Raymond Ptucha

Raymond Ptucha

Assistant Professor
Kate Gleason College of Engineering
Computer Engineering

2019 Submissions

Published Conference Proceedings

Seng, S., et al. "Towards Robust Open-World Detection of Deepfakes." Proceedings of the 26th ACM Conference on Computer and Communications Security. Ed. ACM. London, England: ACM, Web. «

Saraf, M., et al. "Multimodal Anticipated verses Actual Perceptual Reactions." Proceedings of the ACM International Conference on Multimodal Interaction. Ed. ACM. Suzhou, Jiangsu, China: n.p., 2019. Web. «

Gopalakrishnan, S., et al. "Reference Vector Space for Multi-Modal Embeddings,." Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Conference. Ed. IEEE. Washington DC, District of Columbia: n.p., 2019. Web. «

Dominguez, M., et al. "Evolution of Graph Classifiers." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, New York: n.p., 2019. Web. «

Thai, B., et al. "Synthetic Data Augmentation for Improving Low-resource ASR." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, New York: n.p., Web. «

Peri, D., S. Sah, and R. Ptucha. "Show, Translate, and Tell." Proceedings of the International Conference on Image Processing. Ed. IEEE. Taipei, Taiwan: n.p., Web. «

Longman, R. and R. Ptucha. "Embedded CycleGAN for Shape-agnostic Image-to-Image Translation." Proceedings of the International Conference on Image Processing. Ed. IEEE. Taipei, Taiwan: n.p., Web. «

Yuan, T., et al. "Large Scale Sign Language Interpretation." Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition. Ed. IEEE. Lille, France: n.p., Web. «

Hannon, D., et al. "A Human Factors Engineering Education Perspective on Data Science, Machine Learning and Automation." Proceedings of the Human Factors & Ergonomics Society. Ed. ACM. Seattle, WA: n.p., Web. «

Sankaran, P., et al. "Simulation Analysis of a Highway DNN for Autonomous Forklift Dispatching." Proceedings of the Simulation Analysis of a Highway DNN for Autonomous Forklift Dispatching. Ed. IISE. Orlando, Fl: n.p., Web. «

Ptucha, R., et al. "Object Recognition, Identification and Classification for Intelligent Surveillance and Reconnaissance Platforms." Proceedings of the SPIE Defense & Commercial Sensing. Ed. SPIE. Baltimore, MD: n.p., Web. «

Jimerson, R., et al. "Speech Technology for Supporting Community-based Endangered Language Documentation." Proceedings of the 6th International Workshop on Language Documentation and Conservation (ICLDC). Ed. IEEE. Honolulu, Hawaii: n.p., Web. «

Relyea, R., et al. "Multimodal Localization for Autonomous Agents." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. SPIE. San Francisco, CA: n.p., Web. «

Carmichael, Z., et al. "Autonomous Navigation Using Localization Priors, Sensor Fusion, and Terrain Classification." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. SPIE. San Francisco, CA: n.p., Web. «

Li, Maojia, et al. "Task Selection by Autonomous Mobile Robots in a Warehouse Using Deep Reinforcement Learning." Proceedings of the 2019 Winter Simulation Conference. Ed. IEEE. National Harbor, MD: n.p., Web. «

Invited Keynote/Presentation

Ptucha, R. "Graph Convolutional Neural Networks and the Machine Intelligence Laboratory." Department of Computer Science and Engineering Seminar. University at Buffalo. Buffalo, NY. 16 Aug. 2019. Guest Lecture. ∆

Ptucha, R. "What is and How Will Machine Learning Change our Lives." Keynote at the 2019 Engineering Symposium. Rochester Engineering Society. Rochestere, NY. 23 Apr. 2019. Keynote Speech. ∆

Ptucha, R. "Introduction to Deep Learning for Facial and Gesture Analysis." Tutorial at Automatic Face and Gesture Recognition Conference. IEEE. Lille, France. 20 May 2019. Lecture. ∆

Ptucha, R. "Fundamentals of Deep Learning." Tutorial at Electronic Imaging. SPIE. San Francisco, CA. 15 Jan. 2019. Lecture. ∆

2018 Submissions

Journal Paper

Ptucha, Ray, et al. "Intelligent Character Recognition using Fully Convolutional Neural Networks." Pattern Recognition PR6747. (2018): 24. Print. «

Sah, Shagan, Thang Nguyen, and Ray Ptucha. "Understanding Temporal Structure for Video Captioning." Journal of Pattern Analysis and Applications PAAA-D-17-00571. (2018): 14. Print. «

Published Conference Proceedings

Blakeslesse, Bryan, Andreas Savakis, and Ray Ptucha. "Faster Art-CNN: An Extremely Fast Style Transfer Network." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. New York, NY: n.p., Web. «

Such, Felipe Petroski, et al. "Fully Convolutional Networks for Handwriting Recognition." Proceedings of the International Conference on Frontiers of Handwriting Recognition. Ed. IEEE. New York, NY: n.p., Web. «

Jimerson, Robbie, et al. "Improving ASR Output for Endangered Language Documentation." Proceedings of the International Workshop on Spoken Languages for Under-resources Languages. Ed. IEEE. New York, NY: n.p., Web. «

Sankaran, Prashant, et al. "Simulation Analysis of Deep-Learning Approaches to Task Selection by Autonomous Vehicles for Material Handling." Proceedings of the Winter Simulation Conference. Ed. IEEE. New York, NY: n.p., Web. «

Sah, Shagan, et al. "Semantically Invariant Text-to-Image Generation." Proceedings of the International Conference on Image Processing. Ed. IEEE. New York, NY: n.p., Web. «

Sah, Shagan, et al. "Multimodal Reconstruction Using Vector Representation." Proceedings of the International Conference on Image Processing. Ed. IEEE. New York, NY: n.p., Web. «

Sah, Shagan, Sabarish Gopalakrishnan, and Ray Ptucha. "Cross Modal Retrieval using Common Vector Space." Proceedings of the Image and Vision Workshop at IEEE Computer Vision and Pattern Recognition. Ed. IEEE. New York, NY: n.p., Web. «

Allison, Jacob, Ray Ptucha, and Sergey Lyshevshki. "Resilient Communication, Object Classification and Data Fusion in Unmanned Aerial Systems." Proceedings of the International Conference on Unmanned /aircraft Systems (ICUAS). Ed. IEEE. New York, NY: n.p., Web. «

Tornblad, McKenna, et al. "Sensing and Learning Human Annotators Engaged in Narrative Sensemaking." Proceedings of the Student Research Workshop at NAACL. Ed. IEEE. New York, NY: n.p., Web. «

Dominguez, Miguel, et al. "General-Purpose Deep Point Cloud Feature Extractor." Proceedings of the Winter Conference on Applications of Computer Vision. Ed. IEEE. New York, NY: n.p., Web. «

Invited Keynote/Presentation

Ptucha, Ray. "Graph Convolutional Neural Networks." NASA Goddard Workshop on Artificial Intelligence. NASA. Baltimore, MD. 28 Nov. 2018. Guest Lecture. ∆

Ptucha, Ray. "Deep Learning Fundamentals." Tutorial at International Conference on Frontiers of Handwriting Recognition. IEEE. Niagara Falls, NY. 1 Aug. 2018. Keynote Speech. ∆

Ptucha, Ray. "Introduction to Deep Learning for Facial Analysis." Tutorial at Automatic Face and Gesture Recognition Conference. IEEE. Xi'an, China. 21 May 2018. Keynote Speech. ∆

Ptucha, Ray. "Fundamentals of Deep Learning." Tutorial at Electronic Imaging. SPIE. San Francisco, CA. 21 Jan. 2018. Guest Lecture. ∆

2017 Submissions

Journal Paper

Such, F. Petroski, et al. "Robust Spatial Filtering with Graph Convolutional Neural Networks." IEEE Journal of Selected Topics in Signal Processing 11. 6 (2017): 100-113. Print. «

Sah, S., et al. "Video Redaction: A Survey and Comparison of Enabling Technologies." Journal of Electronic Imaging Special issue on Video Analytics for Public Safet. (2017): 200-214. Print. «

Published Conference Proceedings

Nguyen, T., S. Sah, and R. Ptucha. "Multistream Hierarchical Boundary Network for Video Captioning." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, NY: IEEE, 2017. Web. *

Dhamdhere, R., et al. "Deep Learning for Philately Understanding." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, NY: IEEE, 2017. Web. *

Dominguez, M., M. Daigneau, and R. Ptucha. "Source-Separated Audio Input for Accelerating Convolutional Neural Networks." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, NY: IEEE, 2017. Web. *

Sah, S., et al. "Vector Learning for Cross Domain Representations." Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Conference. Ed. IEEE. Washington, DC: IEEE, 2017. Print. «

Kangutkar, R., et al. "ROS Navigation Stack for Smart Indoor Agents." Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Conference. Ed. IEEE. Washington, DC: IEEE, 2017. Print. *

Thomas, T., M. Dominguez, and R. Ptucha. "Deep Independent Audio-Visual Affect Analysis." Proceedings of the Global Conference on Signal and Information Processing. Ed. IEEE. Montreal, Canada: IEEE, 2017. Print. «

Zhang, C., et al. "Semantic Sentence Embeddings for Paraphrasing and Text Summarization." Proceedings of the Global Conference on Signal and Information Processing. Ed. IEEE. Montreal, Canada: IEEE, 2017. Print. «

Sah, S., et al. "Temporally Steered Gaussian Attention for Video Understanding." Proceedings of the CVPR Workshop Deep-Vision: Deep Learning in Computer Vision. Ed. IEEE. Honolulu, Hawaii: IEEE, 2017. Web. «

Sah, S., et al. "Detection without Recognition for Redaction." Proceedings of the CVPR Workshop The First International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security. Ed. IEEE. Honolulu, Hawaii: IEEE, 2017. Web. «

Dominguez, M., et al. "Towards 3D Convolutional Neural Networks with Meshes." Proceedings of the International Conference on Image Processing. Ed. IEEE. Beijing, China: IEEE, 2017. Print. «

Zhang, C., et al. "Batch-Normalized Recurrent Highway Networks." Proceedings of the International Conference on Image Processing. Ed. IEEE. Beijing, China: IEEE, 2017. Print. «

Calderwood, A., et al. "Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions." Proceedings of the Computational Semantics Beyond Events and Roles (SemBEaR). Ed. IEEE. Valencia, Spain: IEEE, 2017. Web. «

Sah, S., et al. "Semantic Text Summarization of Long Videos." Proceedings of the WACV. Ed. IEEE. Santa Rosa, CA: IEEE, 2017. Web. «

Bag, S., V. Venkatachalapathy, and R. Ptucha. "Motion Estimation Using Visual Odometry and Deep Learning Localization." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. IS&T. San Francisco, CA: IS&T, 2017. Web. «

Hssayeni, M., et al. "Distracted Driver Detection: Deep Learning vs Handcrafted Features." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. IS&T. San Francisco, CA: IS&T, 2017. Print. «

Echefu, S., et al. "Milpet — The Self-driving Wheelchair." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. IS&T. San Francisco, CA: IS&T, 2017. Print. «

Provisional Patent

Such, F. Petroski, R. Ptucha, and P. Hutkowski. "System and Method of Character Recognition Using Fully Convolutional Neural Networks." U.S. Provisional Patent Application 20170000000. 1 Oct. 2017.

Such, F. Petroski, R. Ptucha, and P. Hutkowski. "System and Method of Character Recognition Using Fully Convolutional Neural Networks with Attention." U.S. Provisional Patent Application 15812681. 14 Nov. 2017.

Peer Reviewed/Juried Poster Presentation

Lauzon, J., et al. "Milpet- Voice Activated Wheelchair." Proceedings of the Effective Access Technology Conference. Ed. IEEE. Rochester, NY: IEEE. *

Invited Keynote/Presentation

Ptucha, R. and A. Gray. "Fundamentals of Deep Learning." Tutorial at Electronic Imaging. IS&T. San Francisco, CA. 1 Feb. 2017. Lecture.

2016 Submissions

Published Conference Proceedings

Ptucha, Ray, et al. "Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions." Proceedings of the Computational Semantics Beyond Events and Roles. Ed. IEEE. Valencia, Spain: n.p., Print. «

Sah, Shagan, et al. "Semantic Text Summarization of Long Videos." Proceedings of the WACV. Ed. IEEE. Santa Rosa, CA: IEEE, Print. «

Bag, Suvam, Vishwas Venkatachalapathy, and Raymond Ptucha. "Motion Estimation Using Visual Odometry and Deep Learning Localization." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: IS&T, Print. «

Hssayeni, M., et al. "Distracted Driver Detection: Deep Learning vs Handcrafted Features." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., Print. «

Echefu, Sam, et al. "Milpet — The Self-driving Wheelchair." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., Print. «

Nooka, Sai, et al. "Adaptive Hierarchical Classification Networks." Proceedings of the ICPR. Ed. IEEE. Cancun, Mexico: n.p., Print. «

Dushkoff, Michael, Ryan McLaughlin, and Raymond Ptucha. "A Temporally Coherent Neural Algorithm for Artistic Style Transfer." Proceedings of the ICPR. Ed. IEEE. Cancun, Mexico: n.p., Print. «

Kulhare, Sourabh, et al. "Key Frame Extraction for Salient Activity Recognition." Proceedings of the ICPR. Ed. IEEE. Cancun, Mexico: n.p., Print. «

Oruganti, Ram, et al. "Image Description through Fusion Based Recurrent Multi-Modal Learning." Proceedings of the ICIP. Ed. IEEE. Phoenix, AZ: n.p., Print. «

Oak, Mayuresh, et al. "Generating Clinically Relevant Texts: A Case Study on Life-changing Events." Proceedings of the Proceedings of CLPysch Workshop, North American Chapter of the Association for Computational Linguistics- Human Language Technologies (NAACL-HLT). Ed. IEEE. San Diego, CA: n.p., Web. «

Dushkoff, Michael and Raymond Ptucha. "Adaptive Activation Functions for Deep Networks." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., Web. «

Chennupati, Sumanth, et al. "Hierarchical Decomposition of Large Deep Networks." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., Web. «

Rajanna, Arjun Raj, et al. "Prostate Cancer Detection Using Photoacoustic Imaging and Deep Learning." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., Web. «

Avery, Alex, et al. "Autonomous People Mover." Proceedings of the Proceedings of American Society for Engineering Education. Ed. ASEE. Ithaca, NY: n.p., Web. *

2015 Submissions

Published Conference Proceedings

Yousefhussien, Mohammed and Raymond Ptucha. "Flatbed Scanner Simulation to Analyze the Effect of Detector’s Size on Color Artifacts." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., 2015. Print. *

Wong, Adelia and Raymond Ptucha. "Localization Using Omnivision-based Manifold Particle Filters." Proceedings of the Electronic Imaging. Ed. IS&T. San Francisco, CA: n.p., 2015. Print. «

Schrading, Nicolas and Raymond Ptucha. "#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse." Proceedings of the NAACL. Ed. IEEE. Denver, CO: n.p., 2015. Print. «

Kumar, Himanshu and Raymond Ptucha. "GESTURE RECOGNITION USING ACTIVE BODY PARTS AND ACTIVE DIFFERENCE SIGNATURES." Proceedings of the ICIP. Ed. IEEE. Quebec City, Canada: n.p., 2015. Print. «

Rajanna, Arjun Raj and Raymond Ptucha. "Deep Neural Networks: A Case Study for Music Genre Classification." Proceedings of the ICMLA. Ed. IEEE. Miami, FL: n.p., 2015. Print. «

Schrading, Nicolas and Raymond Ptucha. "An Analysis of Domestic Abuse Discourse on Reddit." Proceedings of the EMNLP. Ed. IEEE. Lisbon, Portugal: n.p., 2015. Print. «

2014 Submissions

Journal Paper

Ptucha, R. and A. Savakis. "LGE-KSVD: Robust Sparse Representation Classification." IEEE Transactions on Image Processing 23. 4 (2014): 14. Print. «

Published Conference Proceedings

Savakis, A., R. Rudra, and R. Ptucha. "Gesture Control Using Active Difference Signatures and Sparse Learning." Proceedings of the International Conference on Pattern Recognition. Ed. . Stockholm, Sweden: n.p., 2014. Print. «

Ptucha, R., et al. "Automatic Image Assessment from Facial Attributes." Proceedings of the Electronic Imaging: Computational Imaging. Ed. SPIE. San Francisco, CA: n.p., 2014. Print. *

Merkel, C., D. Kudithipudi, and R. Ptucha. "Heterogeneous CMOS/Memristor Neural Networks for Real-time Target Classification." Proceedings of the SPIE Machine Intelligence and Bio-inspired Computation. Ed. SPIE. Washington, DC: n.p., 2014. Print. *

Invited Keynote/Presentation

Ptucha, R. "Machine Learning with Deep Belief Networks." Western New York Image and Signal Processing Workshop. IEEE. Rochester, NY. 7 Nov. 2014. Lecture.

Ptucha, R. "Machine Learning for Intelligent Behavior." IEEE Rochester Section Joint Chapters Meeting. IEEE. Rochester, NY. 7 Apr. 2014. Keynote Speech.

2013 Submissions

Journal Paper

Ptucha, Raymond and Andreas Savakis. "Manifold Based Sparse Representation for Facial Understanding in Natural Images." Image and Vision Computing 31. (2013): 365-378. Print. *

Book Chapter

Ptucha, Raymond and Andreas Savakis. "Facial Expression Recognition." IGI Global Encyclopedia of Information Science and Technology. : IGI, 2013. Print. *

Published Conference Proceedings

Hays, Phil, Raymond Ptucha, and Andreas Savakis. "Mobile Device to Cloud Co-processing of ASL Finger Spelling to Text Conversion." Proceedings of the Western NY Image Processing Workshop. Rochester, NY: IEEE Xplore, 2013. Web. «

Ptucha, Raymond, Sherif Azary, and Andreas Savakis. "Keypoint Matching and Image Registration Using Sparse Representations." Proceedings of the of International Conference on Image Processing. Ed. IEEE Xplore. Melbourne, AU: IEEE Xplore, 2013. Web. «

Bellmore, Colin, Raymond Ptucha, and Andreas Savakis. "Fusion of Depth and Color for an Improved Active Shape Model." Proceedings of the of International Conference on Image Processing. Ed. IEEE Xplore. Melbourne, AU: IEEE Xplore, 2013. Web. «

Ptucha, Raymond and Andreas Savakis. "LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification." Proceedings of the Computer Vision and Pattern Recognition. Ed. IEEE Xplore. Portland, OR: IEEE Xplore, 2013. Web. «

Ptucha, Raymond and Andreas Savakis. "Joint Optimization of Manifold Learning and Sparse Representations." Proceedings of the Face and Gesture Recognition. Ed. IEEE Xplore. Shanghai, China: IEEE Xplore, 2013. Web. «

Shows/Exhibits/Installations

Ptucha, Raymond. Pervasive Intelligence Aided by Depth Sensors. By Andreas Savakis. 13 Apr. 2013. Harvard University, Boston. Exhibit. *

Invited Keynote/Presentation

Ptucha, Raymond. "Joint Optimization of Manifold Learning and Sparse Representations for Face and Gesture Analysis." Artificial Intelligence Seminar. Cornell University. Ithaca, NY. 12 Mar. 2013. Lecture. ∆