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ORCIDDimitris Samaras
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- affiliation: Stony Brook University, USA
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2020 – today
- 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) - [i42]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i41]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. CoRR abs/2103.13538 (2021) - 2020
- [c111]Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. BMVC 2020 - [c110]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 - [c109]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 - [c108]Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen:
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) 2020: 118-136 - [c107]Hieu M. Le, Dimitris Samaras:
From Shadow Segmentation to Shadow Removal. ECCV (11) 2020: 264-281 - [c106]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 - [c105]Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras:
Learning Monocular Face Reconstruction using Multi-View Supervision. FG 2020: 241-248 - [c104]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Self-supervised Deformation Modeling for Facial Expression Editing. FG 2020: 294-301 - [c103]Megan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory Zelinksy, Dimitris Samaras, Johanna M. Jarcho:
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression. FG 2020: 557-561 - [c102]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 - [c101]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) - [c100]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 - [c99]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 - [c98]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 - [c97]Hieu M. Le, Bento Gonçalves, Dimitris Samaras, Heather Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. CVPR Workshops 2019: 18-25 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
Wasserstein GAN With Quadratic Transport Cost. ICCV 2019: 4831-4840 - [c91]Hieu M. Le, Dimitris Samaras:
Shadow Removal via Shadow Image Decomposition. ICCV 2019: 8577-8586 - [c90]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 - [c89]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 - [c88]Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi P. Gupta, Kenneth Shroyer, Joel H. Saltz:
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. MICCAI (1) 2019: 541-549 - [c87]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 - [c86]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, Shroyer Kenneth, 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 Gonçalves, Dimitris Samaras, Heather 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, Shroyer Kenneth, 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) - [c85]Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras:
DocUNet: Document Image Unwarping via a Stacked U-Net. CVPR 2018: 4700-4709 - [c84]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 - [c83]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 - [c82]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 - [c81]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
A Two-Step Computation of the Exact GAN Wasserstein Distance. ICML 2018: 3165-3174 - [c80]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) - [c79]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz:
ConvNets with Smooth Adaptive Activation Functions for Regression. AISTATS 2017: 430-439 - [c78]Ke Ma, Minh Hoai, Dimitris Samaras:
Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. BMVC 2017 - [c77]Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras:
Neural Face Editing with Intrinsic Image Disentangling. CVPR 2017: 5444-5453 - [c76]Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras:
Shadow Detection with Conditional Generative Adversarial Networks. ICCV 2017: 4520-4528 - [c75]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 - [c74]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) - [c73]Hieu M. Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras:
Geodesic Distance Histogram Feature for Video Segmentation. ACCV (1) 2016: 275-290 - [c72]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 - [c71]Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains. CVPR 2016: 3783-3792 - [c70]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 - [c69]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 - [c68]Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras:
Learned Region Sparsity and Diversity Also Predicts Visual Attention. NIPS 2016: 1894-1902 - [c67]Ke Ma, Tomas F. Yago Vicente, Dimitris Samaras, Michael Petrucci, Daniel L. Magnus:
Texture classification for rail surface condition evaluation. WACV 2016: 1-9 - [i7]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz:
Neural Networks with Smooth Adaptive Activation Functions for Regression. CoRR abs/1608.06557 (2016) - [i6]Le Hou, Chen-Ping Yu, Dimitris Samaras:
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks. CoRR abs/1611.05916 (2016) - [i5]Hieu M. Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras:
Co-localization with Category-Consistent CNN Features and Geodesic Distance Co-Propagation. CoRR abs/1612.03236 (2016) - [i4]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. CoRR abs/1612.06825 (2016) - 2015
- [j18]Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko:
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. Comput. Medical Imaging Graph. 46: 40-46 (2015) - [c66]Gary Ge, Kiwon Yun, Dimitris Samaras, Gregory J. Zelinsky:
Action classification in still images using human eye movements. CVPR Workshops 2015: 16-23 - [c65]Heeyoung Kwon, Kiwon Yun, Minh Hoai, Dimitris Samaras:
Recognizing cultural events in images: A study of image categorization models. CVPR Workshops 2015: 51-57 - [c64]Chen-Ping Yu, Hieu M. Le, Gregory J. Zelinsky, Dimitris Samaras:
Efficient Video Segmentation Using Parametric Graph Partitioning. ICCV 2015: 3155-3163 - [c63]Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Leave-One-Out Kernel Optimization for Shadow Detection. ICCV 2015: 3388-3396 - [i3]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz:
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification. CoRR abs/1504.07947 (2015) - 2014
- [j17]Chan-Su Lee, Dimitris Samaras:
Analysis and Control of Facial Expressions using Decomposable nonlinear Generative Models. Int. J. Pattern Recognit. Artif. Intell. 28(5) (2014) - [c62]Marc Serra, Olivier Penacchio, Robert Benavente, María Vanrell, Dimitris Samaras:
The Photometry of Intrinsic Images. CVPR 2014: 1494-1501 - [c61]Tomás F. Yago Vicente, Dimitris Samaras:
Single Image Shadow Removal via Neighbor-Based Region Relighting. ECCV Workshops (3) 2014: 309-320 - [c60]Zhixin Shu, Kiwon Yun, Dimitris Samaras:
Action Detection with Improved Dense Trajectories and Sliding Window. ECCV Workshops (1) 2014: 541-551 - [c59]Wuming Zhang, Di Huang, Dimitris Samaras, Jean-Marie Morvan, Yunhong Wang, Liming Chen:
3D assisted face recognition via progressive pose estimation. ICIP 2014: 728-732 - [i2]Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux:
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. CoRR abs/1412.3925 (2014) - 2013
- [j16]Xufeng Han, Alexander C. Berg, Hwamee Oh, Dimitris Samaras, Hoi-Chung Leung:
Multi-voxel pattern analysis of selective representation of visual working memory in ventral temporal and occipital regions. NeuroImage 73: 8-15 (2013) - [j15]Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 437-449 (2013) - [c58]Tomas F. Yago Vicente, Chen-Ping Yu, Dimitris Samaras:
Single Image Shadow Detection Using Multiple Cues in a Supermodular MRF. BMVC 2013 - [c57]Kiwon Yun, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, Tamara L. Berg:
Studying Relationships between Human Gaze, Description, and Computer Vision. CVPR 2013: 739-746 - [c56]Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach. ICCV 2013: 3360-3367 - [c55]Shida Beigpour, Marc Serra, Joost van de Weijer, Robert Benavente, María Vanrell, Olivier Penacchio, Dimitris Samaras:
Intrinsic image evaluation on synthetic complex scenes. ICIP 2013: 285-289 - [c54]Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko:
FMRI analysis of cocaine addiction using k-support sparsity. ISBI 2013: 1078-1081 - [c53]Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko:
fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. MLMI 2013: 90-97 - [c52]Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux:
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. MICCAI (2) 2013: 607-615 - [c51]Chen-Ping Yu, Wen-Yu Hua, Dimitris Samaras, Gregory J. Zelinsky:
Modeling Clutter Perception using Parametric Proto-object Partitioning. NIPS 2013: 118-126 - [p1]Chaohui Wang, Yun Zeng, Dimitris Samaras, Nikos Paragios:
Modeling Shapes with Higher-Order Graphs: Methodology and Applications. Shape Perception in Human and Computer Vision 2013: 459-471 - 2012
- [j14]Jean Honorio, Dardo Tomasi, Rita Z. Goldstein, Hoi-Chung Leung, Dimitris Samaras:
Can a Single Brain Region Predict a Disorder? IEEE Trans. Medical Imaging 31(11): 2062-2072 (2012) - [c50]