Raymond W. Ptucha

发表

Dheeraj Peri, Shagan Sah, Raymond W. Ptucha, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Temporally Steered Gaussian Attention for Video Understanding

Thang Nguyen, Shagan Sah, Raymond W. Ptucha, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Key frame extraction for salient activity recognition

Shagan Sah, Raymond W. Ptucha, Sourabh Kulhare, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Robust Spatial Filtering With Graph Convolutional Neural Networks

Nathan D. Cahill, Chao Zhang, Shagan Sah, 2017, IEEE Journal of Selected Topics in Signal Processing.

Fusion of static and temporal predictors for unconstrained facial expression recognition

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2012, 2012 19th IEEE International Conference on Image Processing.

Deep Neural Networks: A Case Study for Music Genre Classification

Ali Shokoufandeh, Raymond W. Ptucha, Kamelia Aryafar, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Manifold based Sparse Representation for robust expression recognition without neutral subtraction

Andreas E. Savakis, Raymond W. Ptucha, Grigorios Tsagkatakis, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Facial Expression Recognition Using Facial Features and Manifold Learning

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2010, ISVC.

Hierarchical Decomposition of Large Deep Networks

Shagan Sah, Raymond W. Ptucha, Sumanth Chennupati, 2016, Computational Imaging.

Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2012, ISVC.

The Necessary Resolution to Zoom and Crop Hardcopy Images

Raymond W. Ptucha, Cathleen M. Daniels, Laurie Schaefer, 1999, PICS.

Image description through fusion based recurrent multi-modal learning

Shagan Sah, Raymond W. Ptucha, Suhas Pillai, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

LGE-KSVD: Robust Sparse Representation Classification

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2014, IEEE Transactions on Image Processing.

Batch-normalized recurrent highway networks

Thang Nguyen, Chi Zhang, Shagan Sah, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

An Analysis of Domestic Abuse Discourse on Reddit

Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan, 2015, EMNLP.

Vector Learning for Cross Domain Representations

Thang Nguyen, Chi Zhang, Shagan Sah, 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Semantically Invariant Text-to-Image Generation

Andreas E. Savakis, Chi Zhang, Dheeraj Peri, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Sensing and Learning Human Annotators Engaged in Narrative Sensemaking

Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan, 2018, NAACL-HLT.

Fusion of depth and color for an improved active shape model

Andreas E. Savakis, Raymond W. Ptucha, Colin P. Bellmore, 2013, 2013 IEEE International Conference on Image Processing.

Improving ASR Output for Endangered Language Documentation

Raymond W. Ptucha, Robbie Jimerson, Kruthika Simha, 2018, SLTU.

Prostate cancer detection using photoacoustic imaging and deep learning

Raymond W. Ptucha, Arjun Raj Rajanna, Navalgund Rao, 2016, Image Processing: Algorithms and Systems.

Deep independent audio-visual affect analysis

Raymond W. Ptucha, Miguel Domínguez, Titus Thomas, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Joint optimization of manifold learning and sparse representations

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Keypoint matching and image registration using sparse representations

Andreas E. Savakis, Raymond W. Ptucha, Sherif Azary, 2013, 2013 IEEE International Conference on Image Processing.

Adaptive Activation Functions for Deep Networks

Raymond W. Ptucha, Michael Dushkoff, R. Ptucha, 2016, Computational Imaging.

Image Quality Assessment of Digital Scanners and Electronic Still Cameras

Raymond W. Ptucha, 1999, PICS.

Pose estimation using facial feature points and manifold learning

Andreas E. Savakis, Raymond W. Ptucha, 2010, 2010 IEEE International Conference on Image Processing.

Fully Convolutional Networks for Handwriting Recognition

Dheeraj Peri, Raymond W. Ptucha, Felipe Petroski Such, 2018, 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Generating Clinically Relevant Texts: A Case Study on Life-Changing Events

Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan, 2016, CLPsych@HLT-NAACL.

SIMULATION ANALYSIS OF A DEEP REINFORCEMENT LEARNING APPROACH FOR TASK SELECTION BY AUTONOMOUS MATERIAL HANDLING VEHICLES

Andres Kwasinski, Amlan Ganguly, Raymond W. Ptucha, 2018, 2018 Winter Simulation Conference (WSC).

Towards 3D convolutional neural networks with meshes

Shagan Sah, Raymond W. Ptucha, Miguel Domínguez, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

ROS Navigation Stack for Smart Indoor Agents

Raymond W. Ptucha, Kruthika Simha, Rasika Kangutkar, 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Automatic image assessment from facial attributes

Raymond W. Ptucha, Alexander Loui, David Kloosterman, 2013, Electronic Imaging.

Fully Convolutional ASR for Less-Resourced Endangered Languages

Raymond W. Ptucha, Emily Tucker Prud'hommeaux, Bao Thai, 2020, SLTU.

Neural Networks with Manifold Learning for Diabetic Retinopathy Detection pdf

Ali Shokoufandeh, Raymond W. Ptucha, Kamelia Aryafar, 2016, ArXiv.

Adaptive hierarchical classification networks

Shagan Sah, Raymond W. Ptucha, Sai Prasad Nooka, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A temporally coherent neural algorithm for artistic style transfer

Raymond W. Ptucha, Michael Dushkoff, Ryan McLaughlin, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Multimodal Reconstruction Using Vector Representation

Andreas E. Savakis, John Hamilton, Dheeraj Peri, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Gesture Control Using Active Difference Signatures and Sparse Learning

Andreas E. Savakis, Raymond W. Ptucha, Raviteja Rudra, 2014, 2014 22nd International Conference on Pattern Recognition.

Automatic scanpath generation with deep recurrent neural networks

Shagan Sah, Raymond W. Ptucha, Reynold Bailey, 2016, SAP.

#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse

Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan, 2015, NAACL.

General-Purpose Deep Point Cloud Feature Extractor

Shagan Sah, Raymond W. Ptucha, Miguel Domínguez, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Semantic Text Summarization of Long Videos

Subhashini Venugopalan, Shagan Sah, Raymond W. Ptucha, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Gesture recognition using active body parts and active difference signatures

Raymond W. Ptucha, Himanshu Kumar, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Flatbed scanner simulation to analyze the effect of detector's size on color artifacts

Roger L. Easton, Raymond W. Ptucha, Eli Saber, 2015, Electronic Imaging.

Video redaction: a survey and comparison of enabling technologies

Robert P. Loce, Aaron M. Burry, Shagan Sah, 2017, J. Electronic Imaging.

Manifold learning for simultaneous pose and facial expression recognition

Andreas E. Savakis, Raymond W. Ptucha, Grigorios Tsagkatakis, 2011, 2011 18th IEEE International Conference on Image Processing.

Semantic sentence embeddings for paraphrasing and text summarization

Thang Nguyen, Chi Zhang, Dheeraj Peri, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Intelligent character recognition using fully convolutional neural networks

Raymond W. Ptucha, Felipe Petroski Such, Suhas Pillai, 2019, Pattern Recognit..

Auto zoom crop from face detection and facial features

Raymond W. Ptucha, Brian Mittelstaedt, David Rhoda, 2013, Electronic Imaging.

Facial pose estimation using a symmetrical feature model

Andreas E. Savakis, Raymond W. Ptucha, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Directional Graph Networks with Hard Weight Assignments

Raymond W. Ptucha, Miguel Domínguez, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Milpet – The Self-Driving Wheelchair

Raymond W. Ptucha, Suvam Bag, S. Echefu, 2017 .

Simulation Analysis of a Highway DNN for Autonomous Forklift Dispatching

Raymond W. Ptucha, M. Kuhl, A. Kwasinski, 2019 .

Distracted Driver Detection: Deep Learning vs Handcrafted Features

Andreas Savakis, Raymond W. Ptucha, Raymond Ptucha, 2017 .

LiDAR-Camera Fusion for 3D Object Detection

Andres Kwasinski, Amlan Ganguly, Raymond W. Ptucha, 2020 .

KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware

Andres Kwasinski, Raymond W. Ptucha, Raymond Ptucha, 2022, IEEE Consumer Electronics Magazine.

Manifold based sparse representation for facial understanding in natural images

Andreas Savakis, Raymond W. Ptucha, Raymond Ptucha, 2013, Image Vis. Comput..

Large Scale Sign Language Interpretation

Shagan Sah, Raymond W. Ptucha, Raymond Ptucha, 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

Poster: Towards Robust Open-World Detection of Deepfakes

Saniat Javid Sohrawardi, Raymond W. Ptucha, Raymond Ptucha, 2019, CCS.

Deep Learning for Semantic Video Understanding by Sourabh Kulhare

Raymond W. Ptucha, R. Ptucha, Sourabh Kulhare, 2017 .

Heterogeneous CMOS/memristor hardware neural networks for real-time target classification

Cory Merkel, Raymond W. Ptucha, Raymond Ptucha, 2014, Sensing Technologies + Applications.

Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study

Cecilia Ovesdotter Alm, Raymond W. Ptucha, Catherine Cerulli, 2020, Journal of medical Internet research.

A Human Factors Engineering Education Perspective on Data Science, Machine Learning and Automation

John D. Lee, Esa M. Rantanen, Raymond W. Ptucha, 2019, Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion

Cecilia Ovesdotter Alm, Raymond W. Ptucha, Raymond Ptucha, 2020, 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

The Emotional Impact of Audio-Visual Stimuli By , Titus Pallithottathu

Raymond W. Ptucha, R. Ptucha, Thomas, 2017 .

Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection

Saniat Javid Sohrawardi, Raymond W. Ptucha, Raymond Ptucha, 2020, IEEE Journal of Selected Topics in Signal Processing.

Leveraging edges and optical flow on faces for deepfake detection

Saniat Javid Sohrawardi, Raymond W. Ptucha, Raymond Ptucha, 2020, 2020 IEEE International Joint Conference on Biometrics (IJCB).

Deep Learning Methods for Sign Language Translation

Shagan Sah, Raymond W. Ptucha, Raymond Ptucha, 2021, ACM Trans. Access. Comput..

Understanding temporal structure for video captioning

Thang Nguyen, Shagan Sah, Raymond W. Ptucha, 2019, Pattern Analysis and Applications.