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ORCIDDimitris Samaras
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- affiliation: Stony Brook University, USA
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2020 – today
- 2024
[j33]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. Medical Image Anal. 93: 103070 (2024)- [c168]ShahRukh Athar, Zhixin Shu, Zexiang Xu, Fujun Luan, Sai Bi, Kalyan Sunkavalli, Dimitris Samaras:
Controllable Dynamic Appearance for Neural 3D Portraits. 3DV 2024: 697-706 - [c167]Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Ruoyu Xue, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers. CVPR 2024: 1683-1693 - [c166]Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen:
Uncertainty Estimation for Tumor Prediction with Unlabeled Data. CVPR Workshops 2024: 6946-6954 - [c165]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. CVPR 2024: 8532-8542 - [c164]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. CVPR 2024: 11226-11237 - [c163]Souradeep Chakraborty, Dimitris Samaras:
Self-supervised Co-salient Object Detection via Feature Correspondences at Multiple Scales. ECCV (9) 2024: 231-250 - [c162]Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
Look Hear: Gaze Prediction for Speech-Directed Human Attention. ECCV (42) 2024: 236-255 - [c161]Prantik Howlader, Srijan Das, Hieu Le, Dimitris Samaras:
Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier. ECCV (75) 2024: 342-360 - [c160]Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras:
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. ECCV (32) 2024: 385-401 - [c159]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. ECCV (24) 2024: 388-408 - [c158]Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras:
Diffusion-Refined VQA Annotations for Semi-supervised Gaze Following. ECCV (39) 2024: 439-457 - [c157]Jingyi Xu, Hieu Le, Dimitris Samaras:
Assessing Sample Quality via the Latent Space of Generative Models. ECCV (59) 2024: 449-464 - [c156]Prantik Howlader, Hieu Le, Dimitris Samaras:
Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation. ECCV (75) 2024: 456-474 - [c155]Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. MICCAI (3) 2024: 120-130 - [c154]Souradeep Chakraborty, Shujon Naha, Muhammet Bastan, Amit Kumar K. C, Dimitris Samaras:
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics. WACV 2024: 331-341 - [c153]Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV 2024: 5170-5179 - [i103]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 abs/2401.10236 (2024) - [i102]Alfredo Rivero, ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos. CoRR abs/2402.03723 (2024) - [i101]Souradeep Chakraborty, Dimitris Samaras:
Self-supervised co-salient object detection via feature correspondence at multiple scales. CoRR abs/2403.11107 (2024) - [i100]Souradeep Chakraborty, Dana Perez, Paul Friedman, Natallia Sheuka, Constantin Friedman, Oksana Yaskiv, Rajarsi Gupta, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Decoding the visual attention of pathologists to reveal their level of expertise. CoRR abs/2403.17255 (2024) - [i99]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MI-NeRF: Learning a Single Face NeRF from Multiple Identities. CoRR abs/2403.19920 (2024) - [i98]Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras:
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following. CoRR abs/2406.02774 (2024) - [i97]Yixiong Yang, Shilin Hu, Haoyu Wu, Ramon Baldrich, Dimitris Samaras, María Vanrell:
Learning Relighting and Intrinsic Decomposition in Neural Radiance Fields. CoRR abs/2406.11077 (2024) - [i96]Souradeep Chakraborty, Zijun Wei, Conor Kelton, Seoyoung Ahn, Aruna Balasubramanian, Gregory J. Zelinsky, Dimitris Samaras:
Predicting Visual Attention in Graphic Design Documents. CoRR abs/2407.02439 (2024) - [i95]Prantik Howlader, Srijan Das, Hieu Le, Dimitris Samaras:
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier. CoRR abs/2407.04036 (2024) - [i94]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. CoRR abs/2407.07284 (2024) - [i93]Prantik Howlader, Hieu Le, Dimitris Samaras:
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation. CoRR abs/2407.12630 (2024) - [i92]Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras:
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. CoRR abs/2407.14709 (2024) - [i91]Jingyi Xu, Hieu Le, Dimitris Samaras:
Assessing Sample Quality via the Latent Space of Generative Models. CoRR abs/2407.15171 (2024) - [i90]Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
Look Hear: Gaze Prediction for Speech-directed Human Attention. CoRR abs/2407.19605 (2024) - [i89]Shilin Hu, Hieu Le, ShahRukh Athar, Sagnik Das, Dimitris Samaras:
Shadow Removal Refinement via Material-Consistent Shadow Edges. CoRR abs/2409.06848 (2024) - [i88]Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Dimitris Samaras:
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation. CoRR abs/2409.12156 (2024) - [i87]Aggelina Chatziagapi, Bindita Chaudhuri, Amit Kumar, Rakesh Ranjan, Dimitris Samaras, Nikolaos Sarafianos:
TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans. CoRR abs/2409.16666 (2024) - [i86]Jingyi Xu, Hieu Le, Zhixin Shu, Yang Wang, Yi-Hsuan Tsai, Dimitris Samaras:
Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation. CoRR abs/2409.19501 (2024) - [i85]Saumya Gupta, Dimitris Samaras, Chao Chen:
TopoDiffusionNet: A Topology-aware Diffusion Model. CoRR abs/2410.16646 (2024) - [i84]Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras:
Fast constrained sampling in pre-trained diffusion models. CoRR abs/2410.18804 (2024) - 2023
- [j32]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: 4478-4493 (2023) - [c152]Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras:
Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. BMVC 2023: 478-479 - [c151]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: 1441-1450 - [c150]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: 3323-3333 - [c149]Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras:
Zero-Shot Object Counting. CVPR 2023: 15548-15557 - [c148]Aggelina Chatziagapi, Dimitris Samaras:
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction. CVPR 2023: 16878-16889 - [c147]Jingyi Xu, Hieu Le, Dimitris Samaras:
Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection. CVPR 2023: 19713-19722 - [c146]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
FLAME-in-NeRF: Neural control of Radiance Fields for Free View Face Animation. FG 2023: 1-8 - [c145]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: 1-8 - [c144]Haoyu Wu, Alexandros Graikos, Dimitris Samaras:
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. ICCV 2023: 3533-3545 - [c143]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR 2023 - [c142]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. IPMI 2023: 743-754 - [c141]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: 783-794 - [c140]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: 1-6 - [c139]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: 161-170 - [c138]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: 624-634 - [c137]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: 74-94 - [c136]Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz:
Few Shot Hematopoietic Cell Classification. MIDL 2023: 1085-1103 - [c135]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: 325-337 - [c134]Qiaomu Miao, Minh Hoai, Dimitris Samaras:
Patch-level Gaze Distribution Prediction for Gaze Following. WACV 2023: 880-889 - [i83]Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras:
Zero-shot Object Counting. CoRR abs/2303.02001 (2023) - [i82]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. CoRR abs/2303.06522 (2023) - [i81]Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Predicting Human Attention using Computational Attention. CoRR abs/2303.09383 (2023) - [i80]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 abs/2303.12214 (2023) - [i79]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 abs/2303.15274 (2023) - [i78]Haoyu Wu, Alexandros Graikos, Dimitris Samaras:
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. CoRR abs/2303.17712 (2023) - [i77]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 abs/2304.02255 (2023) - [i76]Jingyi Xu, Hieu Le, Dimitris Samaras:
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection. CoRR abs/2304.05096 (2023) - [i75]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 abs/2304.05482 (2023) - [i74]Aggelina Chatziagapi, Dimitris Samaras:
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction. CoRR abs/2304.13115 (2023) - [i73]Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras:
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. CoRR abs/2306.01900 (2023) - [i72]Jingyi Xu, Hieu Le, Dimitris Samaras:
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting. CoRR abs/2307.07677 (2023) - [i71]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 abs/2307.09570 (2023) - [i70]Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR abs/2309.00748 (2023) - [i69]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 abs/2309.06439 (2023) - [i68]ShahRukh Athar, Zhixin Shu, Zexiang Xu, Fujun Luan, Sai Bi, Kalyan Sunkavalli, Dimitris Samaras:
Controllable Dynamic Appearance for Neural 3D Portraits. CoRR abs/2309.11009 (2023) - [i67]Jingyi Xu, Hieu Le, Dimitris Samaras:
Zero-Shot Object Counting with Language-Vision Models. CoRR abs/2309.13097 (2023) - [i66]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 abs/2310.05183 (2023) - [i65]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 abs/2311.06654 (2023) - [i64]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 abs/2312.07330 (2023) - [i63]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 abs/2312.15010 (2023) - 2022
- [j31]Jianyuan Deng, Zhibo Yang, Iwao Ojima, Dimitris Samaras, Fusheng Wang:
Artificial intelligence in drug discovery: applications and techniques. Briefings Bioinform. 23(1) (2022) - [j30]Hieu Le, Dimitris Samaras:
Physics-Based Shadow Image Decomposition for Shadow Removal. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9088-9101 (2022) - [c133]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: 5027-5036 - [c132]Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-Absent Human Attention. ECCV (4) 2022: 52-68 - [c131]Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras:
Learning an Isometric Surface Parameterization for Texture Unwrapping. ECCV (37) 2022: 580-597 - [c130]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 - [c129]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: 11-21 - [c128]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: 192-201 - [c127]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion Models as Plug-and-Play Priors. NeurIPS 2022 - [c126]Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras:
Swift: Adaptive Video Streaming with Layered Neural Codecs. NSDI 2022: 103-118 - [c125]Ke Ma, Sagnik Das, Zhixin Shu, Dimitris Samaras:
Learning From Documents in the Wild to Improve Document Unwarping. SIGGRAPH (Conference Paper Track) 2022: 34:1-34:9 - [c124]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. WACV 2022: 449-458 - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Structural Representation for Biomedical Image Segmentation. CoRR abs/2206.01742 (2022) - [i57]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion models as plug-and-play priors. CoRR abs/2206.09012 (2022) - [i56]Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-absent Human Attention. CoRR abs/2207.01166 (2022) - [i55]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 abs/2207.08267 (2022) - [i54]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 abs/2208.03486 (2022) - [i53]Jianyuan Deng, Zhibo Yang, Hehe Wang, Iwao Ojima, Dimitris Samaras, Fusheng Wang:
Taking a Respite from Representation Learning for Molecular Property Prediction. CoRR abs/2209.13492 (2022) - [i52]Qiaomu Miao, Minh Hoai, Dimitris Samaras:
Patch-level Gaze Distribution Prediction for Gaze Following. CoRR abs/2211.11062 (2022) - [i51]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 abs/2212.12105 (2022) - [i50]Priyank Pathak, Jingwei Zhang, Dimitris Samaras:
Local Learning on Transformers via Feature Reconstruction. CoRR abs/2212.14215 (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