Raymond W. Ptucha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
13
Active years
2010–2020
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | ICPR | Directional Graph Networks with Hard Weight Assignments. | Miguel Domnguez, Raymond W. Ptucha |
| 2020 | PERCOM | Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion. | Cleo Forman, Pablo Thiel, Raymond W. Ptucha, Miguel Domnguez, Cecilia O. Alm |
| 2020 | WSC | Risk-Based A*: Simulation Analysis of a Novel Task Assignment and Path Planning Method. | Maojia Patrick Li, Michael E. Kuhl, Rashmi Ballamajalu, Clark Hochgraf, Raymond W. Ptucha, Amlan Ganguly, Andres Kwasinski |
| 2019 | CCS | Poster: Towards Robust Open-World Detection of Deepfakes. | Saniat Javid Sohrawardi, Akash Chintha, Bao Thai, Sovantharith Seng, Andrea Hickerson, Raymond W. Ptucha, Matthew Wright |
| 2019 | ICIP | Embedded Cyclegan For Shape-Agnostic Image-To-Image Translation. | Ram Longman, Raymond W. Ptucha |
| 2019 | ICIP | Show, Translate and Tell. | Dheeraj Peri, Shagan Sah, Raymond W. Ptucha |
| 2019 | ICMI | Multimodal Anticipated versus Actual Perceptual Reactions. | Monali Saraf, Tyrell Roberts, Raymond W. Ptucha, Christopher Homan, Cecilia Ovesdotter Alm |
| 2019 | WSC | Task Selection by Autonomous Mobile Robots in A Warehouse Using Deep Reinforcement Learning. | Maojia Patrick Li, Prashant Sankaran, Michael E. Kuhl, Raymond W. Ptucha, Amlan Ganguly, Andres Kwasinski |
| 2018 | ICFHR | Fully Convolutional Networks for Handwriting Recognition. | Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha |
| 2018 | NAACL | Sensing and Learning Human Annotators Engaged in Narrative Sensemaking. | McKenna K. Tornblad, Luke Lapresi, Christopher Homan, Raymond W. Ptucha, Cecilia Ovesdotter Alm |
| 2018 | WSC | Simulation Analysis of a Deep Reinforcement Learning Approach for Task Selection by Autonomous material Handling Vehicles. | Maojia Patrick Li, Prashant Sankaran, Michael E. Kuhl, Amlan Ganguly, Andres Kwasinski, Raymond W. Ptucha |
| 2018 | WACV | General-Purpose Deep Point Cloud Feature Extractor. | Miguel Domnguez, Rohan Dhamdhere, Atir Petkar, Saloni Jain, Shagan Sah, Raymond W. Ptucha |
| 2017 | CVPR | Temporally Steered Gaussian Attention for Video Understanding. | Shagan Sah, Thang Nguyen, Miguel Domnguez, Felipe Petroski Such, Raymond W. Ptucha |
| 2017 | ICIP | Towards 3D convolutional neural networks with meshes. | Miguel Domnguez, Felipe Petroski Such, Shagan Sah, Raymond W. Ptucha |
| 2017 | ICIP | Batch-normalized recurrent highway networks. | Chi Zhang, Thang Nguyen, Shagan Sah, Raymond W. Ptucha, Alexander Loui, Carl Salvaggio |
| 2017 | WACV | Semantic Text Summarization of Long Videos. | Shagan Sah, Sourabh Kulhare, Allison Gray, Subhashini Venugopalan, Emily Prud'hommeaux, Raymond W. Ptucha |
| 2016 | ICIP | Image description through fusion based recurrent multi-modal learning. | Ram Manohar Oruganti, Shagan Sah, Suhas Pillai, Raymond W. Ptucha |
| 2016 | ICPR | A temporally coherent neural algorithm for artistic style transfer. | Michael Dushkoff, Ryan McLaughlin, Raymond W. Ptucha |
| 2016 | ICPR | Key frame extraction for salient activity recognition. | Sourabh Kulhare, Shagan Sah, Suhas Pillai, Raymond W. Ptucha |
| 2016 | ICPR | Adaptive hierarchical classification networks. | Sai Prasad Nooka, Sumanth Chennupati, Karthik Veerabhadra, Shagan Sah, Raymond W. Ptucha |
| 2016 | IPAS | Prostate cancer detection using photoacoustic imaging and deep learning. | Arjun Raj Rajanna, Raymond W. Ptucha, Saugata Sinha, Bhargava Chinni, Vikram Dogra, Navalgund Rao |
| 2016 | NAACL | Generating Clinically Relevant Texts: A Case Study on Life-Changing Events. | Mayuresh Oak, Anil Behera, Titus Thomas, Cecilia Ovesdotter Alm, Emily Prud'hommeaux, Christopher Homan, Raymond W. Ptucha |
| 2015 | ICIP | Gesture recognition using active body parts and active difference signatures. | Himanshu Kumar, Raymond W. Ptucha |
| 2015 | ICMLA | Deep Neural Networks: A Case Study for Music Genre Classification. | Arjun Raj Rajanna, Kamelia Aryafar, Ali Shokoufandeh, Raymond W. Ptucha |
| 2015 | NAACL | #WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse. | Nicolas Schrading, Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan |
| 2014 | ICPR | Gesture Control Using Active Difference Signatures and Sparse Learning. | Andreas E. Savakis, Raviteja Rudra, Raymond W. Ptucha |
| 2013 | CVPR | LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. | Raymond W. Ptucha, Andreas E. Savakis |
| 2013 | ICIP | Fusion of depth and color for an improved active shape model. | Colin P. Bellmore, Raymond W. Ptucha, Andreas E. Savakis |
| 2013 | ICIP | Keypoint matching and image registration using sparse representations. | Raymond W. Ptucha, Sherif Azary, Andreas E. Savakis |
| 2012 | ICIP | Fusion of static and temporal predictors for unconstrained facial expression recognition. | Raymond W. Ptucha, Andreas E. Savakis |
| 2012 | ISVC | Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification. | Raymond W. Ptucha, Andreas E. Savakis |
| 2011 | ICIP | Manifold learning for simultaneous pose and facial expression recognition. | Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis |
| 2010 | ICIP | Pose estimation using facial feature points and manifold learning. | Raymond W. Ptucha, Andreas E. Savakis |
| 2010 | ISVC | Facial Expression Recognition Using Facial Features and Manifold Learning. | Raymond W. Ptucha, Andreas E. Savakis |