Raymond W. Ptucha

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 59

Top Topics

Hierarchical Decomposition

Sparse Representation

Top Venues

Computational Imaging

Publications

Abhishek Vashist, Maojia Patrick Li, Amlan Ganguly, Sai Manoj P. D., Clark Hochgraf, Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl
KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware. IEEE Consumer Electron. Mag. 11 (4) (2022)
Manish Sharma, Mayur Dhanaraj, Srivallabha Karnam, Dimitris G. Chachlakis, Raymond W. Ptucha, Panos P. Markopoulos, Eli Saber
YOLOrs: Object Detection in Multimodal Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
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)
Shagan Sah, Sabarish Gopalakrishnan, Raymond W. Ptucha
Aligned attention for common multimodal embeddings. J. Electronic Imaging 29 (2) (2020)
Akash Chintha, Bao Thai, Saniat Javid Sohrawardi, Kartavya Bhatt, Andrea Hickerson, Matthew Wright, Raymond W. Ptucha
Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection. IEEE J. Sel. Top. Signal Process. 14 (5) (2020)
Sumanth Chennupati, Sai Nooka, Shagan Sah, Raymond W. Ptucha
Adaptive Hierarchical Decomposition of Large Deep Networks. CoRR (2020)
Abhishek Vashist, Darshan Ramesh Bhanushali, Robert Relyea, Clark Hochgraf, Amlan Ganguly, Sai Manoj P. D., Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl
Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. ICCE (2020)
Miguel Domínguez, Raymond W. Ptucha
Directional Graph Networks with Hard Weight Assignments. ICPR (2020)
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)
Robert Relyea, Darshan Ramesh Bhanushali, Karan Manghi, Abhishek Vashist, Clark Hochgraf, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha
Improving Multimodal Localization Through Self-Supervision. IRIACV (2020)
Darshan Ramesh Bhanushali, Robert Relyea, Karan Manghi, Abhishek Vashist, Clark Hochgraf, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha
LiDAR-Camera Fusion for 3D Object Detection. Autonomous Vehicles and Machines (2020)
Rashmi Ballamajalu, Maojia Patrick Li, Ferat Sahin, Clark Hochgraf, Raymond W. Ptucha, Michael E. Kuhl
Turn and orientation Sensitive A* for Autonomous Vehicles in Intelligent Material Handling Systems. CASE (2020)
Maojia Patrick Li, Michael E. Kuhl, Rashmi Ballamajalu, Clark Hochgraf, Raymond W. Ptucha, Amlan Ganguly, Andres Kwasinski
Risk-Based A*: Simulation Analysis of a Novel Task Assignment and Path Planning Method. WSC (2020)
Akash Chintha, Aishwarya Rao, Saniat Javid Sohrawardi, Kartavya Bhatt, Matthew Wright, Raymond W. Ptucha
Leveraging edges and optical flow on faces for deepfake detection. IJCB (2020)
Bao Thai, Robert Jimerson, Raymond W. Ptucha, Emily Prud'hommeaux
Fully Convolutional ASR for Less-Resourced Endangered Languages. SLTU/CCURL@LREC (2020)
Dheeraj Peri, Shagan Sah, Raymond W. Ptucha
Show, Translate and Tell. ICIP (2019)
Saniat Javid Sohrawardi, Akash Chintha, Bao Thai, Sovantharith Seng, Andrea Hickerson, Raymond W. Ptucha, Matthew Wright
Poster: Towards Robust Open-World Detection of Deepfakes. CCS (2019)
Sabarish Gopalakrishnan, Premkumar Udaiyar, Shagan Sah, Raymond W. Ptucha
Multi Stage Common Vector Space for Multimodal Embeddings. AIPR (2019)
Raymond W. Ptucha, Felipe Petroski Such, Suhas Pillai, Frank Brockler, Vatsala Singh, Paul Hutkowski
Intelligent character recognition using fully convolutional neural networks. Pattern Recognit. 88 (2019)
Tiantian Yuan, Shagan Sah, Tejaswini Ananthanarayana, Chi Zhang, Aneesh Bhat, Sahaj Gandhi, Raymond W. Ptucha
Large Scale Sign Language Interpretation. FG (2019)
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)
Robert Relyea, Darshan Ramesh Bhanushali, Abhishek Vashist, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha
Multimodal Localization for Autonomous Agents. IRIACV (2019)
Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha
Fully Convolutional Networks for Handwriting Recognition. CoRR (2019)
Monali Saraf, Tyrell Roberts, Raymond W. Ptucha, Christopher Homan, Cecilia Ovesdotter Alm
Multimodal Anticipated versus Actual Perceptual Reactions. ICMI (Adjunct) (2019)
Dheeraj Peri, Shagan Sah, Raymond W. Ptucha
Show, Translate and Tell. CoRR (2019)
Maojia Patrick Li, Prashant Sankaran, Michael E. Kuhl, Raymond W. Ptucha, Amlan Ganguly, Andres Kwasinski
Task Selection by Autonomous Mobile Robots in A Warehouse Using Deep Reinforcement Learning. WSC (2019)
Ram Longman, Raymond W. Ptucha
Embedded Cyclegan For Shape-Agnostic Image-To-Image Translation. ICIP (2019)
Miguel Domínguez, Rohan Dhamdhere, Atir Petkar, Saloni Jain, Shagan Sah, Raymond W. Ptucha
General-Purpose Deep Point Cloud Feature Extractor. WACV (2018)
Robbie Jimerson, Kruthika Simha, Raymond W. Ptucha, Emily Prud'hommeaux
Improving ASR Output for Endangered Language Documentation. SLTU (2018)
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)
Chi Zhang, Shagan Sah, Thang Nguyen, Dheeraj Peri, Alexander Loui, Carl Salvaggio, Raymond W. Ptucha
Semantic Sentence Embeddings for Paraphrasing and Text Summarization. CoRR (2018)
Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha
Fully Convolutional Networks for Handwriting Recognition. ICFHR (2018)
Maojia Patrick Li, Prashant Sankaran, Michael E. Kuhl, Amlan Ganguly, Andres Kwasinski, Raymond W. Ptucha
Simulation Analysis of a Deep Reinforcement Learning Approach for Task Selection by Autonomous material Handling Vehicles. WSC (2018)
Chi Zhang, Thang Nguyen, Shagan Sah, Raymond W. Ptucha, Alexander Loui, Carl Salvaggio
Batch-normalized Recurrent Highway Networks. CoRR (2018)
Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Peri, Ameya Shringi, Raymond W. Ptucha
Vector Learning for Cross Domain Representations. CoRR (2018)
Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis
Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM (2017)
Suvam Bag, Vishwas Venkatachalapathy, Raymond W. Ptucha
Motion Estimation Using Visual Odometry and Deep Learning Localization. Autonomous Vehicles and Machines (2017)
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) (2017)
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)
Miguel Domínguez, Felipe Petroski Such, Shagan Sah, Raymond W. Ptucha
Towards 3D convolutional neural networks with meshes. ICIP (2017)
Samuel Echefu, Jacob Lauzon, Suvam Bag, Rasika Kangutkar, Amar Bhatt, Raymond W. Ptucha
Milpet - The Self-Driving Wheelchair. Autonomous Vehicles and Machines (2017)
Shagan Sah, Thang Nguyen, Miguel Domínguez, Felipe Petroski Such, Raymond W. Ptucha
Temporally Steered Gaussian Attention for Video Understanding. CVPR Workshops (2017)
Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
Robust Spatial Filtering with Graph Convolutional Neural Networks. CoRR (2017)
Shagan Sah, Sourabh Kulhare, Allison Gray, Subhashini Venugopalan, Emily Prud'hommeaux, Raymond W. Ptucha
Semantic Text Summarization of Long Videos. WACV (2017)
Chi Zhang, Thang Nguyen, Shagan Sah, Raymond W. Ptucha, Alexander Loui, Carl Salvaggio
Batch-normalized recurrent highway networks. ICIP (2017)
Titus Thomas, Miguel Domínguez, Raymond W. Ptucha
Deep independent audio-visual affect analysis. GlobalSIP (2017)
Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Kumar Peri, Ameya Shringi, Raymond W. Ptucha
Vector Learning for Cross Domain Representations. AIPR (2017)
Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
Robust Spatial Filtering With Graph Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 11 (6) (2017)
Rasika Kangutkar, Jacob Lauzon, Alexander Synesael, Nicholas Jenis, Kruthika Simha, Raymond W. Ptucha
ROS Navigation Stack for Smart Indoor Agents. AIPR (2017)
Arjun Raj Rajanna, Kamelia Aryafar, Rajeev Ramchandran, Christye Sisson, Ali Shokoufandeh, Raymond W. Ptucha
Neural Networks with Manifold Learning for Diabetic Retinopathy Detection. CoRR (2016)
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)
Sumanth Chennupati, Shagan Sah, Sai Nooka, Raymond W. Ptucha
Hierarchical Decomposition of Large Deep Networks. Computational Imaging (2016)
Ram Manohar Oruganti, Shagan Sah, Suhas Pillai, Raymond W. Ptucha
Image description through fusion based recurrent multi-modal learning. ICIP (2016)
Michael Dushkoff, Raymond W. Ptucha
Adaptive Activation Functions for Deep Networks. Computational Imaging (2016)
Sourabh Kulhare, Shagan Sah, Suhas Pillai, Raymond W. Ptucha
Key frame extraction for salient activity recognition. ICPR (2016)
Michael Dushkoff, Ryan McLaughlin, Raymond W. Ptucha
A temporally coherent neural algorithm for artistic style transfer. ICPR (2016)
Sai Prasad Nooka, Sumanth Chennupati, Karthik Veerabhadra, Shagan Sah, Raymond W. Ptucha
Adaptive hierarchical classification networks. ICPR (2016)
Daniel Simon, Srinivas Sridharan, Shagan Sah, Raymond W. Ptucha, Chris Kanan, Reynold Bailey
Automatic scanpath generation with deep recurrent neural networks. SAP (2016)
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)
Himanshu Kumar, Raymond W. Ptucha
Gesture recognition using active body parts and active difference signatures. ICIP (2015)
Adelia Wong, Mohammed Yousefhussien, Raymond W. Ptucha
Localization using omnivision-based manifold particle filters. Intelligent Robots and Computer Vision: Algorithms and Techniques (2015)
Mohammed Yousefhussien, Roger L. Easton Jr., Raymond W. Ptucha, Mark Q. Shaw, Brent M. Bradburn, Jerry Wagner, David Larson, Eli Saber
Flatbed scanner simulation to analyze the effect of detector's size on color artifacts. Computational Imaging (2015)
Nicolas Schrading, Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan
#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse. HLT-NAACL (2015)
Arjun Raj Rajanna, Kamelia Aryafar, Ali Shokoufandeh, Raymond W. Ptucha
Deep Neural Networks: A Case Study for Music Genre Classification. ICMLA (2015)
Raymond W. Ptucha, Andreas E. Savakis
LGE-KSVD: Robust Sparse Representation Classification. IEEE Trans. Image Process. 23 (4) (2014)
Raymond W. Ptucha, David Kloosterman, Brian Mittelstaedt, Alexander Loui
Automatic image assessment from facial attributes. Computational Imaging (2014)
Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha
Gesture Control Using Active Difference Signatures and Sparse Learning. ICPR (2014)
Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis
Fusion of depth and color for an improved active shape model. ICIP (2013)
Raymond W. Ptucha, Andreas E. Savakis
LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. CVPR Workshops (2013)
Raymond W. Ptucha, David Rhoda, Brian Mittelstaedt
Auto zoom crop from face detection and facial features. Computational Imaging (2013)
Raymond W. Ptucha, Andreas E. Savakis
Manifold based sparse representation for facial understanding in natural images. Image Vis. Comput. 31 (5) (2013)
Raymond W. Ptucha, Andreas E. Savakis
Joint optimization of manifold learning and sparse representations. FG (2013)
Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis
Keypoint matching and image registration using sparse representations. ICIP (2013)
Raymond W. Ptucha, Andreas E. Savakis
Fusion of static and temporal predictors for unconstrained facial expression recognition. ICIP (2012)
Raymond W. Ptucha, Andreas E. Savakis
Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. ISVC (2) (2012)
Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops (2011)
Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
Manifold learning for simultaneous pose and facial expression recognition. ICIP (2011)
Raymond W. Ptucha, Andreas E. Savakis
Pose estimation using facial feature points and manifold learning. ICIP (2010)
Raymond W. Ptucha, Andreas E. Savakis
Facial Expression Recognition Using Facial Features and Manifold Learning. ISVC (3) (2010)
Raymond W. Ptucha, Andreas E. Savakis
Facial pose estimation using a symmetrical feature model. ICME (2009)
Cathleen M. Daniels, Raymond W. Ptucha, Laurie Schaefer
The Necessary Resolution to Zoom and Crop Hardcopy Images. PICS (1999)
Raymond W. Ptucha
Image Quality Assessment of Digital Scanners and Electronic Still Cameras. PICS (1999)