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SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery


Aug 11, 2021
Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras

* version 1.0.0 

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FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation


Aug 10, 2021
ShahRukh Athar, Zhixin Shu, Dimitris Samaras

* version 1.0.0 

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Temporal Feature Warping for Video Shadow Detection


Jul 29, 2021
Shilin Hu, Hieu Le, Dimitris Samaras


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Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms


Jul 13, 2021
Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna

* This work will be presented at MICCAI 2021 

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Artificial Intelligence in Drug Discovery: Applications and Techniques


Jun 11, 2021
Jianyuan Deng, Zhibo Yang, Dimitris Samaras, Fusheng Wang

* Minor text revisions 

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Artificial Intelligence in Drug Discovery:Applications and Techniques


Jun 09, 2021
Jianyuan Deng, Zhibo Yang, Dimitris Samaras, Fusheng Wang


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Hierarchical Proxy-based Loss for Deep Metric Learning


Mar 25, 2021
Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Doug Gray, Dimitris Samaras


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Topology-Aware Segmentation Using Discrete Morse Theory


Mar 18, 2021
Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen

* 19 pages, 11 figures 

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Physics-based Shadow Image Decomposition for Shadow Removal


Dec 23, 2020
Hieu Le, Dimitris Samaras

* arXiv admin note: substantial text overlap with arXiv:1908.08628, arXiv:2008.00267 

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FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction


Dec 23, 2020
ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer, Dimitris Samaras

* Fixed errors in acknowledgements 

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Localization in the Crowd with Topological Constraints


Dec 23, 2020
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen

* AAAI 2021 

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Modeling Deep Learning Based Privacy Attacks on Physical Mail


Dec 22, 2020
Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling

* Source code: https://github.com/BingyaoHuang/Neural-STE 

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Intrinsic Decomposition of Document Images In-the-Wild


Nov 29, 2020
Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, Maria Vanrell, Dimitris Samaras

* This a modified version of the BMVC 2020 accepted manuscript 

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Distribution Matching for Crowd Counting


Oct 25, 2020
Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai

* NeurIPS 2020 

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Learning Clusterable Visual Features for Zero-Shot Recognition


Oct 14, 2020
Jingyi Xu, Zhixin Shu, Dimitris Samaras


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Variational Transfer Learning for Fine-grained Few-shot Visual Recognition


Oct 12, 2020
Jingyi Xu, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras


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A Study of Human Gaze Behavior During Visual Crowd Counting


Sep 27, 2020
Raji Annadi, Yupei Chen, Viresh Ranjan, Dimitris Samaras, Gregory Zelinsky, Minh Hoai


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Light Direction and Color Estimation from Single Image with Deep Regression


Sep 18, 2020
Hassan A. Sial, Ramon Baldrich, Maria Vanrell, Dimitris Samaras

* Conference: London Imaging Meeting 2020 

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From Shadow Segmentation to Shadow Removal


Aug 01, 2020
Hieu Le, Dimitris Samaras

* Accepted at ECCV 2020. All code, trained models, and data are available (soon) at: https://www3.cs.stonybrook. edu/~cvl/projects/FSS2SR/index.html 

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Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning


Jun 25, 2020
Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory Zelinsky, Dimitris Samaras, Minh Hoai

* 16 pages, 13 figures, CVPR 2020 

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Towards Better Opioid Antagonists Using Deep Reinforcement Learning


Mar 26, 2020
Jianyuan Deng, Zhibo Yang, Yao Li, Dimitris Samaras, Fusheng Wang

* 10 pages, 7 figures 

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Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types


Feb 18, 2020
Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz


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Self-supervised Deformation Modeling for Facial Expression Editing


Nov 05, 2019
ShahRukh Athar, Zhixin Shu, Dimitris Samaras


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Exascale Deep Learning to Accelerate Cancer Research


Sep 26, 2019
Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel Saltz

* Submitted to IEEE Big Data 

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