Ke Ma - RankMe

19 papers A* 1A 3Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
2023	J	`jnl`	Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023	—	`conf`	Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023	—	`conf`	SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023	J	`jnl`	SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2022	J	`jnl`	Crowd-Learning: A Behavior-Based Verification Method in Software-Defined Vehicular Networks With MEC Framework. IEEE Internet Things J. Zhong Li, Xueting Yang, Cheng Wang, Ke Ma, Changjun Jiang
2022	—	`conf`	Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. MICCAI (2) Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2022	J	`jnl`	Gigapixel Whole-Slide Images Classification using Locally Supervised Learning. CoRR Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2022	—	`conf`	Learning From Documents in the Wild to Improve Document Unwarping. SIGGRAPH (Conference Paper Track) Ke Ma, Sagnik Das, Zhixin Shu, Dimitris Samaras
2022	J	`jnl`	Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
2022	—	`conf`	Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. MOVI@MICCAI 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
2022	—	`conf`	Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. ISBI Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2022	J	`jnl`	Visual attention analysis of pathologists examining whole slide images of Prostate cancer. CoRR Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2021	—	`conf`	A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. CVPR Workshops Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2020	A	`conf`	Intrinsic Decomposition of Document Images In-the-Wild. BMVC Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras
2020	J	`jnl`	Intrinsic Decomposition of Document Images In-the-Wild. CoRR Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, María Vanrell, Dimitris Samaras
2019	A*	`conf`	DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. ICCV Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot
2017	A	`conf`	Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. BMVC Ke Ma, Minh Hoai, Dimitris Samaras
2016	A	`conf`	Texture classification for rail surface condition evaluation. WACV Ke Ma, Tomas F. Yago Vicente, Dimitris Samaras, Michael Petrucci, Daniel L. Magnus