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Raymond W. Ptucha
Ray Ptucha
Person information
- affiliation: Rochester Institute of Technology, Kate Gleason College of Engineering
- affiliation: Eastman Kodak Company, Rochester, USA
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2020 – today
- 2022
- [j11]Abhishek Vashist
, Maojia Patrick Li, Amlan Ganguly
KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware. IEEE Consumer Electron. Mag. 11(4): 65-77 (2022) - 2021
- [j10]Manish Sharma
YOLOrs: Object Detection in Multimodal Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1497-1508 (2021) - [j9]Tejaswini Ananthanarayana, Priyanshu Srivastava, Akash Chintha, Akhil Santha, Brian Landy, Joseph Panaro, Andre Webster, Nikunj R. Kotecha, Shagan Sah, Thomastine Sarchet
Deep Learning Methods for Sign Language Translation. ACM Trans. Access. Comput. 14(4): 22:1-22:30 (2021) - 2020
- [j8]Shagan Sah, Sabarish Gopalakrishnan, Raymond W. Ptucha:
Aligned attention for common multimodal embeddings. J. Electronic Imaging 29(2): 023013 (2020) - [j7]Akash Chintha
Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection. IEEE J. Sel. Top. Signal Process. 14(5): 1024-1037 (2020) - [j6]Shagan Sah
Understanding temporal structure for video captioning. Pattern Anal. Appl. 23(1): 147-159 (2020) - [c69]Rashmi Ballamajalu, Maojia Patrick Li, Ferat Sahin, Clark Hochgraf
Turn and orientation Sensitive A* for Autonomous Vehicles in Intelligent Material Handling Systems. CASE 2020: 606-611 - [c68]Darshan Ramesh Bhanushali, Robert Relyea, Karan Manghi, Abhishek Vashist, Clark Hochgraf
LiDAR-Camera Fusion for 3D Object Detection. Autonomous Vehicles and Machines 2020: 1-9 - [c67]Tejaswini Ananthanarayana, Raymond W. Ptucha, Sean C. Kelly:
Deep Learning based Fruit Freshness Classification and Detection with CMOS Image sensors and Edge processors. Food and Agricultural Imaging Systems 2020: 1-7 - [c66]Robert Relyea, Darshan Ramesh Bhanushali, Karan Manghi, Abhishek Vashist, Clark Hochgraf
Improving Multimodal Localization Through Self-Supervision. IRIACV 2020: 1-8 - [c65]Akash Chintha, Aishwarya Rao, Saniat Javid Sohrawardi
Leveraging edges and optical flow on faces for deepfake detection. IJCB 2020: 1-10 - [c64]Abhishek Vashist, Darshan Ramesh Bhanushali, Robert Relyea, Clark Hochgraf
Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. ICCE 2020: 1-6 - [c63]Miguel Domínguez, Raymond W. Ptucha:
Directional Graph Networks with Hard Weight Assignments. ICPR 2020: 7439-7446 - [c62]Jaideep Vitthal Murkute, Ronit J. Damania, Nitinraj R. Nair, Nikunj R. Kotecha, Chris Wicks, Robert Phipps, Raymond W. Ptucha, Art Papier:
Adding uncertainty to dermatological assistance. Image Processing 2020: 113131H - [c61]Cleo Forman, Pablo Thiel, Raymond W. Ptucha, Miguel Domínguez, Cecilia O. Alm:
Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion. PerCom Workshops 2020: 1-6 - [c60]Bao Thai, Robert Jimerson, Raymond W. Ptucha, Emily Prud'hommeaux:
Fully Convolutional ASR for Less-Resourced Endangered Languages. SLTU-CCURL@LREC 2020: 126-130 - [c59]Maojia Patrick Li, Michael E. Kuhl, Rashmi Ballamajalu, Clark Hochgraf
Risk-Based A*: Simulation Analysis of a Novel Task Assignment and Path Planning Method. WSC 2020: 563-571 - [i9]Sumanth Chennupati, Sai Nooka, Shagan Sah, Raymond W. Ptucha:
Adaptive Hierarchical Decomposition of Large Deep Networks. CoRR abs/2008.00809 (2020)
2010 – 2019
- 2019
- [j5]Raymond W. Ptucha, Felipe Petroski Such, Suhas Pillai, Frank Brockler, Vatsala Singh
Intelligent character recognition using fully convolutional neural networks. Pattern Recognit. 88: 604-613 (2019) - [c58]Sabarish Gopalakrishnan, Premkumar Udaiyar, Shagan Sah, Raymond W. Ptucha:
Multi Stage Common Vector Space for Multimodal Embeddings. AIPR 2019: 1-5 - [c57]Saniat Javid Sohrawardi
Poster: Towards Robust Open-World Detection of Deepfakes. CCS 2019: 2613-2615 - [c56]Zachariah Carmichael, Benjamin Glasstone, Frank Cwitkowitz, Kenneth Alexopoulos, Robert Relyea, Raymond W. Ptucha:
Autonomous navigation using localization priors, sensor fusion, and terrain classification. Autonomous Vehicles and Machines 2019: 1-7 - [c55]Robert Relyea, Darshan Ramesh Bhanushali, Abhishek Vashist, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha:
Multimodal Localization for Autonomous Agents. IRIACV 2019: 1-8 - [c54]Tiantian Yuan, Shagan Sah, Tejaswini Ananthanarayana, Chi Zhang, Aneesh Bhat, Sahaj Gandhi, Raymond W. Ptucha:
Large Scale Sign Language Interpretation. FG 2019: 1-5 - [c53]Dheeraj Peri, Shagan Sah, Raymond W. Ptucha:
Show, Translate and Tell. ICIP 2019: 295-299 - [c52]Ram Longman, Raymond W. Ptucha:
Embedded Cyclegan For Shape-Agnostic Image-To-Image Translation. ICIP 2019: 969-973 - [c51]Monali Saraf, Tyrell Roberts, Raymond W. Ptucha, Christopher Homan, Cecilia Ovesdotter Alm:
Multimodal Anticipated versus Actual Perceptual Reactions. ICMI (Adjunct) 2019: 2:1-2:5 - [c50]Maojia Patrick Li, Prashant Sankaran
Task Selection by Autonomous Mobile Robots in A Warehouse Using Deep Reinforcement Learning. WSC 2019: 680-689 - [i8]Dheeraj Peri, Shagan Sah, Raymond W. Ptucha:
Show, Translate and Tell. CoRR abs/1903.06275 (2019) - [i7]Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha:
Fully Convolutional Networks for Handwriting Recognition. CoRR abs/1907.04888 (2019) - 2018
- [c49]Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha:
Fully Convolutional Networks for Handwriting Recognition. ICFHR 2018: 86-91 - [c48]Shagan Sah, Ameya Shringi, Dheeraj Peri, John Hamilton, Andreas E. Savakis, Ray Ptucha:
Multimodal Reconstruction Using Vector Representation. ICIP 2018: 3763-3767 - [c47]Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha:
Semantically Invariant Text-to-Image Generation. ICIP 2018: 3783-3787 - [c46]McKenna K. Tornblad, Luke Lapresi, Christopher Homan, Raymond W. Ptucha, Cecilia Ovesdotter Alm:
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking. NAACL-HLT (Student Research Workshop) 2018: 136-143 - [c45]Robbie Jimerson, Kruthika Simha, Raymond W. Ptucha, Emily Prud'hommeaux:
Improving ASR Output for Endangered Language Documentation. SLTU 2018: 187-191 - [c44]Miguel Domínguez, Rohan Dhamdhere
General-Purpose Deep Point Cloud Feature Extractor. WACV 2018: 1972-1981 - [c43]Maojia Patrick Li, Prashant Sankaran
Simulation Analysis of a Deep Reinforcement Learning Approach for Task Selection by Autonomous material Handling Vehicles. WSC 2018: 1073-1083 - [i6]Chi Zhang, Shagan Sah, Thang Nguyen, Dheeraj Peri, Alexander Loui, Carl Salvaggio, Raymond W. Ptucha:
Semantic Sentence Embeddings for Paraphrasing and Text Summarization. CoRR abs/1809.10267 (2018) - [i5]Chi Zhang, Thang Nguyen, Shagan Sah, Raymond W. Ptucha, Alexander Loui, Carl Salvaggio:
Batch-normalized Recurrent Highway Networks. CoRR abs/1809.10271 (2018) - [i4]Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha:
Semantically Invariant Text-to-Image Generation. CoRR abs/1809.10274 (2018) - [i3]Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Peri, Ameya Shringi, Raymond W. Ptucha:
Vector Learning for Cross Domain Representations. CoRR abs/1809.10312 (2018) - 2017
- [j4]Shagan Sah, Ameya Shringi, Raymond W. Ptucha, Aaron Burry, Robert P. Loce:
Video redaction: a survey and comparison of enabling technologies. J. Electronic Imaging 26(5): 51406 (2017) - [j3]Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill
Robust Spatial Filtering With Graph Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 11(6): 884-896 (2017) - [c42]Rasika Kangutkar, Jacob Lauzon, Alexander Synesael, Nicholas Jenis, Kruthika Simha, Raymond W. Ptucha:
ROS Navigation Stack for Smart Indoor Agents. AIPR 2017: 1-10 - [c41]Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Kumar Peri, Ameya Shringi, Raymond W. Ptucha:
Vector Learning for Cross Domain Representations. AIPR 2017: 1-5 - [c40]Shagan Sah, Thang Nguyen, Miguel Domínguez, Felipe Petroski Such, Raymond W. Ptucha:
Temporally Steered Gaussian Attention for Video Understanding. CVPR Workshops 2017: 2208-2216 - [c39]Samuel Echefu, Jacob Lauzon, Suvam Bag, Rasika Kangutkar, Amar Bhatt, Raymond W. Ptucha:
Milpet - The Self-Driving Wheelchair. Autonomous Vehicles and Machines 2017: 41-49 - [c38]Suvam Bag, Vishwas Venkatachalapathy, Raymond W. Ptucha:
Motion Estimation Using Visual Odometry and Deep Learning Localization. Autonomous Vehicles and Machines 2017: 62-69 - [c37]Murtadha D. Hssayeni
Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM 2017: 20-26 - [c36]Chi Zhang, Shagan Sah, Thang Nguyen, Dheeraj Peri, Alexander Loui, Carl Salvaggio, Raymond W. Ptucha:
Semantic sentence embeddings for paraphrasing and text summarization. GlobalSIP 2017: 705-709 - [c35]Titus Thomas, Miguel Domínguez, Raymond W. Ptucha:
Deep independent audio-visual affect analysis. GlobalSIP 2017: 1417-1421 - [c34]Chi Zhang, Thang Nguyen, Shagan Sah, Raymond W. Ptucha, Alexander Loui, Carl Salvaggio:
Batch-normalized recurrent highway networks. ICIP 2017: 640-644 - [c33]Miguel Domínguez, Felipe Petroski Such, Shagan Sah, Raymond W. Ptucha:
Towards 3D convolutional neural networks with meshes. ICIP 2017: 3929-3933 - [c32]Shagan Sah, Sourabh Kulhare, Allison Gray, Subhashini Venugopalan, Emily Prud'hommeaux, Raymond W. Ptucha:
Semantic Text Summarization of Long Videos. WACV 2017: 989-997 - [i2]Felipe Petroski Such
Robust Spatial Filtering with Graph Convolutional Neural Networks. CoRR abs/1703.00792 (2017) - 2016
- [c31]Daniel Simon, Srinivas Sridharan, Shagan Sah, Raymond W. Ptucha, Chris Kanan, Reynold Bailey:
Automatic scanpath generation with deep recurrent neural networks. SAP 2016: 130 - [c30]Sumanth Chennupati, Shagan Sah, Sai Nooka, Raymond W. Ptucha:
Hierarchical Decomposition of Large Deep Networks. Computational Imaging 2016: 1-6 - [c29]Michael Dushkoff, Raymond W. Ptucha:
Adaptive Activation Functions for Deep Networks. Computational Imaging 2016: 1-5 - [c28]Ram Manohar Oruganti, Shagan Sah, Suhas Pillai, Raymond W. Ptucha:
Image description through fusion based recurrent multi-modal learning. ICIP 2016: 3613-3617 - [c27]Sourabh Kulhare, Shagan Sah, Suhas Pillai, Raymond W. Ptucha:
Key frame extraction for salient activity recognition. ICPR 2016: 835-840 - [c26]Michael Dushkoff, Ryan McLaughlin, Raymond W. Ptucha:
A temporally coherent neural algorithm for artistic style transfer. ICPR 2016: 3288-3293 - [c25]Sai Prasad Nooka, Sumanth Chennupati, Karthik Veerabhadra, Shagan Sah, Raymond W. Ptucha:
Adaptive hierarchical classification networks. ICPR 2016: 3578-3583 - [c24]Arjun Raj Rajanna, Raymond W. Ptucha, Saugata Sinha, Bhargava Chinni, Vikram Dogra, Navalgund Rao:
Prostate cancer detection using photoacoustic imaging and deep learning. Image Processing: Algorithms and Systems 2016: 1-6 - [c23]Mayuresh Oak, Anil Behera, Titus Thomas, Cecilia Ovesdotter Alm, Emily Prud'hommeaux, Christopher Homan, Raymond W. Ptucha:
Generating Clinically Relevant Texts: A Case Study on Life-Changing Events. CLPsych@HLT-NAACL 2016: 85-94 - [i1]Arjun Raj Rajanna, Kamelia Aryafar, Rajeev S. Ramchandran, Christye Sisson, Ali Shokoufandeh, Raymond W. Ptucha:
Neural Networks with Manifold Learning for Diabetic Retinopathy Detection. CoRR abs/1612.03961 (2016) - 2015
- [c22]Mohammed Yousefhussien, Roger L. Easton Jr., Raymond W. Ptucha, Mark Q. Shaw, Brent M. Bradburn, Jerry K. Wagner, David Larson, Eli Saber:
Flatbed scanner simulation to analyze the effect of detector's size on color artifacts. Computational Imaging 2015: 94010H - [c21]Adelia Wong, Mohammed Yousefhussien, Raymond W. Ptucha:
Localization using omnivision-based manifold particle filters. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 940606 - [c20]Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha, Christopher Homan:
An Analysis of Domestic Abuse Discourse on Reddit. EMNLP 2015: 2577-2583 - [c19]Himanshu Kumar, Raymond W. Ptucha:
Gesture recognition using active body parts and active difference signatures. ICIP 2015: 2364-2368 - [c18]Arjun Raj Rajanna, Kamelia Aryafar, Ali Shokoufandeh, Raymond W. Ptucha:
Deep Neural Networks: A Case Study for Music Genre Classification. ICMLA 2015: 655-660 - [c17]Nicolas Schrading, Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan:
#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse. HLT-NAACL 2015: 1281-1286 - 2014
- [j2]Raymond W. Ptucha, Andreas E. Savakis:
LGE-KSVD: Robust Sparse Representation Classification. IEEE Trans. Image Process. 23(4): 1737-1750 (2014) - [c16]Raymond W. Ptucha, David Kloosterman, Brian Mittelstaedt, Alexander Loui:
Automatic image assessment from facial attributes. Computational Imaging 2014: 90200C - [c15]Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha:
Gesture Control Using Active Difference Signatures and Sparse Learning. ICPR 2014: 3969-3974 - 2013
- [j1]Raymond W. Ptucha, Andreas E. Savakis:
Manifold based sparse representation for facial understanding in natural images. Image Vis. Comput. 31(5): 365-378 (2013) - [c14]Raymond W. Ptucha, David Rhoda, Brian Mittelstaedt:
Auto zoom crop from face detection and facial features. Computational Imaging 2013: 865706 - [c13]Raymond W. Ptucha, Andreas E. Savakis:
LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. CVPR Workshops 2013: 854-861 - [c12]Raymond W. Ptucha, Andreas E. Savakis:
Joint optimization of manifold learning and sparse representations. FG 2013: 1-7 - [c11]Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis:
Fusion of depth and color for an improved active shape model. ICIP 2013: 330-334 - [c10]Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis:
Keypoint matching and image registration using sparse representations. ICIP 2013: 780-784 - 2012
- [c9]Raymond W. Ptucha, Andreas E. Savakis:
Fusion of static and temporal predictors for unconstrained facial expression recognition. ICIP 2012: 2597-2600 - [c8]Raymond W. Ptucha, Andreas E. Savakis:
Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. ISVC (2) 2012: 388-397 - 2011
- [c7]Raymond W. Ptucha, Grigorios Tsagkatakis
Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops 2011: 2136-2143 - [c6]Raymond W. Ptucha, Grigorios Tsagkatakis
Manifold learning for simultaneous pose and facial expression recognition. ICIP 2011: 3021-3024 - 2010
- [c5]Raymond W. Ptucha, Andreas E. Savakis:
Pose estimation using facial feature points and manifold learning. ICIP 2010: 3261-3264 - [c4]Raymond W. Ptucha, Andreas E. Savakis:
Facial Expression Recognition Using Facial Features and Manifold Learning. ISVC (3) 2010: 301-309
2000 – 2009
- 2009
- [c3]Raymond W. Ptucha, Andreas E. Savakis:
Facial pose estimation using a symmetrical feature model. ICME 2009: 1664-1667
1990 – 1999
- 1999
- [c2]Raymond W. Ptucha:
Image Quality Assessment of Digital Scanners and Electronic Still Cameras. PICS 1999: 125-130 - [c1]Cathleen M. Daniels, Raymond W. Ptucha, Laurie Schaefer:
The Necessary Resolution to Zoom and Crop Hardcopy Images. PICS 1999: 143-148
Coauthor Index
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last updated on 2024-11-28 21:24 CET by the dblp team
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