Meet the Team
Scott McCloskey, Ph.D.
Director of Computational Imaging
Computer Vision
Kitware Minneapolis
Minneapolis, MN
Ph.D. in Computer Science
McGill University
M.S. in Computer Science
Rochester Institute of Technology
B.S. in Computer Science and Mathematics
University of Wisconsin
Dr. Scott McCloskey is the Director of Computational Imaging at Kitware, where he leads a group of researchers and developers within the Computer Vision team to develop new capabilities involving non-traditional sensing. During his time at Kitware Dr. McCloskey has led several large, multi-organization teams for research projects funded by the Defense Advanced Research Projects Agency (DARPA), Intelligence Advanced Research Projects Activity (IARPA), Air Force Research Laboratory (AFRL), National Geospatial-Intelligence Agency (NGA), and Missile Defense Agency (MDA). In addition to leading the Computational Imaging sub-group, Dr. McCloskey founded Kitware’s Midwest Office in Minneapolis.
Prior to joining Kitware, Dr. McCloskey was a technical fellow at Honeywell, where he served as the principal investigator (PI) on a number of commercial and contract-funded projects in computer vision and computational imaging. His commercial work addressed problems in visual surveillance, biometrics, barcode scanning, and visual metrology. This last topic launched Honeywell’s AutoCube 8200 product, a structured light 3D camera whose associated software accurately measures parcels for postal and logistics customers. Scott’s work at Honeywell resulted in 40+ patents, in addition to the technical publications listed below.
Dr. McCloskey remains actively involved with technical conferences in the computer vision and computational imaging communities. He has served as general chair, program chair, and area chair for the IEEE Winter Conference on the Applications of Computer Vision (WACV); as the industrial relations chair, corporate relations chair, and area chair for the premier computer vision conferences including the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Computer Vision (ICCV). He has served as a reviewer for many other conferences and journals, on a National Science Foundation review panel, and as an associate editor of the Pattern Recognition journal.
Dr. McCloskey received his Ph.D. in Computer Science from McGill University in 2008, his M.S. in computer science from the Rochester Institute of Technology in 2002, and his B.S. in computer science and mathematics from the University of Wisconsin – Madison in 1998. Between his undergraduate and Ph.D., Scott completed the Image Science Career Development program at the Eastman Kodak research labs.
Awards
2026 Class of IEEE Signal Processing Society Distinguished Industry Speaker
Best Paper Award for “Centroiding Point-Objects with Event Cameras” at the 2025 International Conference on Computational Photography.
Best Paper Award for “High-resolution Image Enumeration for Low-resolution Face Recognition” at the 18th IEEE International Conference on Automatic Face and Gesture Recognition (2024).
Outstanding Reviewer Award, European Conference on Computer Vision (ECCV) 2024 and 2012
Publications
- A. Reed, C. Hashemi, D. Melamed, N. Menon, K. Hirakawa, and S. McCloskey, "EBS-EKF: Accurate and High Frequency Event-Based Star Tracking," in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025. [URL]
- C. Hill, F. Yellin, K. Regmi, D. Du, and S. McCloskey, "Re-identifying People in Video via Learned Temporal Attention and Multi-modal Foundation Models," in IEEE/CVF Winter Conference on Applications of Computer Vision, 2025. [URL]
- C. Hashemi, D. Melamed, A. Reed, N. Menon, K. Hirakawa, and S. McCloskey, "Centroiding Point-Objects With Event Cameras," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-10, 2025. [URL]
- F. Yellin, S. McCloskey, C. Hill, E. Smith, and B. Clipp, "Concurrent Band Selection and Traversability Estimation from Long-Wave Hyperspectral Imagery in Off-Road Settings," in IEEE/CVF Winter Conference on Applications of Computer Vision, 2024. [URL]
- S. McCloskey, B. RichardWebster, R. Collins, and A. Hoogs, "Subject Identification up to 1km: Performer Perspective on the IARPA BRIAR Program," in Proceedings of the National Security Sensor and Data Fusion Committee, 2023.
- A. Mankowski, P. Gurram, J. Crall, S. McCloskey, and A. Hoogs, "Transformers for Small Object Detection and Tracking in OPIR Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee, 2023.
- D. Davila, D. Du, B. Lewis, C. Funk, J. Van Pelt, R. Collins, K. Corona, M. Brown, S. McCloskey, A. Hoogs, and B. Clipp, "MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification," in IEEE/CVF Winter Conference on Applications of Computer Vision, 2023. [URL]
- F. Yellin, E. Smith, M. Albright, and S. McCloskey, "Resolution Transfer for Object Detection from Satellite Imagery," in 26th International Conference on Pattern Recognition, 2022. [URL]
- S. McCloskey, "Computational Imaging," in Multimedia Forensics. Springer Singapore, 2022, pp. 41-62. [URL]
- W. Scheirer, R. VidalMata, S. Banerjee, B. RichardWebster, M. Albright, P. Davalos, S. McCloskey, B. Miller, A. Tambo, S. Ghosh, S. Nagesh, Y. Yuan, Y. Hu, J. Wu, W. Yang, X. Zhang, J. Liu, Z. Wang, H. Chen, T. Huang, W. Chin, Y. Li, M. Lababidi, and C. Otto, "Bridging the Gap Between Computational Photography and Visual Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1, 2020. [URL]
- S. McCloskey and M. Albright, "Detecting GAN-Generated Imagery Using Saturation Cues," in IEEE International Conference on Image Processing, 2019.
- N. Li, S. McCloskey, and J. Yu, "Jittered Exposures for Light Field Super-Resolution," in IEEE International Conference on Image Processing, 2019.
- M. Albright and S. McCloskey, "Source generator attribution via inversion," CVPR Workshop on Media Forensics, pp. 96-103, May 2019.
- C. Chen, S. McCloskey, and J. Yu, "Analyzing Modern Camera Response Functions," in IEEE Winter Conference on Applications of Computer Vision, 2019.
- A. Tambo, M. Albright, and S. Mccloskey, "Low-and semantic-level cues for forensic splice detection," in IEEE Winter Conference on Applications of Computer Vision, 2019.
- J. Stanton, K. Hirakawa, and S. McCloskey, "Detecting Image Forgery Based On Color Phenomenology," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019.
- S. McCloskey and M. Albright, "Detecting gan-generated imagery using color cues," arXiv preprint arXiv:1812.08247, Dec. 2018.
- C. Chen, S. McCloskey, and J. Yu, "Focus manipulation detection via photometric histogram analysis," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
- N. Li, S. McCloskey, and J. Yu, "Jittered exposures for image super-resolution," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.
- S. McCloskey and S. Venkatesha, "Temporally Coded Illumination for Rolling Shutter Motion De-blurring," in IEEE Winter Conference on Applications of Computer Vision, 2017.
- C. Chen, S. McCloskey, and J. Yu, "Image splicing detection via camera response function analysis," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2017.
- S. McCloskey and B. Miller, "Fast, high dynamic range light field processing for pattern recognition," in IEEE International Conference on Computational Photography, 2016.
- S. McCloskey, "Application-driven computational imaging," in Micro-and Nanotechnology Sensors, Systems, and Applications VIII, 2016.
- B. Miller and S. McCloskey, "Metric Feature Indexing for Interactive Multimedia Search," in 13th Conference on Computer and Robot Vision, 2016.
- S. McCloskey and S. Venkatesha, "Computational cameras for moving iris recognition," in Biometric and Surveillance Technology for Human and Activity Identification XII, 2015.
- S. McCloskey, S. Venkatesha, K. Muldoon, and R. Eckman, "A Low-Noise Fluttering Shutter Camera Handling Accelerated Motion," in IEEE Winter Conference on Applications of Computer Vision, 2015.
- X. Guo, H. Lin, Z. Yu, and S. McCloskey, "Barcode imaging using a light field camera," in European Conference on Computer Vision, 2014.
- S. McCloskey, "Improved motion invariant deblurring through motion estimation," in European Conference on Computer Vision, 2014.
- S. McCloskey, "11 Coded exposure motion deblurring for recognition," Motion Deblurring: Algorithms and Systems, pp. 222, May 2014.
- S. McCloskey and J. Liu, "Metadata-Weighted Score Fusion for Multimedia Event Detection," in Canadian Conference on Computer and Robot Vision, 2014.
- S. McCloskey, K. Muldoon, and S. Venkatesha, "Motion aware motion invariance," in IEEE International Conference on Computational Photography, 2014.
- R. Lloyd and S. McCloskey, "Recognition of 3D package shapes for single camera metrology," in IEEE Winter Conference on Applications of Computer Vision, 2014.
- C. Xiong, S. McCloskey, S. Hsieh, and J. Corso, "Latent domains modeling for visual domain adaptation," in Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014.
- S. Oh, S. Mccloskey, I. Kim, A. Vahdat, K. Cannons, H. Hajimirsadeghi, G. Mori, A. Perera, M. Pandey, and J. Corso, "Multimedia event detection with multimodal feature fusion and temporal concept localization," Machine vision and applications, vol. 25, no. 1, pp. 49-69, Jan. 2014.
- S. McCloskey, "Masking light fields to remove partial occlusion," in 22nd International Conference on Pattern Recognition, 2014.
- S. Oh, A. Perera, I. Kim, M. Pandey, K. Cannons, H. Hajimirsadeghi, A. Vahdat, G. Mori, B. Miller, S. McCloskey, Y. Cheng, Z. Huang, C. Lee, C. Xu, R. Kumar, W. Chen, J. Corso, L. Fei-Fei, D. Koller, V. Ramanathan, K. Tang, A. Joulin, and A. Alahi, "Trecvid 2013 genie: Multimedia event detection and recounting," Parade, vol. 1, no. 26.0, pp. 51.7, Nov. 2013.
- S. McCloskey, "Velocity-dependent shutter sequences for motion deblurring," in European Conference on Computer Vision, 2012.
- J. Liu, S. McCloskey, and Y. Liu, "Local expert forest of score fusion for video event classification," in European Conference on Computer Vision, 2012.
- S. McCloskey and P. Davalos, "Activity detection in the wild using video metadata," in Proceedings of the 21st International Conference on Pattern Recognition, 2012.
- J. Liu, S. McCloskey, and Y. Liu, "Training data recycling for multi-level learning," in Proceedings of the 21st International Conference on Pattern Recognition, 2012.
- S. McCloskey, Y. Ding, and J. Yu, "Design and estimation of coded exposure point spread functions," IEEE transactions on pattern analysis and machine intelligence, vol. 34, no. 10, pp. 2071-2077, May 2012.
- A. Perera, S. Oh, M. P, T. Ma, A. Hoogs, A. Vahdat, K. Cannons, G. Mori, S. Mccloskey, B. Miller, S. Venkatesh, P. Davalos, P. Das, C. Xu, J. Corso, R. Srihari, I. Kim, Y. Cheng, Z. Huang, C. Lee, K. Tang, L. Fei-fei, and D. Koller, "TRECVID 2012 GENIE: multimedia event detection and recounting," in NIST TRECVID Workshop, 2012.
- S. McCloskey, "Temporally coded flash illumination for motion deblurring," in International Conference on Computer Vision, 2011.
- W. Xu and S. McCloskey, "2D Barcode localization and motion deblurring using a flutter shutter camera," in IEEE Workshop on Applications of Computer Vision (WACV), 2011.
- S. McCloskey, K. Muldoon, and S. Venkatesha, "Motion invariance and custom blur from lens motion," in IEEE International Conference on Computational Photography (ICCP), 2011.
- A. Perera, S. Oh, M. Leotta, I. Kim, B. Byun, C. Lee, S. McCloskey, B. Miller, Z. Huang, A. Vahdat, W. Yang, G. Mori, K. Tang, D. Koller, L. Fei-Fei, K. Li, G. Chen, J. Corso, Y. Fu, R. Srihari, Y. Fu, and R. Srihari, "GENIE TRECVID 2011 Multimedia Event Detection : Late-Fusion Approaches to Combine Multiple Audio-Visual features," in NIST TRECVID Workshop, 2011.
- Y. Ding, S. McCloskey, and J. Yu, "Analysis of motion blur with a flutter shutter camera for non-linear motion," in European Conference on Computer Vision, 2010.
- S. McCloskey, W. Au, and J. Jelinek, "Iris capture from moving subjects using a fluttering shutter," in Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems, 2010.
- S. McCloskey, M. Langer, and K. Siddiqi, "Removal of partial occlusion from single images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 3, pp. 647-654, Oct. 2010.
- S. McCloskey, M. Langer, and K. Siddiqi, "Removing partial occlusion from blurred thin occluders," in 20th International Conference on Pattern Recognition, 2010.
- A. Kembhavi, B. Siddiquie, R. Miezianko, S. McCloskey, and L. Davis, "Incremental multiple kernel learning for object recognition," in IEEE 12th International Conference on Computer Vision, 2009.
- S. McCloskey and M. Langer, "Planar orientation from blur gradients in a single image," in IEEE Conference on Computer Vision and Pattern Recognition, 2009.
- A. Kembhavi, B. Siddiquie, R. Miezianko, S. McCloskey, and L. Davis, "Scene it or not? incremental multiple kernel learning for object detection," in Proceedings of the International Conference on Computer Vision, 2009.
- S. McCloskey, "Confidence weighting for sensor fingerprinting," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008.
- S. McCloskey, M. Langer, and K. Siddiqi, "Automated removal of partial occlusion blur," in Asian Conference on Computer Vision, 2007.
- S. McCloskey, M. Langer, and K. Siddiqi, "Evolving measurement regions for depth from defocus," in Asian Conference on Computer Vision, 2007.
- S. McCloskey, M. Langer, and K. Siddiqi, "The Reverse Projection Correlation Principle for Depth from Defocus," in Third International Symposium on 3D Data Processing, Visualization, and Transmission, 2006.
- S. McCloskey, M. Langer, and K. Siddiqi, "Seeing around occluding objects," in 18th International Conference on Pattern Recognition, 2006.
- S. McCloskey, "Hiding information in images: an overview of watermarking," Cryptography Research Paper, pp. 9-11, 2000.
