Dimitris Samaras

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 188

Top Venues

Publications

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, Thomas Noulis, Vasilis F. Pavlidis, Alkiviadis Hatzopoulos, Elpida Chatzineofytou, Yiannis Moisiadis
MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits. CoRR (2024)
Alfredo Rivero, ShahRukh Athar, Zhixin Shu, Dimitris Samaras
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos. CoRR (2024)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR (2023)
Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras
Zero-shot Object Counting. CoRR (2023)
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. CoRR (2023)
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
Learned representation-guided diffusion models for large-image generation. CoRR (2023)
Haoyu Wu, Alexandros Graikos, Dimitris Samaras
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. CoRR (2023)
Haoyu Wu, Alexandros Graikos, Dimitris Samaras
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. ICCV (2023)
Jingyi Xu, Hieu Le, Dimitris Samaras
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection. CoRR (2023)
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR (2023)
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis
Computational Pathology: A Survey Review and The Way Forward. CoRR (2023)
Xiaoling Hu, Dimitris Samaras, Chao Chen
Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Token Sparsification for Faster Medical Image Segmentation. IPMI (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR (2023)
Jingyi Xu, Hieu Le, Dimitris Samaras
Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection. CVPR (2023)
Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras
Zero-Shot Object Counting. CVPR (2023)
Souradeep Chakraborty, Shujon Naha, Muhammet Bastan, Amit Kumar K. C, Dimitris Samaras
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics. CoRR (2023)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR (2023)
Aggelina Chatziagapi, Dimitris Samaras
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction. CVPR (2023)
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. BMVC (2023)
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning. CoRR (2023)
Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen
HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet. VISIGRAPP (5: VISAPP) (2023)
Sounak Mondal, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention. CoRR (2023)
ShahRukh Athar, Zhixin Shu, Dimitris Samaras
FLAME-in-NeRF: Neural control of Radiance Fields for Free View Face Animation. FG (2023)
Sounak Mondal, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention. CVPR (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. ISBI (2023)
Souradeep Chakraborty, Zijun Wei, Conor Kelton, Seoyoung Ahn, Aruna Balasubramanian, Gregory J. Zelinsky, Dimitris Samaras
Predicting Visual Attention in Graphic Design Documents. IEEE Trans. Multim. 25 (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI (2023)
Zixuan Liu, Xin Zhang, Junjun He, Dan Fu, Dimitris Samaras, Robby Tan, Xiao Wang, Sheng Wang
ChiMera: Learning with noisy labels by contrasting mixed-up augmentations. CoRR (2023)
Jingyi Xu, Hieu Le, Dimitris Samaras
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting. CoRR (2023)
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR (2023)
Aggelina Chatziagapi, ShahRukh Athar, Abhinav Jain, Rohith MV, Vimal Bhat, Dimitris Samaras
LipNeRF: What is the right feature space to lip-sync a NeRF? FG (2023)
ShahRukh Athar, Zhixin Shu, Zexiang Xu, Fujun Luan, Sai Bi, Kalyan Sunkavalli, Dimitris Samaras
Controllable Dynamic Appearance for Neural 3D Portraits. CoRR (2023)
Jingyi Xu, Hieu Le, Dimitris Samaras
Zero-Shot Object Counting with Language-Vision Models. CoRR (2023)
Qiaomu Miao, Minh Hoai, Dimitris Samaras
Patch-level Gaze Distribution Prediction for Gaze Following. WACV (2023)
Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz
Few Shot Hematopoietic Cell Classification. MIDL (2023)
Aggelina Chatziagapi, Dimitris Samaras
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction. CoRR (2023)
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
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) (2023)
Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras
Predicting Human Attention using Computational Attention. CoRR (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Token Sparsification for Faster Medical Image Segmentation. CoRR (2023)
Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras
Swift: Adaptive Video Streaming with Layered Neural Codecs. NSDI (2022)
Jianyuan Deng, Zhibo Yang, Hehe Wang, Iwao Ojima, Dimitris Samaras, Fusheng Wang
Taking a Respite from Representation Learning for Molecular Property Prediction. CoRR (2022)
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 (2022)
Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras
Target-absent Human Attention. CoRR (2022)
Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Doug Gray, Dimitris Samaras
Hierarchical Proxy-based Loss for Deep Metric Learning. WACV (2022)
Ke Ma, Sagnik Das, Zhixin Shu, Dimitris Samaras
Learning From Documents in the Wild to Improve Document Unwarping. SIGGRAPH (Conference Paper Track) (2022)
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 (2022)
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
Diffusion Models as Plug-and-Play Priors. NeurIPS (2022)
Yupei Chen, Zhibo Yang, Souradeep Chakraborty, Sounak Mondal, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory J. Zelinsky
Characterizing Target-absent Human Attention. CVPR Workshops (2022)
Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras
Target-Absent Human Attention. ECCV (4) (2022)
Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. MOVI@MICCAI (2022)
Xiaoling Hu, Dimitris Samaras, Chao Chen
Learning Probabilistic Structural Representation for Biomedical Image Segmentation. CoRR (2022)
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 (2022)
Qiaomu Miao, Minh Hoai, Dimitris Samaras
Patch-level Gaze Distribution Prediction for Gaze Following. CoRR (2022)
Hieu Le, Dimitris Samaras
Physics-Based Shadow Image Decomposition for Shadow Removal. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Priyank Pathak, Jingwei Zhang, Dimitris Samaras
Local Learning on Transformers via Feature Reconstruction. CoRR (2022)
Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras
Learning an Isometric Surface Parameterization for Texture Unwrapping. ECCV (37) (2022)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Self Pre-training with Masked Autoencoders for Medical Image Analysis. CoRR (2022)
Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen
HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization. CoRR (2022)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR (2022)
Jianyuan Deng, Zhibo Yang, Iwao Ojima, Dimitris Samaras, Fusheng Wang
Artificial intelligence in drug discovery: applications and techniques. Briefings Bioinform. 23 (1) (2022)
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)
Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. MICCAI (2) (2022)
Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning. CoRR (2022)
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
Diffusion models as plug-and-play priors. CoRR (2022)
Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR (2021)
Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. 3DV (2021)
Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. CoRR (2021)
Xuan Xu, Dimitris Samaras, Prateek Prasanna
Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma. EMBC (2021)
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)
Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling
Modeling Deep Learning Based Privacy Attacks on Physical Mail. AAAI (2021)
Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR (2021)
Shilin Hu, Hieu M. Le, Dimitris Samaras
Temporal Feature Warping for Video Shadow Detection. CoRR (2021)
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)
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)
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)
Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras
Variational Feature Disentangling for Fine-Grained Few-Shot Classification. ICCV (2021)
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 (2021)
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 (2021)
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) (2021)
Jianyuan Deng, Zhibo Yang, Dimitris Samaras, Fusheng Wang
Artificial Intelligence in Drug Discovery: Applications and Techniques. CoRR (2021)
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 (2021)
ShahRukh Athar, Zhixin Shu, Dimitris Samaras
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation. CoRR (2021)
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) (2021)
Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras
Hierarchical Proxy-based Loss for Deep Metric Learning. CoRR (2021)
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)
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) (2021)
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
Localization in the Crowd with Topological Constraints. AAAI (2021)
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 (2020)
Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) (2020)
Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras
Learning Monocular Face Reconstruction using Multi-View Supervision. FG (2020)
Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, María Vanrell, Dimitris Samaras
Intrinsic Decomposition of Document Images In-the-Wild. CoRR (2020)
Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras
Intrinsic Decomposition of Document Images In-the-Wild. BMVC (2020)
Megan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory Zelinksy, Dimitris Samaras, Johanna M. Jarcho
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression. FG (2020)
Hassan A. Sial, Ramon Baldrich, María Vanrell, Dimitris Samaras
Light Direction and Color Estimation from Single Image with Deep Regression. CoRR (2020)
Hieu M. Le, Dimitris Samaras
From Shadow Segmentation to Shadow Removal. ECCV (11) (2020)
Hieu M. Le, Dimitris Samaras
Physics-based Shadow Image Decomposition for Shadow Removal. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dimitris Samaras