Bo Dong

Research Scientist Sr. | Visiting Researcher
Disney Research | 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 Sr. Research Scientist at Diseny Research and also 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). I received a Ph.D. in Computer Science from the College of William and Mary in 2015.

I am hiring self-motivated Postdoctoral Associates to work on exciting projects at Disney Research!

News

Sep 14, 2022 One paper accepted at NeurIPS 2022
Jul 2, 2022 One paper accepted at ECCV 2022
May 23, 2022 I joined Disney Research as a Research Scientist Sr.! Making Magic Happen!
Mar 1, 2022 Two papers accepted at CVPR 2022
Oct 26, 2021 One paper accepted at Applied AI Letters

Selected Publications

  1. NeurIPS’22
    Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
    Ding, Jianchuan, Dong, Bo, Heide, Felix, Ding, Yufei, Zhou, Yunduo, Yin, Baocai, and Yang, Xin
    In Conference on Neural Information Processing System (NeurIPS) 2022
  2. ECCV’22
    All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
    Zhang, Yuxuan, Dong, Bo, and Heide, Felix
    In European Conference on Computer Vision (ECCV) 2022
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. SIGGRAPH’15
    Measurement-Based Editing of Diffuse Albedo with Consistent Interreflections
    ACM Trans. Graph. 2015
  9. 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