Xia Wang, Yifu Wang and Laurent Kneip
  International Conference on Robotics and Automation (ICRA), 2022.
  In this paper, we proposed a novel real-time visual odometry framework for a stereo setup of a high-resolution event and depth camera to deal with challenging conditions.
  
  [Paper]
- AutoVideo: An Automated Video Action Recognition System
  
  Daochen Zha^*, Zaid Pervaiz Bhat^*, Yi-Wei Chen^*, Yicheng Wang^*, Sirui Ding^*, Jiaben Chen^*, Kwei-Herng Lai^*, Mohammad Qazim Bhat^*, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou and Xia Hu
  International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  In this paper, we presented AutoVideo, a Python system for video action recognition based on Automated Machine Learning.
  
  [Paper] [Code] [Video]
- VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM
  
  Ling Gao^*, Yuxuan Liang^*, Jiaqi Yang^*, Shaoxun Wu, Chenyu Wang, Jiaben Chen and Laurent Kneip
  Robotics and Automation Letters (RA-L), 2022.
  International Conference on Intelligent Robots and Systems (IROS), 2022.
  In this paper, we proposed the first complete multi-sensor benchmark dataset containing an event-based stereo camera, a regular stereo camera, multiple depth sensors, and an inertial measurement unit.
  
  [Paper] [Benchmark]

Contact

Address

9244 Regents Road
La Jolla, San Diego
United States
92037

Email

Academic
jic088 [at] ucsd.edu
chenjb1 [at] shanghaitech.edu.cn

Other Use
1415357040 [at] qq.com

About Me

We are all in the gutter, but some of us are looking at the stars.

Oscar Wild

I am a huge fan of Stephen Curry.

Rollin' On.

Last update: Oct, 2022