Raymond W. Ptucha

Orcid: 0000-0002-2712-7429

Affiliations:
  • Rochester Institute of Technology, Kate Gleason College of Engineering
  • Eastman Kodak Company, Rochester, USA


According to our database1, Raymond W. Ptucha authored at least 82 papers between 1999 and 2022.

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Bibliography

2022
KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware.
IEEE Consumer Electron. Mag., 2022

2021
Deep Learning Methods for Sign Language Translation.
ACM Trans. Access. Comput., 2021

YOLOrs: Object Detection in Multimodal Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Understanding temporal structure for video captioning.
Pattern Anal. Appl., 2020

Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection.
IEEE J. Sel. Top. Signal Process., 2020

Aligned attention for common multimodal embeddings.
J. Electronic Imaging, 2020

Adaptive Hierarchical Decomposition of Large Deep Networks.
CoRR, 2020

Risk-Based A*: Simulation Analysis of a Novel Task Assignment and Path Planning Method.
Proceedings of the Winter Simulation Conference, 2020

Fully Convolutional ASR for Less-Resourced Endangered Languages.
Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages and Collaboration and Computing for Under-Resourced Languages, 2020

Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Adding uncertainty to dermatological assistance.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Directional Graph Networks with Hard Weight Assignments.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020

Leveraging edges and optical flow on faces for deepfake detection.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

Improving Multimodal Localization Through Self-Supervision.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2020, 2020

Deep Learning based Fruit Freshness Classification and Detection with CMOS Image sensors and Edge processors.
Proceedings of the Food and Agricultural Imaging Systems 2020, 2020

LiDAR-Camera Fusion for 3D Object Detection.
Proceedings of the Autonomous Vehicles and Machines 2020, 2020

Turn and orientation Sensitive A* for Autonomous Vehicles in Intelligent Material Handling Systems.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Intelligent character recognition using fully convolutional neural networks.
Pattern Recognit., 2019

Task Selection by Autonomous Mobile Robots in A Warehouse Using Deep Reinforcement Learning.
Proceedings of the 2019 Winter Simulation Conference, 2019

Multimodal Anticipated versus Actual Perceptual Reactions.
Proceedings of the Adjunct of the 2019 International Conference on Multimodal Interaction, 2019

Show, Translate and Tell.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Embedded Cyclegan For Shape-Agnostic Image-To-Image Translation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Large Scale Sign Language Interpretation.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Multimodal Localization for Autonomous Agents.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2019, 2019

Autonomous navigation using localization priors, sensor fusion, and terrain classification.
Proceedings of the Autonomous Vehicles and Machines 2019, 2019

Poster: Towards Robust Open-World Detection of Deepfakes.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Multi Stage Common Vector Space for Multimodal Embeddings.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018
Simulation Analysis of a Deep Reinforcement Learning Approach for Task Selection by Autonomous material Handling Vehicles.
Proceedings of the 2018 Winter Simulation Conference, 2018

General-Purpose Deep Point Cloud Feature Extractor.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Improving ASR Output for Endangered Language Documentation.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

Sensing and Learning Human Annotators Engaged in Narrative Sensemaking.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Multimodal Reconstruction Using Vector Representation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Semantically Invariant Text-to-Image Generation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Fully Convolutional Networks for Handwriting Recognition.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2017
Robust Spatial Filtering With Graph Convolutional Neural Networks.
IEEE J. Sel. Top. Signal Process., 2017

Video redaction: a survey and comparison of enabling technologies.
J. Electronic Imaging, 2017

Semantic Text Summarization of Long Videos.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Batch-normalized recurrent highway networks.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Towards 3D convolutional neural networks with meshes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Semantic sentence embeddings for paraphrasing and text summarization.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Deep independent audio-visual affect analysis.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Distracted Driver Detection: Deep Learning vs Handcrafted Features.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2017, Burlingame, CA, USA, January 29, 2017

Milpet - The Self-Driving Wheelchair.
Proceedings of the Autonomous Vehicles and Machines 2017, Burlingame, CA, USA, January 29, 2017

Motion Estimation Using Visual Odometry and Deep Learning Localization.
Proceedings of the Autonomous Vehicles and Machines 2017, Burlingame, CA, USA, January 29, 2017

Temporally Steered Gaussian Attention for Video Understanding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Vector Learning for Cross Domain Representations.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

ROS Navigation Stack for Smart Indoor Agents.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016
Neural Networks with Manifold Learning for Diabetic Retinopathy Detection.
CoRR, 2016

Generating Clinically Relevant Texts: A Case Study on Life-Changing Events.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Prostate cancer detection using photoacoustic imaging and deep learning.
Proceedings of the Image Processing: Algorithms and Systems XIV, 2016

Adaptive hierarchical classification networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Key frame extraction for salient activity recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A temporally coherent neural algorithm for artistic style transfer.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Image description through fusion based recurrent multi-modal learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Adaptive Activation Functions for Deep Networks.
Proceedings of the Computational Imaging XIV, San Francisco, 2016

Hierarchical Decomposition of Large Deep Networks.
Proceedings of the Computational Imaging XIV, San Francisco, 2016

Automatic scanpath generation with deep recurrent neural networks.
Proceedings of the ACM Symposium on Applied Perception, 2016

2015
#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Deep Neural Networks: A Case Study for Music Genre Classification.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Gesture recognition using active body parts and active difference signatures.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An Analysis of Domestic Abuse Discourse on Reddit.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Localization using omnivision-based manifold particle filters.
Proceedings of the Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 2015

Flatbed scanner simulation to analyze the effect of detector's size on color artifacts.
Proceedings of the Computational Imaging XIII, 2015

2014
LGE-KSVD: Robust Sparse Representation Classification.
IEEE Trans. Image Process., 2014

Gesture Control Using Active Difference Signatures and Sparse Learning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Automatic image assessment from facial attributes.
Proceedings of the Computational Imaging XII, 2014

2013
Manifold based sparse representation for facial understanding in natural images.
Image Vis. Comput., 2013

Keypoint matching and image registration using sparse representations.
Proceedings of the IEEE International Conference on Image Processing, 2013

Fusion of depth and color for an improved active shape model.
Proceedings of the IEEE International Conference on Image Processing, 2013

Joint optimization of manifold learning and sparse representations.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Auto zoom crop from face detection and facial features.
Proceedings of the Computational Imaging XI, 2013

2012
Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

Fusion of static and temporal predictors for unconstrained facial expression recognition.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Manifold learning for simultaneous pose and facial expression recognition.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Manifold based Sparse Representation for robust expression recognition without neutral subtraction.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010
Facial Expression Recognition Using Facial Features and Manifold Learning.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Pose estimation using facial feature points and manifold learning.
Proceedings of the International Conference on Image Processing, 2010

2009
Facial pose estimation using a symmetrical feature model.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

1999
Image Quality Assessment of Digital Scanners and Electronic Still Cameras.
Proceedings of the PICS 1999: Proceedings of the Conference on Image Processing, 1999

The Necessary Resolution to Zoom and Crop Hardcopy Images.
Proceedings of the PICS 1999: Proceedings of the Conference on Image Processing, 1999


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