Bo Dong
Orcid: 0000-0001-9189-9506Affiliations:
- Princeton University, Department of Computer Science, NJ, USA
- SRI international, Princeton, NJ, USA
- College of William and Mary, Williamsburg, VA, US (PhD 2015)
According to our database1,
Bo Dong
authored at least 17 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A Universal Event-Based Plug-In Module for Visual Object Tracking in Degraded Conditions.
Int. J. Comput. Vis., May, 2024
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Point Cloud Scene Completion With Joint Color and Semantic Estimation From Single RGB-D Image.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks.
ACM Trans. Multim. Comput. Commun. Appl., 2023
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Vis. Comput., 2021
Comput. Graph. Forum, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2015
ACM Trans. Graph., 2015
2014
Scattering Parameters and Surface Normals from Homogeneous Translucent Materials Using Photometric Stereo.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014