Philip H. S. Torr - Concepedia

Author

Philip H. S. Torr

Also Known As

Arnab, A, Bibi, Adel, Boukhayma, A, Bunel, R, Dragan, Anca, Dupont, Emilien, Foerster, Jakob N., Ganesh Sundaramoorthi, Hartley, R, Jiang, Yu-Gang

529

Publications

58.9K

Citations

H-Index

219

Concepts

All Affiliations

University of Oxford Oxford Brookes University Nankai University Microsoft Research (United Kingdom)Stanford University

About

Philip H. S. Torr is an author at University of Oxford specializing in engineering, computer vision, and machine vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	73	175	36.1K
2	Language Studies	7	7	218
3	Education	5	5	280
4	Health Sciences	5	5	440
5	Medicine	4	4	183

Philip H. S. Torr

216

Publications

39.9K

Citations

H-Index

Page 1

	Year	Citations
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Convolutional Neural NetworkScene AnalysisImage AnalysisMachine VisionData Science	2021	3.4K
Res2Net: A New Multi-Scale Backbone Architecture Shanghua Gao, Ming‐Ming Cheng, Kai Zhao, IEEE Transactions on Pattern Analysis and Machine Intelligence Convolutional Neural NetworkEngineeringMachine LearningHigh Performance Computer NetworkComputer Architecture	2019	3.2K
Global Contrast Based Salient Region Detection Ming‐Ming Cheng, Niloy J. Mitra, Xiaolei Huang, IEEE Transactions on Pattern Analysis and Machine Intelligence Global ContrastScene AnalysisMachine VisionImage AnalysisMachine Learning	2014	2.4K
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera‐Paredes, Structured PredictionConvolutional Neural NetworkScene AnalysisEngineeringMachine Learning	2015	2.4K
Point Transformer Hengshuang Zhao, Li Jiang, Jiaya Jia, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Machine VisionMachine LearningImage AnalysisData SciencePattern Recognition	2021	2K
Struck: Structured output tracking with kernels Sam Hare, Amir Saffari, Philip H. S. Torr Adaptive TrackingMachine VisionImage AnalysisMachine LearningData Science	2011	1.8K
Fast Online Object Tracking and Segmentation: A Unifying Approach Qiang Wang, Li Zhang, Luca Bertinetto, EngineeringMachine LearningLocalizationVisual ObjectUnifying Approach	2019	1.5K
Deeply Supervised Salient Object Detection with Short Connections Qibin Hou, Ming‐Ming Cheng, Xiaowei Hu, Convolutional Neural NetworkScene AnalysisMachine VisionImage AnalysisMachine Learning	2017	1.2K
BING: Binarized Normed Gradients for Objectness Estimation at 300fps Ming‐Ming Cheng, Ziming Zhang, Wen-Yan Lin, Scene AnalysisEngineeringMachine LearningImage AnalysisData Science	2014	1.1K
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee, Wongun Choi, Paul Vernaza, Artificial IntelligenceEngineeringMachine LearningMultiple ScenesIntelligent Systems	2017	1K

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