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ORCIDDimitris Samaras
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- affiliation: Stony Brook University, USA
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2020 – today
- 2022
[j30]Jianyuan Deng, Zhibo Yang, Iwao Ojima, Dimitris Samaras, Fusheng Wang:
Artificial intelligence in drug discovery: applications and techniques. Briefings Bioinform. 23(1) (2022)- [c125]Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. ISBI 2022: 1-5 - [c124]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Doug Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. WACV 2022: 449-458 - [i53]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna:
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. CoRR abs/2201.07344 (2022) - [i52]Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual attention analysis of pathologists examining whole slide images of Prostate cancer. CoRR abs/2202.08437 (2022) - [i51]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Self Pre-training with Masked Autoencoders for Medical Image Analysis. CoRR abs/2203.05573 (2022) - [i50]Mahmudul Hasan, Jakub R. Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin M. Kurç, Kenneth R. Shroyer, Joel H. Saltz:
A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. CoRR abs/2204.12283 (2022) - 2021
- [j29]Zijun Wei
, Boyu Wang, Minh Hoai, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Dimitris Samaras:
Sequence-to-Segments Networks for Detecting Segments in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1009-1021 (2021) - [j28]Le Hou, Tomás F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1337-1351 (2021) - [j27]Sohee Kim Park, Arani Bhattacharya, Zhibo Yang, Samir R. Das, Dimitris Samaras:
Mosaic: Advancing User Quality of Experience in 360-Degree Video Streaming With Machine Learning. IEEE Trans. Netw. Serv. Manag. 18(1): 1000-1015 (2021) - [c123]Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras:
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. 3DV 2021: 815-824 - [c122]Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. AAAI 2021: 872-881 - [c121]Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling:
Modeling Deep Learning Based Privacy Attacks on Physical Mail. AAAI 2021: 1593-1601 - [c120]Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. CVPR Workshops 2021: 3776-3784 - [c119]Xuan Xu, Dimitris Samaras, Prateek Prasanna:
Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma. EMBC 2021: 3998-4001 - [c118]Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Multi-Class Cell Detection Using Spatial Context Representation. ICCV 2021: 3985-3994 - [c117]Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras:
End-to-end Piece-wise Unwarping of Document Images. ICCV 2021: 4248-4257 - [c116]Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras:
Variational Feature Disentangling for Fine-Grained Few-Shot Classification. ICCV 2021: 8792-8801 - [c115]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR 2021 - [c114]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna:
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) 2021: 345-355 - [c113]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. MICCAI (7) 2021: 356-366 - [i49]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i48]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. CoRR abs/2103.13538 (2021) - [i47]Jianyuan Deng, Zhibo Yang, Dimitris Samaras, Fusheng Wang:
Artificial Intelligence in Drug Discovery: Applications and Techniques. CoRR abs/2106.05386 (2021) - [i46]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. CoRR abs/2107.06276 (2021) - [i45]Shilin Hu, Hieu M. Le, Dimitris Samaras:
Temporal Feature Warping for Video Shadow Detection. CoRR abs/2107.14287 (2021) - [i44]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation. CoRR abs/2108.04913 (2021) - [i43]Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras:
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. CoRR abs/2108.05465 (2021) - [i42]Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Multi-Class Cell Detection Using Spatial Context Representation. CoRR abs/2110.04886 (2021) - [i41]Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han:
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR abs/2111.11652 (2021) - 2020
- [c112]Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. BMVC 2020 - [c111]Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. CVPR 2020: 190-199 - [c110]Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras:
Learning Visual Emotion Representations From Web Data. CVPR 2020: 13103-13112 - [c109]Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen:
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) 2020: 118-136 - [c108]Hieu M. Le, Dimitris Samaras:
From Shadow Segmentation to Shadow Removal. ECCV (11) 2020: 264-281 - [c107]David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen:
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) 2020: 267-279 - [c106]Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras:
Learning Monocular Face Reconstruction using Multi-View Supervision. FG 2020: 241-248 - [c105]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Self-supervised Deformation Modeling for Facial Expression Editing. FG 2020: 294-301 - [c104]Megan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory J. Zelinksy, Dimitris Samaras, Johanna M. Jarcho:
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression. FG 2020: 557-561 - [c103]Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI 2020: 481-485 - [c102]Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen:
Distribution Matching for Crowd Counting. NeurIPS 2020 - [i40]Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. CoRR abs/2001.11921 (2020) - [i39]Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. CoRR abs/2002.07913 (2020) - [i38]Jianyuan Deng, Zhibo Yang, Yao Li, Dimitris Samaras, Fusheng Wang:
Towards Better Opioid Antagonists Using Deep Reinforcement Learning. CoRR abs/2004.04768 (2020) - [i37]Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning. CoRR abs/2005.14310 (2020) - [i36]Hieu M. Le, Dimitris Samaras:
From Shadow Segmentation to Shadow Removal. CoRR abs/2008.00267 (2020) - [i35]Raji Annadi, Yupei Chen, Viresh Ranjan, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
A Study of Human Gaze Behavior During Visual Crowd Counting. CoRR abs/2009.06502 (2020) - [i34]Hassan A. Sial, Ramon Baldrich, María Vanrell, Dimitris Samaras:
Light Direction and Color Estimation from Single Image with Deep Regression. CoRR abs/2009.08941 (2020) - [i33]Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai:
Distribution Matching for Crowd Counting. CoRR abs/2009.13077 (2020) - [i32]Jingyi Xu, Zhixin Shu, Dimitris Samaras:
Learning Clusterable Visual Features for Zero-Shot Recognition. CoRR abs/2010.03245 (2020) - [i31]Jingyi Xu, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras:
Variational Transfer Learning for Fine-grained Few-shot Visual Recognition. CoRR abs/2010.03255 (2020) - [i30]Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. CoRR abs/2011.14447 (2020) - [i29]ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer, Dimitris Samaras:
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction. CoRR abs/2012.07999 (2020) - [i28]Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling:
Modeling Deep Learning Based Privacy Attacks on Physical Mail. CoRR abs/2012.11803 (2020) - [i27]Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. CoRR abs/2012.12482 (2020) - [i26]Hieu M. Le, Dimitris Samaras:
Physics-based Shadow Image Decomposition for Shadow Removal. CoRR abs/2012.13018 (2020)
2010 – 2019
- 2019
- [j26]Mengjiao Wang, Zhixin Shu, Shiyang Cheng, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou:
An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations. Int. J. Comput. Vis. 127(6-7): 743-762 (2019) - [j25]Le Hou, Vu Nguyen, Ariel B. Kanevsky, Dimitris Samaras, Tahsin M. Kurç, Tianhao Zhao, Rajarsi R. Gupta, Yi Gao, Wenjin Chen, David J. Foran, Joel H. Saltz:
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. Pattern Recognit. 86: 188-200 (2019) - [c101]Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c100]Tahsin M. Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy Diprima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel H. Saltz:
From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) 2019: 371-379 - [c99]Shuai Ma, Zijun Wei, Feng Tian, Xiangmin Fan, Jianming Zhang, Xiaohui Shen, Zhe L. Lin, Jin Huang, Radomír Mech, Dimitris Samaras, Hongan Wang:
SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network. CHI 2019: 471 - [c98]Hieu M. Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. CVPR Workshops 2019: 18-25 - [c97]Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras, Minh Hoai:
Benchmarking Gaze Prediction for Categorical Visual Search. CVPR Workshops 2019: 828-836 - [c96]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019: 8533-8542 - [c95]Conor Kelton, Zijun Wei, Seoyoung Ahn, Aruna Balasubramanian, Samir R. Das, Dimitris Samaras, Gregory J. Zelinsky:
Reading detection in real-time. ETRA 2019: 43:1-43:5 - [c94]Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot:
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. ICCV 2019: 131-140 - [c93]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
Wasserstein GAN With Quadratic Transport Cost. ICCV 2019: 4831-4840 - [c92]Hieu M. Le, Dimitris Samaras:
Shadow Removal via Shadow Image Decomposition. ICCV 2019: 8577-8586 - [c91]Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. ICCV Workshops 2019: 4054-4064 - [c90]Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic:
Label super-resolution networks. ICLR (Poster) 2019 - [c89]Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi Gupta, Kenneth Shroyer, Joel H. Saltz:
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. MICCAI (1) 2019: 541-549 - [c88]Sohee Kim Park, Arani Bhattacharya, Zhibo Yang, Mallesham Dasari, Samir R. Das, Dimitris Samaras:
Advancing User Quality of Experience in 360-degree Video Streaming. Networking 2019: 1-9 - [c87]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. NeurIPS 2019: 5658-5669 - [i25]Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz:
Label Super Resolution with Inter-Instance Loss. CoRR abs/1904.04429 (2019) - [i24]Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion. CoRR abs/1904.11960 (2019) - [i23]Hieu M. Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. CoRR abs/1905.03313 (2019) - [i22]Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. CoRR abs/1905.10841 (2019) - [i21]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. CoRR abs/1906.05404 (2019) - [i20]Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz:
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR abs/1907.03960 (2019) - [i19]Hieu M. Le, Dimitris Samaras:
Shadow Removal via Shadow Image Decomposition. CoRR abs/1908.08628 (2019) - [i18]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 H. Saltz:
Exascale Deep Learning to Accelerate Cancer Research. CoRR abs/1909.12291 (2019) - [i17]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Self-supervised Deformation Modeling for Facial Expression Editing. CoRR abs/1911.00735 (2019) - 2018
- [j24]Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Leave-One-Out Kernel Optimization for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 682-695 (2018) - [j23]Zhixin Shu, Sunil Hadap, Eli Shechtman, Kalyan Sunkavalli, Sylvain Paris, Dimitris Samaras:
Portrait Lighting Transfer Using a Mass Transport Approach. ACM Trans. Graph. 37(1): 2:1-2:15 (2018) - [c86]Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras:
DocUNet: Document Image Unwarping via a Stacked U-Net. CVPR 2018: 4700-4709 - [c85]Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras:
Good View Hunting: Learning Photo Composition From Dense View Pairs. CVPR 2018: 5437-5446 - [c84]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) 2018: 664-680 - [c83]Hieu M. Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras:
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. ECCV (2) 2018: 680-696 - [c82]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
A Two-Step Computation of the Exact GAN Wasserstein Distance. ICML 2018: 3165-3174 - [c81]Zijun Wei, Boyu Wang, Minh Hoai Nguyen, Jianming Zhang, Zhe L. Lin, Xiaohui Shen, Radomír Mech, Dimitris Samaras:
Sequence-to-Segment Networks for Segment Detection. NeurIPS 2018: 3511-3520 - [i16]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR abs/1806.06503 (2018) - [i15]Huidong Liu, Yang Guo, Na Lei, Zhixin Shu, Shing-Tung Yau, Dimitris Samaras, Xianfeng Gu:
Latent Space Optimal Transport for Generative Models. CoRR abs/1809.05964 (2018) - 2017
- [j22]Alexandre Abraham, Michael P. Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, Bertrand Thirion, Gaël Varoquaux:
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. NeuroImage 147: 736-745 (2017) - [j21]Zhixin Shu, Eli Shechtman, Dimitris Samaras, Sunil Hadap:
EyeOpener: Editing Eyes in the Wild. ACM Trans. Graph. 36(1): 1:1-1:13 (2017) - [j20]Zhixin Shu, Sunil Hadap, Eli Shechtman, Kalyan Sunkavalli, Sylvain Paris, Dimitris Samaras:
Portrait lighting transfer using a mass transport approach. ACM Trans. Graph. 36(4) (2017) - [c80]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz:
ConvNets with Smooth Adaptive Activation Functions for Regression. AISTATS 2017: 430-439 - [c79]Ke Ma, Minh Hoai, Dimitris Samaras:
Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. BMVC 2017 - [c78]Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras:
Neural Face Editing with Intrinsic Image Disentangling. CVPR 2017: 5444-5453 - [c77]Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras:
Shadow Detection with Conditional Generative Adversarial Networks. ICCV 2017: 4520-4528 - [c76]Hieu M. Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras:
Co-localization with Category-Consistent Features and Geodesic Distance Propagation. ICCV Workshops 2017: 1103-1112 - [c75]Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. WACV 2017: 834-841 - [i14]Hieu M. Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras:
Geodesic Distance Histogram Feature for Video Segmentation. CoRR abs/1704.00077 (2017) - [i13]Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Tianhao Zhao, Joel H. Saltz:
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. CoRR abs/1704.00406 (2017) - [i12]Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras:
Neural Face Editing with Intrinsic Image Disentangling. CoRR abs/1704.04131 (2017) - [i11]Wuming Zhang, Zhixin Shu, Dimitris Samaras, Liming Chen:
Improving Heterogeneous Face Recognition with Conditional Adversarial Networks. CoRR abs/1709.02848 (2017) - [i10]Mengjiao Wang, Zhixin Shu, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou:
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations. CoRR abs/1711.10402 (2017) - [i9]Hieu M. Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras:
A+D-Net: Shadow Detection with Adversarial Shadow Attenuation. CoRR abs/1712.01361 (2017) - [i8]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Unsupervised Histopathology Image Synthesis. CoRR abs/1712.05021 (2017) - 2016
- [j19]Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
Higher-Order Graph Principles towards Non-Rigid Surface Registration. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2416-2429 (2016) - [c74]Hieu M. Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras:
Geodesic Distance Histogram Feature for Video Segmentation. ACCV (1) 2016: 275-290 - [c73]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz:
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification. CVPR 2016: 2424-2433 - [c72]Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains. CVPR 2016: 3783-3792 - [c71]Tomás F. Yago Vicente, Le Hou, Chen-Ping Yu, Minh Hoai, Dimitris Samaras:
Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples. ECCV (6) 2016: 816-832 - [c70]Jihoon Ryoo, Kiwon Yun, Dimitris Samaras, Samir R. Das, Gregory J. Zelinsky:
Design and evaluation of a foveated video streaming service for commodity client devices. MMSys 2016: 6:1-6:11 - [c69]Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras:
Learned Region Sparsity and Diversity Also Predicts Visual Attention. NIPS 2016: 1894-1902 - [c68]