2024
Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley, “Interactive Mars Image Content-Based Search with Interpretable Machine Learning”, Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2024)
2023
- Bhavan Vasu, Prasad Tadepalli, “Global Explanations for Image Classifiers,” Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Student Abstract Program, Washington, DC 2023
2022
- Steven Lu, Kiri Wagstaff, Emily Dunkel, Bhavan Vasu, Kevin Grimes and Michael McAuley, “Content-based Search of Large Image Archives at PDS Imaging Node”, American Geophysical Union (AGU) 2022
- Hu, Brian, Bhavan Vasu, and Anthony Hoogs. “X-MIR: EXplainable Medical Image Retrieval.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022. [URL]
2021
- Hu, Brian, Paul Tunison, Bhavan Vasu, Nitesh Menon, Roddy Collins, and Anthony Hoogs. “XAITK: The explainable AI toolkit.” Applied AI Letters 2, no. 4 (2021): e40.[URL]
- Vasu, Bhavan, Brian Hu, Bo Dong, Roddy Collins, and Anthony Hoogs. “Explainable, interactive content‐based image retrieval.” Applied AI Letters 2, no. 4 (2021): e41.[URL]
2020
- Vasu, Bhavan, and Andreas Savakis. “Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery.” IEEE Access (2020). [URL]
- B. Vasu and C. Long, “Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. [URL]
2019
- B. Vasu and A. Savakis, “Visualizing the Resilience of Deep Convolutional Network Interpretations.,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPRW) Workshops, 2019. [URL]
- B. Vasu, J. Barnett, R. Collins, and A. Hoogs, “Explainability for Content-Based Image Retrieval,” in Proceedings of the MSS National Symposium on Sensor and Data Fusion (NSSDF), 2019.
- W. Hicks, B. Vasu, B. Pikus, R. Blue, and A. Hoogs. “Training Deep Networks for Patch-Based Search in Satellite Imagery.” In Proceedings of the MSS National Symposium on Sensor and Data Fusion (NSSDF), 2019.
2018
- Vasu, Bhavan Kumar (Masters Thesis). “Visualizing Resiliency Of Deep Convolutional Network Interpretations For Aerial Imagery.” (2018). [URL]
- F. Rahman, B. Vasu, and A. Savakis, “Resilience and Self-Healing of Deep Convolutional Object Detectors,” in 2018 25th IEEE International Conference on Image Processing (ICIP), 2018. [URL]
- C. Law, R. Blue, D. Stoup, P. Tunison, A. Hoogs, B. Vasu, J. Van Cor, J. Kerekes, A. Savakis, T. Rovito, C. Stansifer, and S. Thomas, “Deep Learning for Object Detection and Classification in Satellite Imagery,” in Proceedings of the MSS National Symposium on Sensor and Data Fusion (NSSDF), 2018.
- F. Rahman, B. Vasu, J. Cor, J. Kerekes, and A. Savakis, “Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery,” in 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018. [URL]
- B. Vasu, F. Rahman, and A. Savakis, “Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery,” in 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018. [URL]