Incorporating Illumination Constraints in Deformable Models. - Dimitris Samaras; Dimitris N. Metaxas (CVPR, 1998)

Coupled Lighting Direction and Shape Estimation from Single Images. - Dimitris Samaras; Dimitris N. Metaxas (ICCV, 1999)

Variable Albedo Surface Reconstruction from Stereo and Shape from Shading. - Dimitris Samaras; Dimitris N. Metaxas; Pascal Fua; Yvan G. Leclerc (CVPR, 2000)

Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry. - Yang Wang 001; Dimitris Samaras (ECCV (3), 2002)

Estimation of Multiple Directional Light Sources for Synthesis of Mixed Reality Images. - Yang Wang 001; Dimitris Samaras (PG, 2002)

Using Multiple Cues for Hand Tracking and Model Refinement. - Shan Lu 010; Dimitris N. Metaxas; Dimitris Samaras; John Oliensis (CVPR (2), 2003)

Face Recognition Under Variable Lighting using Harmonic Image Exemplars. - Lei Zhang 002; Dimitris Samaras (CVPR (1), 2003)

Estimation of multiple directional light sources for synthesis of augmented reality images. - Yang Wang 001; Dimitris Samaras (Graph. Model., 2003)

Incorporating Illumination Constraints in Deformable Models for Shape from Shading and Light Direction Estimation. - Dimitris Samaras; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

A Hierarchical Framework For High Resolution Facial Expression Tracking. - Xiaolei Huang 001; Song Zhang 002; Yang Wang 001; Dimitris N. Metaxas; Dimitris Samaras (CVPR Workshops, 2004)

Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation in Dynamic Environments. - Francesc Moreno-Noguer; Alberto Sanfeliu; Dimitris Samaras (CVPR Workshops, 2004)

Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces. - Ye Duan; Liu Yang; Hong Qin 001; Dimitris Samaras (ECCV (3), 2004)

Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics. - Lei Zhang 002; Dimitris Samaras (ECCV Workshop BioAW, 2004)

High Resolution Acquisition, Learning and Transfer of Dynamic 3D Facial Expressions. - Yang Wang 001; Xiaolei Huang 001; Chan-Su Lee; Song Zhang 002; Zhiguo Li; Dimitris Samaras; Dimitris N. Metaxas; Ahmed M. Elgammal; Peisen Huang (Comput. Graph. Forum, 2004)

Face Reconstruction Across Different Poses and Arbitrary Illumination Conditions. - Sen Wang; Lei Zhang 002; Dimitris Samaras (AVBPA, 2005)

Image-driven re-targeting and relighting of facial expressions. - Lei Zhang 002; Yang Wang 001; Sen Wang; Dimitris Samaras; Song Zhang 002; Peisen Huang (Computer Graphics International, 2005)

Face Modeling and Analysis in Stony Brook University. - Dimitris Samaras; Yang Wang 001; Lei Zhang 002; Sen Wang; Mohit Gupta 001 (CVPR (2), 2005)

Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging. - Lei Zhang 002; Dimitris Samaras; Dardo Tomasi; Nora D. Volkow; Rita Z. Goldstein (CVPR (1), 2005)

Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable Model. - Lei Zhang 002; Sen Wang; Dimitris Samaras (CVPR (2), 2005)

Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features. - Wei Zhang 002; Bing Yu; Gregory J. Zelinsky; Dimitris Samaras (CVPR (2), 2005)

Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation. - Francesc Moreno-Noguer; Alberto Sanfeliu; Dimitris Samaras (ICCV, 2005)

High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps. - Yang Wang 001; Mohit Gupta 001; Song Zhang 002; Sen Wang; Xianfeng Gu; Dimitris Samaras; Peisen Huang (ICCV, 2005)

Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data. - Lei Zhang 002; Dimitris Samaras; Dardo Tomasi; Nelly Alia-Klein; Lisa Cottone; Andreana Leskovjan; Nora D. Volkow; Rita Z. Goldstein (MICCAI, 2005)

The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search. - Gregory J. Zelinsky; Wei Zhang 002; Bing Yu; Xin Chen; Dimitris Samaras (NIPS, 2005)

Modeling Neuronal Interactivity using Dynamic Bayesian Networks. - Lei Zhang 002; Dimitris Samaras; Nelly Alia-Klein; Nora D. Volkow; Rita Z. Goldstein (NIPS, 2005)

A Computational Model of Eye Movements during Object Class Detection. - Wei Zhang 002; Hyejin Yang; Dimitris Samaras; Gregory J. Zelinsky (NIPS, 2005)

Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. - Heng Huang; Lei Zhang 002; Dimitris Samaras; Li Shen 001; Rong Zhang 013; Fillia Makedon; Justin D. Pearlman (3DPVT, 2006)

3D Surface Matching and Recognition Using Conformal Geometry. - Sen Wang; Yang Wang 001; Miao Jin; Xianfeng Gu; Dimitris Samaras (CVPR (2), 2006)

A Target Dependent Colorspace for Robust Tracking. - Francesc Moreno-Noguer; Alberto Sanfeliu; Dimitris Samaras (ICPR (3), 2006)

Integration of Dependent Bayesian Filters for Robust Tracking. - Francesc Moreno-Noguer; Alberto Sanfeliu; Dimitris Samaras (ICRA, 2006)

Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics. - Lei Zhang 002; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Guest Editorial. - Hanspeter Pfister; Dimitris Samaras (Vis. Comput., 2006)

Capturing long-range correlations with patch models. - Vincent Cheung; Nebojsa Jojic; Dimitris Samaras (CVPR, 2007)

Face Re-Lighting from a Single Image under Harsh Lighting Conditions. - Yang Wang 001; Zicheng Liu 001; Gang Hua 001; Zhen Wen; Zhengyou Zhang; Dimitris Samaras (CVPR, 2007)

Ricci Flow for 3D Shape Analysis. - Xianfeng Gu; Sen Wang; Junho Kim; Yun Zeng; Yang Wang 001; Hong Qin 001; Dimitris Samaras (ICCV, 2007)

Real-time Accurate Object Detection using Multiple Resolutions. - Wei Zhang 002; Gregory J. Zelinsky; Dimitris Samaras (ICCV, 2007)

Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments. - Francesc Moreno-Noguer; Alberto Sanfeliu; Dimitris Samaras (Image Vis. Comput., 2007)

Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching. - Sen Wang; Yang Wang 001; Miao Jin; Xianfeng David Gu; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

3D face matching and registration based on hyperbolic Ricci flow. - Wei Zeng 002; Xiaotian Yin; Yun Zeng; Yu-Kun Lai; Xianfeng Gu; Dimitris Samaras (CVPR Workshops, 2008)

3D Non-rigid Surface Matching and Registration Based on Holomorphic Differentials. - Wei Zeng 002; Yun Zeng; Yang Wang 001; Xiaotian Yin; Xianfeng Gu; Dimitris Samaras (ECCV (3), 2008)

Task-Specific Functional Brain Geometry from Model Maps. - Georg Langs; Dimitris Samaras; Nikos Paragios; Jean Honorio; Nelly Alia-Klein; Dardo Tomasi; Nora D. Volkow; Rita Z. Goldstein (MICCAI (1), 2008)

Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images. - Yun Zeng; Dimitris Samaras; Wei Chen 001; Qunsheng Peng 001 (Comput. Vis. Image Underst., 2008)

High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps. - Yang Wang 001; Mohit Gupta 001; Song Zhang 002; Sen Wang; Xianfeng Gu; Dimitris Samaras; Peisen Huang (Int. J. Comput. Vis., 2008)

Estimation of multiple directional illuminants from a single image. - Yang Wang 001; Dimitris Samaras (Image Vis. Comput., 2008)

Dependent Multiple Cue Integration for Robust Tracking. - Francesc Moreno-Noguer; Alberto Sanfeliu; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Robust shadow and illumination estimation using a mixture model. - Alexandros Panagopoulos; Dimitris Samaras; Nikos Paragios (CVPR, 2009)

Sparse and Locally Constant Gaussian Graphical Models. - Jean Honorio; Luis E. Ortiz; Dimitris Samaras; Nikos Paragios; Rita Z. Goldstein (NIPS, 2009)

Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions. - Yang Wang 001; Lei Zhang 002; Zicheng Liu 001; Gang Hua 001; Zhen Wen; Zhengyou Zhang; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

AU recognition on 3D faces based on an extended statistical facial feature model. - Xi Zhao 001; Emmanuel Dellandréa; Liming Chen 002; Dimitris Samaras (BTAS, 2010)

Dense non-rigid surface registration using high-order graph matching. - Yun Zeng; Chaohui Wang; Yang Wang 001; Xianfeng Gu; Dimitris Samaras; Nikos Paragios (CVPR, 2010)

Estimating Shadows with the Bright Channel Cue. - Alexandros Panagopoulos; Chaohui Wang; Dimitris Samaras; Nikos Paragios (ECCV Workshops (1), 2010)

Multi-Task Learning of Gaussian Graphical Models. - Jean Honorio; Dimitris Samaras (ICML, 2010)

Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces. - Przemyslaw Szeptycki; Mohsen Ardabilian; Liming Chen 002; Wei Zeng 002; Xianfeng David Gu; Dimitris Samaras (ICPR, 2010)

Simple fully automated group classification on brain FMRI. - Jean Honorio; Dimitris Samaras; Dardo Tomasi; Rita Z. Goldstein (ISBI, 2010)

Ricci Flow for 3D Shape Analysis. - Wei Zeng 002; Dimitris Samaras; Xianfeng David Gu (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Illumination estimation and cast shadow detection through a higher-order graphical model. - Alexandros Panagopoulos; Chaohui Wang; Dimitris Samaras; Nikos Paragios (CVPR, 2011)

Intrinsic dense 3D surface tracking. - Yun Zeng; Chaohui Wang; Yang Wang 001; Xianfeng Gu; Dimitris Samaras; Nikos Paragios (CVPR, 2011)

Analysis and synthesis of facial expressions using decomposable nonlinear generative models. - Chan-Su Lee; Dimitris Samaras (FG, 2011)

Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. - Chaohui Wang; Yun Zeng; Loïc Simon; Ioannis A. Kakadiaris; Dimitris Samaras; Nikos Paragios (ICCV, 2011)

Illumination estimation from shadow borders. - Alexandros Panagopoulos; Tomas F. Yago Vicente; Dimitris Samaras (ICCV Workshops, 2011)

Reconstructing Shape from Dictionaries of Shading Primitives. - Alexandros Panagopoulos; Sunil Hadap; Dimitris Samaras (ACCV (4), 2012)

Two-person interaction detection using body-pose features and multiple instance learning. - Kiwon Yun; Jean Honorio; Debaleena Chattopadhyay; Tamara L. Berg; Dimitris Samaras (CVPR Workshops, 2012)

Simultaneous and Group-Sparse Multi-Task Learning of Gaussian Graphical Models - Jean Honorio; Dimitris Samaras (CoRR, 2012)

Variable Selection for Gaussian Graphical Models. - Jean Honorio; Dimitris Samaras; Irina Rish; Guillermo A. Cecchi (AISTATS, 2012)

Can a Single Brain Region Predict a Disorder? - Jean Honorio; Dardo Tomasi; Rita Z. Goldstein; Hoi-Chung Leung; Dimitris Samaras (IEEE Trans. Medical Imaging, 2012)

Modeling Shapes with Higher-Order Graphs: Methodology and Applications. - Chaohui Wang; Yun Zeng; Dimitris Samaras; Nikos Paragios (Shape Perception in Human and Computer Vision, 2013)

Single Image Shadow Detection Using Multiple Cues in a Supermodular MRF. - Tomas F. Yago Vicente; Chen-Ping Yu; Dimitris Samaras (BMVC, 2013)

Studying Relationships between Human Gaze, Description, and Computer Vision. - Kiwon Yun; Yifan Peng; Dimitris Samaras; Gregory J. Zelinsky; Tamara L. Berg (CVPR, 2013)

A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach. - Yun Zeng; Chaohui Wang; Xianfeng Gu; Dimitris Samaras; Nikos Paragios (ICCV, 2013)

Intrinsic image evaluation on synthetic complex scenes. - Shida Beigpour; Marc Serra; Joost van de Weijer 001; Robert Benavente; María Vanrell 001; Olivier Penacchio; Dimitris Samaras (ICIP, 2013)

FMRI analysis of cocaine addiction using k-support sparsity. - Katerina Gkirtzou; Jean Honorio; Dimitris Samaras; Rita Z. Goldstein; Matthew B. Blaschko (ISBI, 2013)

Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. - Alexandre Abraham; Elvis Dohmatob; Bertrand Thirion; Dimitris Samaras; Gaël Varoquaux (MICCAI (2), 2013)

fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. - Katerina Gkirtzou; Jean Honorio; Dimitris Samaras; Rita Z. Goldstein; Matthew B. Blaschko (MLMI, 2013)

Modeling Clutter Perception using Parametric Proto-object Partitioning. - Chen-Ping Yu; Wen-Yu Hua; Dimitris Samaras; Gregory J. Zelinsky (NIPS, 2013)

Multi-voxel pattern analysis of selective representation of visual working memory in ventral temporal and occipital regions. - Xufeng Han; Alexander C. Berg; Hwamee Oh; Dimitris Samaras; Hoi-Chung Leung (NeuroImage, 2013)

Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs. - Alexandros Panagopoulos; Chaohui Wang; Dimitris Samaras; Nikos Paragios (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

The Photometry of Intrinsic Images. - Marc Serra; Olivier Penacchio; Robert Benavente; María Vanrell 001; Dimitris Samaras (CVPR, 2014)

Action Detection with Improved Dense Trajectories and Sliding Window. - Zhixin Shu; Kiwon Yun; Dimitris Samaras (ECCV Workshops (1), 2014)

Single Image Shadow Removal via Neighbor-Based Region Relighting. - Tomás F. Yago Vicente; Dimitris Samaras (ECCV Workshops (3), 2014)

3D assisted face recognition via progressive pose estimation. - Wuming Zhang; Di Huang 001; Dimitris Samaras; Jean-Marie Morvan; Yunhong Wang 001; Liming Chen 002 (ICIP, 2014)

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. - Alexandre Abraham; Elvis Dohmatob; Bertrand Thirion; Dimitris Samaras; Gaël Varoquaux (CoRR, 2014)

Analysis and Control of Facial Expressions using Decomposable nonlinear Generative Models. - Chan-Su Lee; Dimitris Samaras (Int. J. Pattern Recognit. Artif. Intell., 2014)

Practical chirocentric 3DUI platform for immersive environments. - Charilaos Papadopoulos; H. Choi; J. Sinha; Kiwon Yun; Arie E. Kaufman; Dimitris Samaras; Bireswar Laha (3DUI, 2015)

Action classification in still images using human eye movements. - Gary Ge; Kiwon Yun; Dimitris Samaras; Gregory J. Zelinsky (CVPR Workshops, 2015)

Recognizing cultural events in images: A study of image categorization models. - Heeyoung Kwon; Kiwon Yun; Minh Hoai; Dimitris Samaras (CVPR Workshops, 2015)

Leave-One-Out Kernel Optimization for Shadow Detection. - Tomas F. Yago Vicente; Minh Hoai; Dimitris Samaras (ICCV, 2015)

Efficient Video Segmentation Using Parametric Graph Partitioning. - Chen-Ping Yu; Hieu Le 001; Gregory J. Zelinsky; Dimitris Samaras (ICCV, 2015)

Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. - Eugene Belilovsky; Katerina Gkirtzou; Michail Misyrlis; Anna B. Konova; Jean Honorio; Nelly Alia-Klein; Rita Z. Goldstein; Dimitris Samaras; Matthew B. Blaschko (Comput. Medical Imaging Graph., 2015)

Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification. - Le Hou; Dimitris Samaras; Tahsin M. Kurç; Yi Gao 002; James E. Davis; Joel H. Saltz (CoRR, 2015)

Geodesic Distance Histogram Feature for Video Segmentation. - Hieu Le 001; Vu Nguyen 004; Chen-Ping Yu; Dimitris Samaras (ACCV (1), 2016)

Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification. - Le Hou; Dimitris Samaras; Tahsin M. Kurç; Yi Gao 002; James E. Davis; Joel H. Saltz (CVPR, 2016)

Noisy Label Recovery for Shadow Detection in Unfamiliar Domains. - Tomas F. Yago Vicente; Minh Hoai; Dimitris Samaras (CVPR, 2016)

Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples. - Tomás F. Yago Vicente; Le Hou; Chen-Ping Yu; Minh Hoai; Dimitris Samaras (ECCV (6), 2016)

Design and evaluation of a foveated video streaming service for commodity client devices. - Jihoon Ryoo; Kiwon Yun; Dimitris Samaras; Samir R. Das; Gregory J. Zelinsky (MMSys, 2016)

Learned Region Sparsity and Diversity Also Predicts Visual Attention. - Zijun Wei; Hossein Adeli; Minh Hoai; Gregory J. Zelinsky; Dimitris Samaras (NIPS, 2016)

Texture classification for rail surface condition evaluation. - Ke Ma 005; Tomas F. Yago Vicente; Dimitris Samaras; Michael Petrucci; Daniel L. Magnus (WACV, 2016)

Neural Networks with Smooth Adaptive Activation Functions for Regression. - Le Hou; Dimitris Samaras; Tahsin M. Kurç; Yi Gao 002; Joel H. Saltz (CoRR, 2016)

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks. - Le Hou; Chen-Ping Yu; Dimitris Samaras (CoRR, 2016)

Co-localization with Category-Consistent CNN Features and Geodesic Distance Co-Propagation. - Hieu Le 001; Chen-Ping Yu; Gregory J. Zelinsky; Dimitris Samaras (CoRR, 2016)

Higher-Order Graph Principles towards Non-Rigid Surface Registration. - Yun Zeng; Chaohui Wang; Xianfeng Gu; Dimitris Samaras; Nikos Paragios (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

ConvNets with Smooth Adaptive Activation Functions for Regression. - Le Hou; Dimitris Samaras; Tahsin M. Kurç; Yi Gao 002; Joel H. Saltz (AISTATS, 2017)

Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. - Ke Ma 005; Minh Hoai; Dimitris Samaras (BMVC, 2017)

Neural Face Editing with Intrinsic Image Disentangling. - Zhixin Shu; Ersin Yumer; Sunil Hadap; Kalyan Sunkavalli; Eli Shechtman; Dimitris Samaras (CVPR, 2017)

Shadow Detection with Conditional Generative Adversarial Networks. - Vu Nguyen 004; Tomas F. Yago Vicente; Maozheng Zhao; Minh Hoai; Dimitris Samaras (ICCV, 2017)

Co-localization with Category-Consistent Features and Geodesic Distance Propagation. - Hieu Le 001; Chen-Ping Yu; Gregory J. Zelinsky; Dimitris Samaras (ICCV Workshops, 2017)

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. - Veda Murthy; Le Hou; Dimitris Samaras; Tahsin M. Kurç; Joel H. Saltz (WACV, 2017)

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. - Le Hou; Vu Nguyen 004; Dimitris Samaras; Tahsin M. Kurç; Yi Gao 002; Tianhao Zhao; Joel H. Saltz (CoRR, 2017)

Improving Heterogeneous Face Recognition with Conditional Adversarial Networks. - Wuming Zhang; Zhixin Shu; Dimitris Samaras; Liming Chen 002 (CoRR, 2017)

An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations. - Mengjiao Wang 002; Zhixin Shu; Yannis Panagakis; Dimitris Samaras; Stefanos Zafeiriou (CoRR, 2017)

A+D-Net: Shadow Detection with Adversarial Shadow Attenuation. - Hieu Le 001; Tomas F. Yago Vicente; Vu Nguyen 004; Minh Hoai; Dimitris Samaras (CoRR, 2017)

Unsupervised Histopathology Image Synthesis. - Le Hou; Ayush Agarwal; Dimitris Samaras; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz (CoRR, 2017)

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. - Alexandre Abraham; Michael P. Milham; Adriana Di Martino; R. Cameron Craddock; Dimitris Samaras; Bertrand Thirion; Gaël Varoquaux (NeuroImage, 2017)

Portrait lighting transfer using a mass transport approach. - Zhixin Shu; Sunil Hadap; Eli Shechtman; Kalyan Sunkavalli; Sylvain Paris; Dimitris Samaras (ACM Trans. Graph., 2017)

EyeOpener: Editing Eyes in the Wild. - Zhixin Shu; Eli Shechtman; Dimitris Samaras; Sunil Hadap (ACM Trans. Graph., 2017)

DocUNet: Document Image Unwarping via a Stacked U-Net. - Ke Ma 001; Zhixin Shu; Xue Bai; Jue Wang 001; Dimitris Samaras (CVPR, 2018)

Good View Hunting: Learning Photo Composition From Dense View Pairs. - Zijun Wei; Jianming Zhang 001; Xiaohui Shen; Zhe Lin 001; Radomír Mech; Minh Hoai; Dimitris Samaras (CVPR, 2018)

A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. - Hieu Le 001; Tomas F. Yago Vicente; Vu Nguyen 004; Minh Hoai; Dimitris Samaras (ECCV (2), 2018)

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. - Zhixin Shu; Mihir Sahasrabudhe; Riza Alp Güler; Dimitris Samaras; Nikos Paragios; Iasonas Kokkinos (ECCV (10), 2018)

A Two-Step Computation of the Exact GAN Wasserstein Distance. - Huidong Liu; Xianfeng Gu; Dimitris Samaras (ICML, 2018)

Sequence-to-Segment Networks for Segment Detection. - Zijun Wei; Boyu Wang 001; Minh Hoai Nguyen; Jianming Zhang 001; Zhe Lin 001; Xiaohui Shen; Radomír Mech; Dimitris Samaras (NeurIPS, 2018)

Latent Space Optimal Transport for Generative Models. - Huidong Liu; Yang Guo; Na Lei; Zhixin Shu; Shing-Tung Yau; Dimitris Samaras; Xianfeng Gu (CoRR, 2018)

Leave-One-Out Kernel Optimization for Shadow Detection and Removal. - Tomas F. Yago Vicente; Minh Hoai; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Exascale Deep Learning to Accelerate Cancer Research. - 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 (IEEE BigData, 2019)

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. - Tahsin M. Kurç; Ashish Sharma 001; Rajarsi Gupta 001; Le Hou; Han Le; Shahira Abousamra; Erich Bremer; Ryan Birmingham; Tammy Diprima; Nan Li; Feiqiao Wang; Joseph Balsamo; et al. (BrainLes@MICCAI (2), 2019)

SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network. - Shuai Ma; Zijun Wei; Feng Tian 001; Xiangmin Fan; Jianming Zhang 001; Xiaohui Shen; Zhe Lin 001; Jin Huang 009; Radomír Mech; Dimitris Samaras; Hongan Wang (CHI, 2019)

Robust Histopathology Image Analysis: To Label or to Synthesize? - Le Hou; Ayush Agarwal; Dimitris Samaras; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz (CVPR, 2019)

Weakly Labeling the Antarctic: The Penguin Colony Case. - Hieu Le 001; Bento Collares Gonçalves; Dimitris Samaras; Heather J. Lynch (CVPR Workshops, 2019)

Benchmarking Gaze Prediction for Categorical Visual Search. - Gregory J. Zelinsky; Zhibo Yang 002; Lihan Huang; Yupei Chen; Seoyoung Ahn; Zijun Wei; Hossein Adeli; Dimitris Samaras; Minh Hoai (CVPR Workshops, 2019)

Reading detection in real-time. - Conor Kelton; Zijun Wei; Seoyoung Ahn; Aruna Balasubramanian; Samir R. Das; Dimitris Samaras; Gregory J. Zelinsky (ETRA, 2019)

DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. - Sagnik Das; Ke Ma 005; Zhixin Shu; Dimitris Samaras; Roy Shilkrot (ICCV, 2019)

Shadow Removal via Shadow Image Decomposition. - Hieu Le 001; Dimitris Samaras (ICCV, 2019)

Wasserstein GAN With Quadratic Transport Cost. - Huidong Liu; Xianfeng Gu; Dimitris Samaras (ICCV, 2019)

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. - Mihir Sahasrabudhe; Zhixin Shu; Edward Bartrum; Riza Alp Güler; Dimitris Samaras; Iasonas Kokkinos (ICCV Workshops, 2019)

Label super-resolution networks. - Kolya Malkin; Caleb Robinson; Le Hou; Rachel Soobitsky; Jacob Czawlytko; Dimitris Samaras; Joel H. Saltz; Lucas Joppa; Nebojsa Jojic (ICLR (Poster), 2019)

Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. - Han Le; Dimitris Samaras; Tahsin M. Kurç; Rajarsi Gupta 001; Kenneth Shroyer; Joel H. Saltz (MICCAI (1), 2019)

Advancing User Quality of Experience in 360-degree Video Streaming. - Sohee Kim Park; Arani Bhattacharya; Zhibo Yang 002; Mallesham Dasari; Samir R. Das; Dimitris Samaras (Networking, 2019)

Topology-Preserving Deep Image Segmentation. - Xiaoling Hu 002; Fuxin Li; Dimitris Samaras; Chao Chen 012 (NeurIPS, 2019)

Label Super Resolution with Inter-Instance Loss. - 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 (CoRR, 2019)

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. - 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 001; Erich Bremer; et al. (CoRR, 2019)

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. - Shahira Abousamra; Le Hou; Rajarsi R. Gupta; Chao Chen 012; Dimitris Samaras; Tahsin M. Kurç; Rebecca Batiste; Tianhao Zhao; Kenneth Shroyer; Joel H. Saltz (CoRR, 2019)

An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations. - Mengjiao Wang 002; Zhixin Shu; Shiyang Cheng 001; Yannis Panagakis; Dimitris Samaras; Stefanos Zafeiriou (Int. J. Comput. Vis., 2019)

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. - Le Hou; Vu Nguyen 004; Ariel B. Kanevsky; Dimitris Samaras; Tahsin M. Kurç; Tianhao Zhao; Rajarsi R. Gupta; Yi Gao 002; Wenjin Chen; David J. Foran; Joel H. Saltz (Pattern Recognit., 2019)

Intrinsic Decomposition of Document Images In-the-Wild. - Sagnik Das; Hassan A. Sial; Ke Ma 005; Ramón Baldrich; María Vanrell 001; Dimitris Samaras (BMVC, 2020)

Learning Visual Emotion Representations From Web Data. - Zijun Wei; Jianming Zhang 001; Zhe Lin 001; Joon-Young Lee; Niranjan Balasubramanian; Minh Hoai; Dimitris Samaras (CVPR, 2020)

Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. - Zhibo Yang 002; Lihan Huang; Yupei Chen; Zijun Wei; Seoyoung Ahn; Gregory J. Zelinsky; Dimitris Samaras; Minh Hoai (CVPR, 2020)

From Shadow Segmentation to Shadow Removal. - Hieu Le 001; Dimitris Samaras (ECCV (11), 2020)

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. - David Paredes; Prateek Prasanna; Christina Preece; Rajarsi Gupta 001; Farzad Fereidouni; Dimitris Samaras; Tahsin M. Kurç; Richard M. Levenson 001; Patricia Thompson-Carino; Joel H. Saltz; Chao Chen 012 (ECCV Workshops (1), 2020)

TopoGAN: A Topology-Aware Generative Adversarial Network. - Fan Wang 010; Huidong Liu; Dimitris Samaras; Chao Chen 012 (ECCV (3), 2020)

Self-supervised Deformation Modeling for Facial Expression Editing. - ShahRukh Athar; Zhixin Shu; Dimitris Samaras (FG, 2020)

Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression. - Megan Quarmley; Zhibo Yang 002; Shahrukh Athar; Gregory J. Zelinsky; Dimitris Samaras; Johanna M. Jarcho (FG, 2020)

Learning Monocular Face Reconstruction using Multi-View Supervision. - Zhixin Shu; Duygu Ceylan; Kalyan Sunkavalli; Eli Shechtman; Sunil Hadap; Dimitris Samaras (FG, 2020)

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. - Shahira Abousamra; Danielle Fassler; Le Hou; Yuwei Zhang; Rajarsi Gupta 001; Tahsin M. Kurç; Luisa F. Escobar-Hoyos; Dimitris Samaras; Beatrice Knudson; Kenneth Shroyer; Joel H. Saltz; Chao Chen 012 (ISBI, 2020)

Light Direction and Color Estimation from Single Image with Deep Regression. - Hassan A. Sial; Ramon Baldrich; María Vanrell 001; Dimitris Samaras (LIM, 2020)

Distribution Matching for Crowd Counting. - Boyu Wang 001; Huidong Liu; Dimitris Samaras; Minh Hoai Nguyen (NeurIPS, 2020)

Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. - Gregory J. Zelinsky; Yupei Chen; Seoyoung Ahn; Hossein Adeli; Zhibo Yang 002; Lihan Huang; Dimitris Samaras; Minh Hoai (CoRR, 2020)

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. - Le Hou; Rajarsi Gupta 001; John S. Van Arnam; Yuwei Zhang; Kaustubh Sivalenka; Dimitris Samaras; Tahsin M. Kurç; Joel H. Saltz (CoRR, 2020)

Towards Better Opioid Antagonists Using Deep Reinforcement Learning. - Jianyuan Deng; Zhibo Yang 002; Yao Li; Dimitris Samaras; Fusheng Wang 001 (CoRR, 2020)

A Study of Human Gaze Behavior During Visual Crowd Counting. - Raji Annadi; Yupei Chen; Viresh Ranjan; Dimitris Samaras; Gregory J. Zelinsky; Minh Hoai (CoRR, 2020)

Learning Clusterable Visual Features for Zero-Shot Recognition. - Jingyi Xu; Zhixin Shu; Dimitris Samaras (CoRR, 2020)

Variational Transfer Learning for Fine-grained Few-shot Visual Recognition. - Jingyi Xu; Mingzhen Huang; ShahRukh Athar; Dimitris Samaras (CoRR, 2020)

FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction. - ShahRukh Athar; Albert Pumarola; Francesc Moreno-Noguer; Dimitris Samaras (CoRR, 2020)

SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. - Aggelina Chatziagapi; ShahRukh Athar; Francesc Moreno-Noguer; Dimitris Samaras (3DV, 2021)

Localization in the Crowd with Topological Constraints. - Shahira Abousamra; Minh Hoai; Dimitris Samaras; Chao Chen 012 (AAAI, 2021)

Modeling Deep Learning Based Privacy Attacks on Physical Mail. - Bingyao Huang; Ruyi Lian; Dimitris Samaras; Haibin Ling (AAAI, 2021)

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. - Jingwei Zhang; Ke Ma 005; John S. Van Arnam; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (CVPR Workshops, 2021)

Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma. - Xuan Xu; Dimitris Samaras; Prateek Prasanna (EMBC, 2021)

Multi-Class Cell Detection Using Spatial Context Representation. - Shahira Abousamra; David Belinsky; John S. Van Arnam; Felicia Allard; Eric Yee; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Joel H. Saltz; Chao Chen 012 (ICCV, 2021)

End-to-end Piece-wise Unwarping of Document Images. - Sagnik Das; Kunwar Yashraj Singh; Jon Wu; Erhan Bas; Vijay Mahadevan; Rahul Bhotika; Dimitris Samaras (ICCV, 2021)

Variational Feature Disentangling for Fine-Grained Few-Shot Classification. - Jingyi Xu; Hieu Le 001; Mingzhen Huang; ShahRukh Athar; Dimitris Samaras (ICCV, 2021)

Topology-Aware Segmentation Using Discrete Morse Theory. - Xiaoling Hu 002; Yusu Wang 001; Fuxin Li; Dimitris Samaras; Chao Chen 012 (ICLR, 2021)

Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. - Sudhir Suman; Gagandeep Singh; Nicole Sakla; Rishabh Gattu; Jeremy Green; Tej Phatak; Dimitris Samaras; Prateek Prasanna (MICCAI (7), 2021)

Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. - Lei Zhou; Joseph Bae; Huidong Liu; Gagandeep Singh; Jeremy Green; Dimitris Samaras; Prateek Prasanna (MICCAI (7), 2021)

Artificial Intelligence in Drug Discovery: Applications and Techniques. - Jianyuan Deng; Zhibo Yang 002; Dimitris Samaras; Fusheng Wang 001 (CoRR, 2021)

Temporal Feature Warping for Video Shadow Detection. - Shilin Hu; Hieu Le 001; Dimitris Samaras (CoRR, 2021)

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. - Xin Zhang; Zixuan Liu 001; Kaiwen Xiao; Tian Shen; Junzhou Huang; Wei Yang 032; Dimitris Samaras; Xiao Han 011 (CoRR, 2021)

Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs. - Le Hou; Tomás F. Yago Vicente; Minh Hoai; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Sequence-to-Segments Networks for Detecting Segments in Videos. - Zijun Wei; Boyu Wang 001; Minh Hoai; Jianming Zhang 001; Xiaohui Shen; Zhe Lin 001; Radomír Mech; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Mosaic: Advancing User Quality of Experience in 360-Degree Video Streaming With Machine Learning. - Sohee Kim Park; Arani Bhattacharya; Zhibo Yang 002; Samir R. Das; Dimitris Samaras (IEEE Trans. Netw. Serv. Manag., 2021)

Characterizing Target-absent Human Attention. - Yupei Chen; Zhibo Yang 002; Souradeep Chakraborty; Sounak Mondal; Seoyoung Ahn; Dimitris Samaras; Minh Hoai; Gregory J. Zelinsky (CVPR Workshops, 2022)

Learning an Isometric Surface Parameterization for Texture Unwrapping. - Sagnik Das; Ke Ma 001; Zhixin Shu; Dimitris Samaras (ECCV (37), 2022)

Target-Absent Human Attention. - Zhibo Yang 002; Sounak Mondal; Seoyoung Ahn; Gregory J. Zelinsky; Minh Hoai; Dimitris Samaras (ECCV (4), 2022)

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. - Souradeep Chakraborty; Ke Ma 005; Rajarsi Gupta 001; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; Dimitris Samaras (ISBI, 2022)

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. - Souradeep Chakraborty; Rajarsi Gupta 001; Ke Ma 005; Darshana Govind; Pinaki Sarder; Won-Tak Choi; Waqas Mahmud; Eric Yee; Felicia Allard; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; et al. (MOVI@MICCAI, 2022)

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. - Jingwei Zhang; Xin Zhang; Ke Ma 005; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (MICCAI (2), 2022)

Diffusion Models as Plug-and-Play Priors. - Alexandros Graikos; Nikolay Malkin; Nebojsa Jojic; Dimitris Samaras (NeurIPS, 2022)

Swift: Adaptive Video Streaming with Layered Neural Codecs. - Mallesham Dasari; Kumara Kahatapitiya; Samir R. Das; Aruna Balasubramanian; Dimitris Samaras (NSDI, 2022)

Learning From Documents in the Wild to Improve Document Unwarping. - Ke Ma 005; Sagnik Das; Zhixin Shu; Dimitris Samaras (SIGGRAPH (Conference Paper Track), 2022)

Hierarchical Proxy-based Loss for Deep Metric Learning. - Zhibo Yang 002; Muhammet Bastan; Xinliang Zhu; Douglas Gray 001; Dimitris Samaras (WACV, 2022)

Artificial intelligence in drug discovery: applications and techniques. - Jianyuan Deng; Zhibo Yang 002; Iwao Ojima; Dimitris Samaras; Fusheng Wang 001 (Briefings Bioinform., 2022)

Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. - Lei Zhou; Joseph Bae; Huidong Liu; Gagandeep Singh; Jeremy Green; Amit Gupta; Dimitris Samaras; Prateek Prasanna (CoRR, 2022)

Self Pre-training with Masked Autoencoders for Medical Image Analysis. - Lei Zhou; Huidong Liu; Joseph Bae; Junjun He; Dimitris Samaras; Prateek Prasanna (CoRR, 2022)

A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. - Mahmudul Hasan 006; Jakub R. Kaczmarzyk; David Paredes; Lyanne Oblein; Jaymie Oentoro; Shahira Abousamra; Michael Horowitz; Dimitris Samaras; Chao Chen 012; Tahsin M. Kurç; Kenneth R. Shroyer; Joel H. Saltz (CoRR, 2022)

Learning Probabilistic Structural Representation for Biomedical Image Segmentation. - Xiaoling Hu 002; Dimitris Samaras; Chao Chen 012 (CoRR, 2022)

HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization. - Emilie Mathian; Huidong Liu; Lynnette Fernandez-Cuesta; Dimitris Samaras; Matthieu Foll; Liming Chen 002 (CoRR, 2022)

Taking a Respite from Representation Learning for Molecular Property Prediction. - Jianyuan Deng; Zhibo Yang 002; Hehe Wang; Iwao Ojima; Dimitris Samaras; Fusheng Wang 001 (CoRR, 2022)

Local Learning on Transformers via Feature Reconstruction. - Priyank Pathak; Jingwei Zhang; Dimitris Samaras (CoRR, 2022)

Physics-Based Shadow Image Decomposition for Shadow Removal. - Hieu Le 001; Dimitris Samaras (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. - Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (BMVC, 2023)

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. - Shahira Abousamra; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Joel H. Saltz; Chao Chen 012 (CVPR, 2023)

AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction. - Aggelina Chatziagapi; Dimitris Samaras (CVPR, 2023)

Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention. - Sounak Mondal; Zhibo Yang 002; Seoyoung Ahn; Dimitris Samaras; Gregory J. Zelinsky; Minh Hoai (CVPR, 2023)

Zero-Shot Object Counting. - Jingyi Xu; Hieu Le 001; Vu Nguyen 004; Viresh Ranjan; Dimitris Samaras (CVPR, 2023)

Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection. - Jingyi Xu; Hieu Le 001; Dimitris Samaras (CVPR, 2023)

FLAME-in-NeRF: Neural control of Radiance Fields for Free View Face Animation. - ShahRukh Athar; Zhixin Shu; Dimitris Samaras (FG, 2023)

LipNeRF: What is the right feature space to lip-sync a NeRF? - Aggelina Chatziagapi; ShahRukh Athar; Abhinav Jain; Rohith MV; Vimal Bhat; Dimitris Samaras (FG, 2023)

S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. - Haoyu Wu; Alexandros Graikos; Dimitris Samaras (ICCV, 2023)

Learning Probabilistic Topological Representations Using Discrete Morse Theory. - Xiaoling Hu 002; Dimitris Samaras; Chao Chen 012 (ICLR, 2023)

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. - Jingwei Zhang; Saarthak Kapse; Ke Ma 005; Prateek Prasanna; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras (IPMI, 2023)

Token Sparsification for Faster Medical Image Segmentation. - Lei Zhou; Huidong Liu; Joseph Bae; Junjun He; Dimitris Samaras; Prateek Prasanna (IPMI, 2023)

Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. - Lei Zhou; Huidong Liu; Joseph Bae; Junjun He; Dimitris Samaras; Prateek Prasanna (ISBI, 2023)

Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. - Jingwei Zhang; Saarthak Kapse; Ke Ma 005; Prateek Prasanna; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (MICCAI (8), 2023)

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. - Jingwei Zhang; Ke Ma 005; Saarthak Kapse; Joel H. Saltz; Maria Vakalopoulou; Prateek Prasanna; Dimitris Samaras (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Few Shot Hematopoietic Cell Classification. - Vu Nguyen 004; Prantik Howlader; Le Hou; Dimitris Samaras; Rajarsi R. Gupta; Joel H. Saltz (MIDL, 2023)

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. - Shahira Abousamra; Danielle Fassler; Jiachen Yao; Rajarsi R. Gupta; Tahsin M. Kurç; Luisa F. Escobar-Hoyos; Dimitris Samaras; Kenneth Shroyer; Joel H. Saltz; Chao Chen 012 (MIDL, 2023)

HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet. - Emilie Mathian; Huidong Liu; Lynnette Fernandez-Cuesta; Dimitris Samaras; Matthieu Foll; Liming Chen 002 (VISIGRAPP (5: VISAPP), 2023)

Patch-level Gaze Distribution Prediction for Gaze Following. - Qiaomu Miao; Minh Hoai; Dimitris Samaras (WACV, 2023)

Predicting Human Attention using Computational Attention. - Zhibo Yang 002; Sounak Mondal; Seoyoung Ahn; Gregory J. Zelinsky; Minh Hoai; Dimitris Samaras (CoRR, 2023)

Computational Pathology: A Survey Review and The Way Forward. - Mahdi S. Hosseini; Babak Ehteshami Bejnordi; Vincent Quoc-Huy Trinh; Danial Hasan; Xingwen Li; Taehyo Kim; Haochen Zhang 001; Theodore Wu; Kajanan Chinniah; Sina Maghsoudlou; Ryan Zhang; Stephen Yang; et al. (CoRR, 2023)

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. - Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (CoRR, 2023)

Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting. - Jingyi Xu; Hieu Le 001; Dimitris Samaras (CoRR, 2023)

Zero-Shot Object Counting with Language-Vision Models. - Jingyi Xu; Hieu Le 001; Dimitris Samaras (CoRR, 2023)

ChiMera: Learning with noisy labels by contrasting mixed-up augmentations. - Zixuan Liu 001; Xin Zhang; Junjun He; Dan Fu; Dimitris Samaras; Robby Tan; Xiao Wang 013; Sheng Wang 012 (CoRR, 2023)

Predicting Visual Attention in Graphic Design Documents. - Souradeep Chakraborty; Zijun Wei; Conor Kelton; Seoyoung Ahn; Aruna Balasubramanian; Gregory J. Zelinsky; Dimitris Samaras (IEEE Trans. Multim., 2023)

Controllable Dynamic Appearance for Neural 3D Portraits. - ShahRukh Athar; Zhixin Shu; Zexiang Xu; Fujun Luan; Sai Bi; Kalyan Sunkavalli; Dimitris Samaras (3DV, 2024)

JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation. - Sai Tanmay Reddy Chakkera; Aggelina Chatziagapi; Dimitris Samaras (BMVC, 2024)

Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers. - Zhibo Yang 002; Sounak Mondal; Seoyoung Ahn; Ruoyu Xue; Gregory J. Zelinsky; Minh Hoai; Dimitris Samaras (CVPR, 2024)

Learned Representation-Guided Diffusion Models for Large-Image Generation. - Alexandros Graikos; Srikar Yellapragada; Minh-Quan Le; Saarthak Kapse; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CVPR, 2024)

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. - Saarthak Kapse; Pushpak Pati; Srijan Das; Jingwei Zhang; Chao Chen 012; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras; Rajarsi R. Gupta; Prateek Prasanna (CVPR, 2024)

Uncertainty Estimation for Tumor Prediction with Unlabeled Data. - Juyoung Yun; Shahira Abousamra; Chen Li 045; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Alison L. Van Dyke; Joel H. Saltz; Chao Chen 012 (CVPR Workshops, 2024)

Self-supervised Co-salient Object Detection via Feature Correspondences at Multiple Scales. - Souradeep Chakraborty; Dimitris Samaras (ECCV (9), 2024)

TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans. - Aggelina Chatziagapi; Bindita Chaudhuri; Amit Kumar; Rakesh Ranjan; Dimitris Samaras; Nikolaos Sarafianos (ECCV Workshops (15), 2024)

MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. - Aggelina Chatziagapi; Grigorios G. Chrysos; Dimitris Samaras (ECCV (24), 2024)

MI-NeRF: Learning a Single NeRF for Multiple Identities. - Aggelina Chatziagapi; Grigorios G. Chrysos; Dimitris Samaras (ECCV Workshops (12), 2024)

Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier. - Prantik Howlader; Srijan Das; Hieu Le 001; Dimitris Samaras (ECCV (75), 2024)

Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation. - Prantik Howlader; Hieu Le 001; Dimitris Samaras (ECCV (75), 2024)

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. - Minh-Quan Le; Alexandros Graikos; Srikar Yellapragada; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (ECCV (32), 2024)

Diffusion-Refined VQA Annotations for Semi-supervised Gaze Following. - Qiaomu Miao; Alexandros Graikos; Jingwei Zhang; Sounak Mondal; Minh Hoai; Dimitris Samaras (ECCV (39), 2024)

Look Hear: Gaze Prediction for Speech-Directed Human Attention. - Sounak Mondal; Seoyoung Ahn; Zhibo Yang 002; Niranjan Balasubramanian; Dimitris Samaras; Gregory J. Zelinsky; Minh Hoai (ECCV (42), 2024)

Assessing Sample Quality via the Latent Space of Generative Models. - Jingyi Xu; Hieu Le 001; Dimitris Samaras (ECCV (59), 2024)

Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. - Souradeep Chakraborty; Rajarsi Gupta 001; Oksana Yaskiv; Constantin Friedman; Natallia Sheuka; Dana Perez; Paul Friedman; Gregory J. Zelinsky; Joel H. Saltz; Dimitris Samaras (MICCAI (3), 2024)

Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics. - Souradeep Chakraborty; Shujon Naha; Muhammet Bastan; Amit Kumar K. C; Dimitris Samaras (WACV, 2024)

PathLDM: Text conditioned Latent Diffusion Model for Histopathology. - Srikar Yellapragada; Alexandros Graikos; Prateek Prasanna; Tahsin M. Kurç; Joel H. Saltz; Dimitris Samaras (WACV, 2024)

MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits. - Dimitrios Garyfallou; Athanasios Stefanou; Christos Giamouzis; Moschos Antoniadis; Georgios Chararas; Konstantinos Chatzis; Dimitris Samaras; Rafaela Themeli; Anastasios Michailidis; Vasiliki Gogolou; Nikos Zachos; Nestor E. Evmorfopoulos; et al. (CoRR, 2024)

Self-supervised co-salient object detection via feature correspondence at multiple scales. - Souradeep Chakraborty; Dimitris Samaras (CoRR, 2024)

MI-NeRF: Learning a Single Face NeRF from Multiple Identities. - Aggelina Chatziagapi; Grigorios G. Chrysos; Dimitris Samaras (CoRR, 2024)

Learning Relighting and Intrinsic Decomposition in Neural Radiance Fields. - Yixiong Yang; Shilin Hu; Haoyu Wu; Ramon Baldrich; Dimitris Samaras; María Vanrell 001 (CoRR, 2024)

Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation. - Jingyi Xu; Hieu Le 001; Zhixin Shu; Yang Wang 001; Yi-Hsuan Tsai; Dimitris Samaras (CoRR, 2024)

Fast constrained sampling in pre-trained diffusion models. - Alexandros Graikos; Nebojsa Jojic; Dimitris Samaras (CoRR, 2024)

Instance-Aware Generalized Referring Expression Segmentation. - E-Ro Nguyen; Hieu Le 001; Dimitris Samaras; Michael Ryoo (CoRR, 2024)

Importance-based Token Merging for Diffusion Models. - Haoyu Wu; Jingyi Xu; Hieu Le 001; Dimitris Samaras (CoRR, 2024)

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. - Varun Belagali; Srikar Yellapragada; Alexandros Graikos; Saarthak Kapse; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2024)

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. - Saarthak Kapse; Srijan Das; Jingwei Zhang; Rajarsi R. Gupta; Joel H. Saltz; Dimitris Samaras; Prateek Prasanna (Medical Image Anal., 2024)

Rig3DGS: Creating Controllable Portraits From Casual Monocular Videos. - Alfredo Rivero; ShahRukh Athar; Zhixin Shu; Dimitris Samaras (3DV, 2025)

Direct and Explicit 3D Generation from a Single Image. - Haoyu Wu; Meher Gitika Karumuri; Chuhang Zou; Seungbae Bang; Yuelong Li; Dimitris Samaras; Sunil Hadap (3DV, 2025)

mli-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields. - Yixiong Yang; Shilin Hu; Haoyu Wu; Ramon Baldrich; Dimitris Samaras; María Vanrell 001 (3DV, 2025)

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. - Meilong Xu; Saumya Gupta; Xiaoling Hu 002; Chen Li 045; Shahira Abousamra; Dimitris Samaras; Prateek Prasanna; Chao Chen 012 (CVPR, 2025)

Few-shot Personalized Scanpath Prediction. - Ruoyu Xue; Jingyi Xu; Sounak Mondal; Hieu Le 001; Gregory J. Zelinsky; Minh Hoai; Dimitris Samaras (CVPR, 2025)

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Prateek Prasanna; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (CVPR, 2025)

2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification. - Jingwei Zhang; Anh Tien Nguyen; Xi Han; Vincent Quoc-Huy Trinh; Hong Qin 001; Dimitris Samaras; Mahdi S. Hosseini (CVPR, 2025)

Leveraging Registers in Vision Transformers for Robust Adaptation. - Srikar Yellapragada; Kowshik Thopalli; Vivek Sivaraman Narayanaswamy; Wesam Sakla; Yang Liu; Yamen Mubarka; Dimitris Samaras; Jayaraman J. Thiagarajan (ICASSP, 2025)

TopoDiffusionNet: A Topology-aware Diffusion Model. - Saumya Gupta; Dimitris Samaras; Chao Chen 012 (ICLR, 2025)

Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment. - Minh-Quan Le; Gaurav Mittal; Tianjian Meng; A S. M. Iftekhar; Vishwas Suryanarayanan; Barun Patra; Dimitris Samaras; Mei Chen (ICLR, 2025)

Shadow Removal Refinement via Material-Consistent Shadow Edges. - Shilin Hu; Hieu Le 001; ShahRukh Athar; Sagnik Das; Dimitris Samaras (WACV, 2025)

Learning to Count from Pseudo-Labeled Segmentation. - Jingyi Xu; Hieu Le 001; Dimitris Samaras (WACV, 2025)

AV-Flow: Transforming Text to Audio-Visual Human-like Interactions. - Aggelina Chatziagapi; Louis-Philippe Morency; Hongyu Gong; Michael Zollhoefer; Dimitris Samaras; Alexander Richard (CoRR, 2025)

Pathology Image Compression with Pre-trained Autoencoders. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2025)

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology. - Saarthak Kapse; Pushpak Pati; Srikar Yellapragada; Srijan Das; Rajarsi R. Gupta; Joel H. Saltz; Dimitris Samaras; Prateek Prasanna (CoRR, 2025)

PathSegDiff: Pathology Segmentation using Diffusion model representations. - Sachin Kumar Danisetty; Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (CoRR, 2025)

GeoMaNO: Geometric Mamba Neural Operator for Partial Differential Equations. - Xi Han; Jingwei Zhang; Dimitris Samaras; Fei Hou 001; Hong Qin 001 (CoRR, 2025)

Improving Contrastive Learning for Referring Expression Counting. - Kostas Triaridis; Panagiotis Kaliosis; E-Ro Nguyen; Jingyi Xu; Hieu Le 001; Dimitris Samaras (CoRR, 2025)

Low-Rank Head Avatar Personalization with Registers. - Sai Tanmay Reddy Chakkera; Aggelina Chatziagapi; Md Moniruzzaman; Chen-Ping Yu; Yi-Hsuan Tsai; Dimitris Samaras (CoRR, 2025)

PixCell: A generative foundation model for digital histopathology images. - Srikar Yellapragada; Alexandros Graikos; Zilinghan Li; Kostas Triaridis; Varun Belagali; Saarthak Kapse; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz; et al. (CoRR, 2025)

LBMamba: Locally Bi-directional Mamba. - Jingwei Zhang; Xi Han; Hong Qin 001; Mahdi S. Hosseini; Dimitris Samaras (CoRR, 2025)

CDG-MAE: Learning Correspondences from Diffusion Generated Views. - Varun Belagali; Pierre Marza; Srikar Yellapragada; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Joel H. Saltz; Stergios Christodoulidis; Maria Vakalopoulou; Dimitris Samaras (CoRR, 2025)

Multi-view Gaze Target Estimation. - Qiaomu Miao; Vivek Raju Golani; Jingyi Xu; Progga Paromita Dutta; Minh Hoai; Dimitris Samaras (CoRR, 2025)

Learning Human-Aware Robot Policies for Adaptive Assistance. - Jason Qin; Shikun Ban; Wentao Zhu 004; Yizhou Wang 001; Dimitris Samaras (IEEE Robotics Autom. Lett., 2025)