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Ke Ma 0005
Person information
- affiliation: Snap Inc., USA
- affiliation (former): Stony Brook University, USA
Other persons with the same name
- Ke Ma — disambiguation page
- Ke Ma 0001
— School of Computer Science and Technology, University of Chinese Academy of Sciences, China
- Ke Ma 0002
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China (and 1 more)
- Ke Ma 0003
— Pacific Northwest National Laboratory, Richland, WA, USA (and 1 more)
- Ke Ma 0004 — Rutgers University, Piscataway, NJ, USA
- Ke Ma 0006
— Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, China
- Ke Ma 0007
— Sun Yat-sen University, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangzhou, China (and 1 more)
- Ke Ma 0008
— University of Borås, Department of Business Administration and Textile Management, Sweden (and 1 more)
- Ke Ma 0009
— Nanjing University of Posts and Telecommunications, School of Computer Science, China
- Ke Ma 0010
— Sun Yat-sen University, School of Aeronautics and Astronautics, Guangzhou, China
- Ke Ma 0011 — University of Sheffield, Department of Automatic Control and Systems Engineering, Department of Civil and Structural Engineering, UK
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2020 – today
- 2023
- [c12]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 - [c11]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 - [c10]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 - [i6]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) - [i5]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) - 2022
- [j1]Zhong Li
, Xueting Yang
, Cheng Wang
, Ke Ma, Changjun Jiang
:
Crowd-Learning: A Behavior-Based Verification Method in Software-Defined Vehicular Networks With MEC Framework. IEEE Internet Things J. 9(2): 1622-1639 (2022) - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [i4]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) - [i3]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) - [i2]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) - 2021
- [c5]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 - 2020
- [c4]Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. BMVC 2020 - [i1]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)
2010 – 2019
- 2019
- [c3]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 - 2017
- [c2]Ke Ma, Minh Hoai, Dimitris Samaras:
Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. BMVC 2017 - 2016
- [c1]Ke Ma, Tomas F. Yago Vicente
, Dimitris Samaras, Michael Petrucci, Daniel L. Magnus:
Texture classification for rail surface condition evaluation. WACV 2016: 1-9
Coauthor Index

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last updated on 2025-04-22 22:09 CEST by the dblp team
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