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ORCIDDimitris Samaras
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- affiliation: Stony Brook University, USA
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2020 – today
- 2025
[i115]Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan:
Leveraging Registers in Vision Transformers for Robust Adaptation. CoRR abs/2501.04784 (2025)- [i114]Minh-Quan Le, Gaurav Mittal, Tianjian Meng, A S. M. Iftekhar, Vishwas Suryanarayanan, Barun Patra, Dimitris Samaras, Mei Chen:
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment. CoRR abs/2502.05153 (2025) - [i113]Aggelina Chatziagapi, Louis-Philippe Morency, Hongyu Gong, Michael Zollhoefer, Dimitris Samaras, Alexander Richard:
AV-Flow: Transforming Text to Audio-Visual Human-like Interactions. CoRR abs/2502.13133 (2025) - 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) - [c169]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 - [c168]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 - [c167]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 - [c166]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 - [c165]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 - [c164]Souradeep Chakraborty, Dimitris Samaras:
Self-supervised Co-salient Object Detection via Feature Correspondences at Multiple Scales. ECCV (9) 2024: 231-250 - [c163]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 - [c162]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 - [c161]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 - [c160]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. ECCV (24) 2024: 388-408 - [c159]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 - [c158]Jingyi Xu, Hieu Le, Dimitris Samaras:
Assessing Sample Quality via the Latent Space of Generative Models. ECCV (59) 2024: 449-464 - [c157]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 - [c156]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 - [c155]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 - [c154]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 - [i112]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) - [i111]Alfredo Rivero, ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos. CoRR abs/2402.03723 (2024) - [i110]Souradeep Chakraborty, Dimitris Samaras:
Self-supervised co-salient object detection via feature correspondence at multiple scales. CoRR abs/2403.11107 (2024) - [i109]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) - [i108]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MI-NeRF: Learning a Single Face NeRF from Multiple Identities. CoRR abs/2403.19920 (2024) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. CoRR abs/2407.07284 (2024) - [i102]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) - [i101]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) - [i100]Jingyi Xu, Hieu Le, Dimitris Samaras:
Assessing Sample Quality via the Latent Space of Generative Models. CoRR abs/2407.15171 (2024) - [i99]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) - [i98]Shilin Hu, Hieu Le, ShahRukh Athar, Sagnik Das, Dimitris Samaras:
Shadow Removal Refinement via Material-Consistent Shadow Edges. CoRR abs/2409.06848 (2024) - [i97]Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Dimitris Samaras:
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation. CoRR abs/2409.12156 (2024) - [i96]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) - [i95]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) - [i94]Saumya Gupta, Dimitris Samaras, Chao Chen:
TopoDiffusionNet: A Topology-aware Diffusion Model. CoRR abs/2410.16646 (2024) - [i93]Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras:
Fast constrained sampling in pre-trained diffusion models. CoRR abs/2410.18804 (2024) - [i92]Haoyu Wu, Meher Gitika Karumuri, Chuhang Zou, Seungbae Bang, Yuelong Li, Dimitris Samaras, Sunil Hadap:
Direct and Explicit 3D Generation from a Single Image. CoRR abs/2411.10947 (2024) - [i91]E-Ro Nguyen, Hieu Le, Dimitris Samaras, Michael Ryoo:
Instance-Aware Generalized Referring Expression Segmentation. CoRR abs/2411.15087 (2024) - [i90]Haoyu Wu, Jingyi Xu, Hieu Le, Dimitris Samaras:
Importance-based Token Merging for Diffusion Models. CoRR abs/2411.16720 (2024) - [i89]Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras:
ZoomLDM: Latent Diffusion Model for multi-scale image generation. CoRR abs/2411.16969 (2024) - [i88]Yixiong Yang, Shilin Hu, Haoyu Wu, Ramon Baldrich, Dimitris Samaras, María Vanrell:
MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields. CoRR abs/2411.17235 (2024) - [i87]Jingwei Zhang, Anh Tien Nguyen, Xi Han, Vincent Quoc-Huy Trinh, Hong Qin, Dimitris Samaras, Mahdi S. Hosseini:
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification. CoRR abs/2412.00678 (2024) - [i86]Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras:
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. CoRR abs/2412.01672 (2024) - [i85]Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen:
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. CoRR abs/2412.06011 (2024) - [i84]Jason Qin, Shikun Ban, Wentao Zhu, Yizhou Wang, Dimitris Samaras:
Learning Human-Aware Robot Policies for Adaptive Assistance. CoRR abs/2412.11913 (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) - [c153]Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras:
Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. BMVC 2023: 478-479 - [c152]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 - [c151]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 - [c150]Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras:
Zero-Shot Object Counting. CVPR 2023: 15548-15557 - [c149]Aggelina Chatziagapi, Dimitris Samaras:
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction. CVPR 2023: 16878-16889 - [c148]Jingyi Xu, Hieu Le, Dimitris Samaras:
Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection. CVPR 2023: 19713-19722 - [c147]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
FLAME-in-NeRF: Neural control of Radiance Fields for Free View Face Animation. FG 2023: 1-8 - [c146]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 - [c145]Haoyu Wu, Alexandros Graikos, Dimitris Samaras:
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. ICCV 2023: 3533-3545 - [c144]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR 2023 - [c143]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. IPMI 2023: 743-754 - [c142]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 - [c141]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 - [c140]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 - [c139]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 - [c138]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 - [c137]Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz:
Few Shot Hematopoietic Cell Classification. MIDL 2023: 1085-1103 - [c136]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 - [c135]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) - [c134]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 - [c133]Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-Absent Human Attention. ECCV (4) 2022: 52-68 - [c132]Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras:
Learning an Isometric Surface Parameterization for Texture Unwrapping. ECCV (37) 2022: 580-597 - [c131]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 - [c130]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 - [c129]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 - [c128]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion Models as Plug-and-Play Priors. NeurIPS 2022 - [c127]Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras:
Swift: Adaptive Video Streaming with Layered Neural Codecs. NSDI 2022: 103-118 - [c126]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 - [c125]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) - [c124]Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras:
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. 3DV 2021: 815-824 - [c123]Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. AAAI 2021: 872-881 - [c122]Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling:
Modeling Deep Learning Based Privacy Attacks on Physical Mail. AAAI 2021: 1593-1601 - [c121]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 - [c120]Xuan Xu, Dimitris Samaras, Prateek Prasanna:
Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma. EMBC 2021: 3998-4001 - [c119]Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Multi-Class Cell Detection Using Spatial Context Representation. ICCV 2021: 3985-3994 - [c118]Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras:
End-to-end Piece-wise Unwarping of Document Images. ICCV 2021: 4248-4257 - [c117]Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras:
Variational Feature Disentangling for Fine-Grained Few-Shot Classification. ICCV 2021: 8792-8801 - [c116]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR 2021 - [c115]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna:
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) 2021: 345-355 - [c114]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. MICCAI (7) 2021: 356-366 - [i49]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i48]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. CoRR abs/2103.13538 (2021) - [i47]Jianyuan Deng, Zhibo Yang, Dimitris Samaras, Fusheng Wang:
Artificial Intelligence in Drug Discovery: Applications and Techniques. CoRR abs/2106.05386 (2021) - [i46]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. CoRR abs/2107.06276 (2021) - [i45]Shilin Hu, Hieu Le, Dimitris Samaras:
Temporal Feature Warping for Video Shadow Detection. CoRR abs/2107.14287 (2021) - [i44]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation. CoRR abs/2108.04913 (2021) - [i43]Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras:
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. CoRR abs/2108.05465 (2021) - [i42]Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Multi-Class Cell Detection Using Spatial Context Representation. CoRR abs/2110.04886 (2021) - [i41]Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han:
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR abs/2111.11652 (2021) - 2020
- [c113]Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. BMVC 2020 - [c112]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 - [c111]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 - [c110]Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen:
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) 2020: 118-136 - [c109]Hieu Le, Dimitris Samaras:
From Shadow Segmentation to Shadow Removal. ECCV (11) 2020: 264-281 - [c108]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 - [c107]Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras:
Learning Monocular Face Reconstruction using Multi-View Supervision. FG 2020: 241-248 - [c106]ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Self-supervised Deformation Modeling for Facial Expression Editing. FG 2020: 294-301 - [c105]Megan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory J. Zelinsky, Dimitris Samaras, Johanna M. Jarcho:
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression. FG 2020: 557-561 - [c104]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 - [c103]Hassan A. Sial, Ramon Baldrich, María Vanrell, Dimitris Samaras:
Light Direction and Color Estimation from Single Image with Deep Regression. LIM 2020: 139-143 - [c102]Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen:
Distribution Matching for Crowd Counting. NeurIPS 2020 - [i40]Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. CoRR abs/2001.11921 (2020) - [i39]Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. CoRR abs/2002.07913 (2020) - [i38]Jianyuan Deng, Zhibo Yang, Yao Li, Dimitris Samaras, Fusheng Wang:
Towards Better Opioid Antagonists Using Deep Reinforcement Learning. CoRR abs/2004.04768 (2020) - [i37]Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning. CoRR abs/2005.14310 (2020) - [i36]Hieu 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 Le, Dimitris Samaras:
Physics-based Shadow Image Decomposition for Shadow Removal. CoRR abs/2012.13018 (2020)
2010 – 2019
- 2019
- [j26]Mengjiao Wang, Zhixin Shu, Shiyang Cheng, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou:
An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations. Int. J. Comput. Vis. 127(6-7): 743-762 (2019) - [j25]Le Hou, Vu Nguyen, Ariel B. Kanevsky, Dimitris Samaras, Tahsin M. Kurç, Tianhao Zhao, Rajarsi R. Gupta, Yi Gao, Wenjin Chen, David J. Foran, Joel H. Saltz:
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. Pattern Recognit. 86: 188-200 (2019) - [c101]Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c100]Tahsin M. Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy Diprima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel H. Saltz:
From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) 2019: 371-379 - [c99]Shuai Ma, Zijun Wei, Feng Tian, Xiangmin Fan, Jianming Zhang, Xiaohui Shen, Zhe Lin, Jin Huang, Radomír Mech, Dimitris Samaras, Hongan Wang:
SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network. CHI 2019: 471 - [c98]Hieu Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. CVPR Workshops 2019: 18-25 - [c97]Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras, Minh Hoai:
Benchmarking Gaze Prediction for Categorical Visual Search. CVPR Workshops 2019: 828-836 - [c96]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019: 8533-8542 - [c95]Conor Kelton, Zijun Wei, Seoyoung Ahn, Aruna Balasubramanian, Samir R. Das, Dimitris Samaras, Gregory J. Zelinsky:
Reading detection in real-time. ETRA 2019: 43:1-43:5 - [c94]Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot:
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. ICCV 2019: 131-140 - [c93]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
Wasserstein GAN With Quadratic Transport Cost. ICCV 2019: 4831-4840 - [c92]Hieu Le, Dimitris Samaras:
Shadow Removal via Shadow Image Decomposition. ICCV 2019: 8577-8586 - [c91]Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. ICCV Workshops 2019: 4054-4064 - [c90]Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic:
Label super-resolution networks. ICLR (Poster) 2019 - [c89]Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi Gupta, Kenneth Shroyer, Joel H. Saltz:
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. MICCAI (1) 2019: 541-549 - [c88]Sohee Kim Park, Arani Bhattacharya, Zhibo Yang, Mallesham Dasari, Samir R. Das, Dimitris Samaras:
Advancing User Quality of Experience in 360-degree Video Streaming. Networking 2019: 1-9 - [c87]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. NeurIPS 2019: 5658-5669 - [i25]Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz:
Label Super Resolution with Inter-Instance Loss. CoRR abs/1904.04429 (2019) - [i24]Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion. CoRR abs/1904.11960 (2019) - [i23]Hieu Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. CoRR abs/1905.03313 (2019) - [i22]Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. CoRR abs/1905.10841 (2019) - [i21]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. CoRR abs/1906.05404 (2019) - [i20]Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz:
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR abs/1907.03960 (2019) - [i19]Hieu 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 (2018) - [c86]Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras:
DocUNet: Document Image Unwarping via a Stacked U-Net. CVPR 2018: 4700-4709 - [c85]Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras:
Good View Hunting: Learning Photo Composition From Dense View Pairs. CVPR 2018: 5437-5446 - [c84]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) 2018: 664-680 - [c83]Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras:
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. ECCV (2) 2018: 680-696 - [c82]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
A Two-Step Computation of the Exact GAN Wasserstein Distance. ICML 2018: 3165-3174 - [c81]Zijun Wei, Boyu Wang, Minh Hoai Nguyen, Jianming Zhang, Zhe Lin, Xiaohui Shen, Radomír Mech, Dimitris Samaras:
Sequence-to-Segment Networks for Segment Detection. NeurIPS 2018: 3511-3520 - [i16]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR abs/1806.06503 (2018) - [i15]Huidong Liu, Yang Guo, Na Lei, Zhixin Shu, Shing-Tung Yau, Dimitris Samaras, Xianfeng Gu:
Latent Space Optimal Transport for Generative Models. CoRR abs/1809.05964 (2018) - 2017
- [j22]Alexandre Abraham, Michael P. Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, Bertrand Thirion, Gaël Varoquaux:
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. NeuroImage 147: 736-745 (2017) - [j21]Zhixin Shu, Eli Shechtman, Dimitris Samaras, Sunil Hadap:
EyeOpener: Editing Eyes in the Wild. ACM Trans. Graph. 36(1): 1:1-1:13 (2017) - [j20]Zhixin Shu, Sunil Hadap, Eli Shechtman, Kalyan Sunkavalli, Sylvain Paris, Dimitris Samaras:
Portrait lighting transfer using a mass transport approach. ACM Trans. Graph. 36(4) (2017) - [c80]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz:
ConvNets with Smooth Adaptive Activation Functions for Regression. AISTATS 2017: 430-439 - [c79]Ke Ma, Minh Hoai, Dimitris Samaras:
Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. BMVC 2017 - [c78]Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras:
Neural Face Editing with Intrinsic Image Disentangling. CVPR 2017: 5444-5453 - [c77]Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras:
Shadow Detection with Conditional Generative Adversarial Networks. ICCV 2017: 4520-4528 - [c76]Hieu Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras:
Co-localization with Category-Consistent Features and Geodesic Distance Propagation. ICCV Workshops 2017: 1103-1112 - [c75]Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. WACV 2017: 834-841 - [i14]Hieu 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 Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras:
A+D-Net: Shadow Detection with Adversarial Shadow Attenuation. CoRR abs/1712.01361 (2017) - [i8]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Unsupervised Histopathology Image Synthesis. CoRR abs/1712.05021 (2017) - 2016
- [j19]Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
Higher-Order Graph Principles towards Non-Rigid Surface Registration. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2416-2429 (2016) - [c74]Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras:
Geodesic Distance Histogram Feature for Video Segmentation. ACCV (1) 2016: 275-290 - [c73]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz:
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification. CVPR 2016: 2424-2433 - [c72]Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains. CVPR 2016: 3783-3792 - [c71]Tomás F. Yago Vicente, Le Hou, Chen-Ping Yu, Minh Hoai, Dimitris Samaras:
Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples. ECCV (6) 2016: 816-832 - [c70]Jihoon Ryoo, Kiwon Yun, Dimitris Samaras, Samir R. Das, Gregory J. Zelinsky:
Design and evaluation of a foveated video streaming service for commodity client devices. MMSys 2016: 6:1-6:11 - [c69]Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras:
Learned Region Sparsity and Diversity Also Predicts Visual Attention. NIPS 2016: 1894-1902 - [c68]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 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) - [c67]Charilaos Papadopoulos, H. Choi, J. Sinha, Kiwon Yun, Arie E. Kaufman, Dimitris Samaras, Bireswar Laha:
Practical chirocentric 3DUI platform for immersive environments. 3DUI 2015: 31-34 - [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 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]Alexandros Panagopoulos, Sunil Hadap, Dimitris Samaras:
Reconstructing Shape from Dictionaries of Shading Primitives. ACCV (4) 2012: 80-94 - [c49]Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, Tamara L. Berg, Dimitris Samaras:
Two-person interaction detection using body-pose features and multiple instance learning. CVPR Workshops 2012: 28-35 - [c48]Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi:
Variable Selection for Gaussian Graphical Models. AISTATS 2012: 538-546 - [i1]Jean Honorio, Dimitris Samaras:
Simultaneous and Group-Sparse Multi-Task Learning of Gaussian Graphical Models. CoRR abs/1207.4255 (2012) - 2011
- [c47]Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
Illumination estimation and cast shadow detection through a higher-order graphical model. CVPR 2011: 673-680 - [c46]Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
Intrinsic dense 3D surface tracking. CVPR 2011: 1225-1232 - [c45]Chan-Su Lee, Dimitris Samaras:
Analysis and synthesis of facial expressions using decomposable nonlinear generative models. FG 2011: 847-852 - [c44]Chaohui Wang, Yun Zeng, Loïc Simon, Ioannis A. Kakadiaris, Dimitris Samaras, Nikos Paragios:
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. ICCV 2011: 319-326 - [c43]Alexandros Panagopoulos, Tomas F. Yago Vicente, Dimitris Samaras:
Illumination estimation from shadow borders. ICCV Workshops 2011: 798-805 - 2010
- [j13]Wei Zeng, Dimitris Samaras, Xianfeng David Gu:
Ricci Flow for 3D Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 662-677 (2010) - [c42]Xi Zhao, Emmanuel Dellandréa, Liming Chen, Dimitris Samaras:
AU recognition on 3D faces based on an extended statistical facial feature model. BTAS 2010: 1-6 - [c41]Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
Dense non-rigid surface registration using high-order graph matching. CVPR 2010: 382-389 - [c40]Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
Estimating Shadows with the Bright Channel Cue. ECCV Workshops (1) 2010: 1-12 - [c39]Jean Honorio, Dimitris Samaras:
Multi-Task Learning of Gaussian Graphical Models. ICML 2010: 447-454 - [c38]Przemyslaw Szeptycki, Mohsen Ardabilian, Liming Chen, Wei Zeng, Xianfeng David Gu, Dimitris Samaras:
Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces. ICPR 2010: 1505-1508 - [c37]Jean Honorio, Dimitris Samaras, Dardo Tomasi, Rita Z. Goldstein:
Simple fully automated group classification on brain FMRI. ISBI 2010: 1145-1148
2000 – 2009
- 2009
- [j12]Yang Wang, Lei Zhang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, Dimitris Samaras:
Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 1968-1984 (2009) - [c36]Alexandros Panagopoulos, Dimitris Samaras, Nikos Paragios:
Robust shadow and illumination estimation using a mixture model. CVPR 2009: 651-658 - [c35]Jean Honorio, Luis E. Ortiz, Dimitris Samaras, Nikos Paragios, Rita Z. Goldstein:
Sparse and Locally Constant Gaussian Graphical Models. NIPS 2009: 745-753 - 2008
- [j11]Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Peng:
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images. Comput. Vis. Image Underst. 112(1): 81-90 (2008) - [j10]Yang Wang, Mohit Gupta, Song Zhang, Sen Wang, Xianfeng Gu, Dimitris Samaras, Peisen Huang:
High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps. Int. J. Comput. Vis. 76(3): 283-300 (2008) - [j9]Yang Wang, Dimitris Samaras:
Estimation of multiple directional illuminants from a single image. Image Vis. Comput. 26(9): 1179-1195 (2008) - [j8]Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras:
Dependent Multiple Cue Integration for Robust Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 670-685 (2008) - [c34]Wei Zeng, Xiaotian Yin, Yun Zeng, Yu-Kun Lai, Xianfeng Gu, Dimitris Samaras:
3D face matching and registration based on hyperbolic Ricci flow. CVPR Workshops 2008: 1-8 - [c33]Wei Zeng, Yun Zeng, Yang Wang, Xiaotian Yin, Xianfeng Gu, Dimitris Samaras:
3D Non-rigid Surface Matching and Registration Based on Holomorphic Differentials. ECCV (3) 2008: 1-14 - [c32]Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Task-Specific Functional Brain Geometry from Model Maps. MICCAI (1) 2008: 925-933 - 2007
- [j7]Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras:
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments. Image Vis. Comput. 25(3): 285-296 (2007) - [j6]Sen Wang, Yang Wang, Miao Jin, Xianfeng David Gu, Dimitris Samaras:
Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1209-1220 (2007) - [c31]Vincent Cheung, Nebojsa Jojic, Dimitris Samaras:
Capturing long-range correlations with patch models. CVPR 2007 - [c30]Yang Wang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, Dimitris Samaras:
Face Re-Lighting from a Single Image under Harsh Lighting Conditions. CVPR 2007 - [c29]Xianfeng Gu, Sen Wang, Junho Kim, Yun Zeng, Yang Wang, Hong Qin, Dimitris Samaras:
Ricci Flow for 3D Shape Analysis. ICCV 2007: 1-8 - [c28]Wei Zhang, Gregory J. Zelinsky, Dimitris Samaras:
Real-time Accurate Object Detection using Multiple Resolutions. ICCV 2007: 1-8 - 2006
- [j5]Lei Zhang, Dimitris Samaras:
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 351-363 (2006) - [j4]Hanspeter Pfister, Dimitris Samaras:
Guest Editorial. Vis. Comput. 22(6): 371-371 (2006) - [c27]Heng Huang, Lei Zhang, Dimitris Samaras, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman:
Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. 3DPVT 2006: 381-388 - [c26]Sen Wang, Yang Wang, Miao Jin, Xianfeng Gu, Dimitris Samaras:
3D Surface Matching and Recognition Using Conformal Geometry. CVPR (2) 2006: 2453-2460 - [c25]Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras:
A Target Dependent Colorspace for Robust Tracking. ICPR (3) 2006: 43-46 - [c24]Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras:
Integration of Dependent Bayesian Filters for Robust Tracking. ICRA 2006: 4081-4087 - 2005
- [c23]Sen Wang, Lei Zhang, Dimitris Samaras:
Face Reconstruction Across Different Poses and Arbitrary Illumination Conditions. AVBPA 2005: 91-101 - [c22]Lei Zhang, Yang Wang, Sen Wang, Dimitris Samaras, Song Zhang, Peisen Huang:
Image-driven re-targeting and relighting of facial expressions. Computer Graphics International 2005: 11-18 - [c21]Lei Zhang, Sen Wang, Dimitris Samaras:
Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable Model. CVPR (2) 2005: 209-216 - [c20]Wei Zhang, Bing Yu, Gregory J. Zelinsky, Dimitris Samaras:
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features. CVPR (2) 2005: 323-330 - [c19]Dimitris Samaras, Yang Wang, Lei Zhang, Sen Wang, Mohit Gupta:
Face Modeling and Analysis in Stony Brook University. CVPR (2) 2005: 1200 - [c18]Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging. CVPR (1) 2005: 1211-1217 - [c17]Yang Wang, Mohit Gupta, Song Zhang, Sen Wang, Xianfeng Gu, Dimitris Samaras, Peisen Huang:
High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps. ICCV 2005: 388-395 - [c16]Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras:
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation. ICCV 2005: 1713-1720 - [c15]Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nelly Alia-Klein, Lisa Cottone, Andreana Leskovjan, Nora D. Volkow, Rita Z. Goldstein:
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data. MICCAI 2005: 679-687 - [c14]Gregory J. Zelinsky, Wei Zhang, Bing Yu, Xin Chen, Dimitris Samaras:
The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search. NIPS 2005: 1569-1576 - [c13]Lei Zhang, Dimitris Samaras, Nelly Alia-Klein, Nora D. Volkow, Rita Z. Goldstein:
Modeling Neuronal Interactivity using Dynamic Bayesian Networks. NIPS 2005: 1593-1600 - [c12]Wei Zhang, Hyejin Yang, Dimitris Samaras, Gregory J. Zelinsky:
A Computational Model of Eye Movements during Object Class Detection. NIPS 2005: 1609-1616 - [e1]Baining Guo, Hanspeter Pfister, Dimitris Samaras:
Computer Graphics International 2005, CGI 2005, Stony Brook, NY, USA, June 22-24, 2005. IEEE Computer Society 2005, ISBN 0-7803-9330-9 [contents] - 2004
- [j3]Yang Wang, Xiaolei Huang, Chan-Su Lee, Song Zhang, Zhiguo Li, Dimitris Samaras, Dimitris N. Metaxas, Ahmed M. Elgammal, Peisen Huang:
High Resolution Acquisition, Learning and Transfer of Dynamic 3D Facial Expressions. Comput. Graph. Forum 23(3): 677-686 (2004) - [c11]Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras:
Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation in Dynamic Environments. CVPR Workshops 2004: 13 - [c10]Xiaolei Huang, Song Zhang, Yang Wang, Dimitris N. Metaxas, Dimitris Samaras:
A Hierarchical Framework For High Resolution Facial Expression Tracking. CVPR Workshops 2004: 22 - [c9]Lei Zhang, Dimitris Samaras:
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics. ECCV Workshop BioAW 2004: 10-23 - [c8]Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras:
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces. ECCV (3) 2004: 238-251 - 2003
- [j2]Yang Wang, Dimitris Samaras:
Estimation of multiple directional light sources for synthesis of augmented reality images. Graph. Model. 65(4): 185-205 (2003) - [j1]Dimitris Samaras, Dimitris N. Metaxas:
Incorporating Illumination Constraints in Deformable Models for Shape from Shading and Light Direction Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 25(2): 247-264 (2003) - [c7]Lei Zhang, Dimitris Samaras:
Face Recognition Under Variable Lighting using Harmonic Image Exemplars. CVPR (1) 2003: 19-25 - [c6]Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, John Oliensis:
Using Multiple Cues for Hand Tracking and Model Refinement. CVPR (2) 2003: 443-450 - 2002
- [c5]Yang Wang, Dimitris Samaras:
Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry. ECCV (3) 2002: 272-288 - [c4]Yang Wang, Dimitris Samaras:
Estimation of Multiple Directional Light Sources for Synthesis of Mixed Reality Images. PG 2002: 38-47 - 2000
- [c3]Dimitris Samaras, Dimitris N. Metaxas, Pascal Fua, Yvan G. Leclerc:
Variable Albedo Surface Reconstruction from Stereo and Shape from Shading. CVPR 2000: 1480-1487
1990 – 1999
- 1999
- [c2]Dimitris Samaras, Dimitris N. Metaxas:
Coupled Lighting Direction and Shape Estimation from Single Images. ICCV 1999: 868-874 - 1998
- [c1]Dimitris Samaras, Dimitris N. Metaxas:
Incorporating Illumination Constraints in Deformable Models. CVPR 1998: 322-329
Coauthor Index
Shahrukh Athar
aka: ShahRukh Athar
aka: ShahRukh Athar
Xianfeng Gu
aka: Xianfeng David Gu
aka: Xianfeng David Gu
Rajarsi Gupta 0001
aka: Rajarsi R. Gupta
aka: Rajarsi R. Gupta
Minh Hoai
aka: Minh Hoai Nguyen
aka: Minh Hoai Nguyen
[j33] [c167] [c166] [c165] [c161] [c156] [c154] [i109] [i101] [i89] [i86] [c151] [c142] [c140] [c139] [c138] [c137] [i80] [i77] [i71] [i70] [i69] [i64] [i63] [c131] [c130] [c129] [i61] [i59] [i55] [i51] [c121] [c119] [i42] [c108] [c104] [i39] [j25] [c101] [c100] [c96] [c90] [c89] [i25] [i22] [i20] [i18] [c80] [c75] [i13] [i8] [c73] [i7] [i4] [i3]
Tomás F. Yago Vicente
aka: Tomas F. Yago Vicente
aka: Tomas F. Yago Vicente
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