Bo Dong

Visiting Researcher
Computational Imaging Lab at Princeton University

Email bo {dot} dong [at] princeton {dot} edu
“I have no special talent. I am only passionately curious.”                    –Albert Einstein



Short Biography: I am currently a visiting researcher at Princeton University and working closely with Prof. Felix Heide. My research lies at the intersection of machine learning, computer vision, computer graphics, and neuroscience, and it seeks solutions to enhance the adaptation capability, explainability, and computational & energy efficiency of computational imaging systems on various energy-limited platforms, such as edge devices, drones, and mobile robots, under different realistic degraded conditions (e.g., external environmental changes, malfunctioning sensors, and weight uncertainty of neural networks). The overarching vision of my research is to leverage bio-plausible neuroscientific observations and theories. This brings the tantalizing promise of human-like homeostatic computational imaging systems, which can spontaneously maintain a relatively constant internal environment. The endowed homeostasis capability can decouple physiology from immediate external conditions and thereby significantly extend the range of available application scenarios. I received a Ph.D. in Computer Science from the College of William and Mary in 2015.

News

Mar 1, 2022 Two papers accepted at CVPR 2022
Oct 26, 2021 One paper accepted at Applied AI Letters
Oct 1, 2021 I joined Princeton University as a Visiting Researcher! Very exciting!
Aug 26, 2021 One paper accepted at CGF 2021
Jul 22, 2021 One paper accepted at ICCV 2021

Selected Publications

  1. CVPR’22
    Glass Segmentation using Intensity and Spectral Polarization Cues
    Mei, Haiyang, Dong, Bo, Dong, Wen, Yang, Jiaxi, Baek, Seung-Hwan, Heide, Felix, Peers, Pieter, Wei, Xiaopeng, and Yang, Xin
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  2. CVPR’22
    Spiking Transformers for Event-based Single Object Tracking
    Zhang, Jiqing, Dong, Bo, Zhang, Haiwei, Ding, Jianchuan, Heide, Felix, Yin, Baocai, and Yang, Xin
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  3. ICCV’21
    Object Tracking by Jointly Exploiting Frame and Event Domain
    Zhang, Jiqing, Yang, Xin, Fu, Yingkai, Wei, Xiaopeng, Yin, Baocai, and Dong, Bo
    In IEEE International Conference on Computer Vision (ICCV) 2021
  4. CVPR’21 Oral
    Depth-Aware Mirror Segmentation
    Mei, Haiyang, Dong, Bo, Dong, Wen, Peers, Pieter, Yang, Xin, Zhang, Qiang, and Wei, Xiaopeng
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Oral 2021
  5. MobiSys’20
    EMO: Real-Time Emotion Recognition from Single-Eye Images for Resource-Constrained Eyewear Devices
    Wu, Hao, Feng, Jinghao, Tian, Xuejin, Sun, Edward, Liu, Yunxin, Dong, Bo, Xu, Fengyuan, and Zhong, Sheng
    In Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services 2020
  6. SIGGRAPH’15
    Measurement-Based Editing of Diffuse Albedo with Consistent Interreflections
    ACM Trans. Graph. 2015
  7. CVPR’14
    Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo
    Dong, Bo, Moore, Kathleen D., Zhang, Weiyi, and Peers, Pieter
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014