Dequan Wang - Concepedia

Author

Dequan Wang

University of California, Berkeley ORCID

Also Known As

DE-QUAN WANG, De-Quan Wang, De-quan Wang, Dequan WANG, Dequan Wang, Fasfous, Nael, Wang Dequan, Wang, Dequan

138

Publications

5.9K

Citations

H-Index

Concepts

All Affiliations

University of California, Berkeley Fudan University Berkeley College University of Hong Kong University of Science and Technology of China

About

Dequan Wang is an author at University of California, Berkeley specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	23	5.3K
2	Natural Sciences	2	2	776
3	Education	1	1	18
4	Management	1	1	14
5	Social Sciences	1	1	20

Dequan Wang

Publications

5.3K

Citations

H-Index

Page 1

	Year	Citations
Deep Layer Aggregation Fisher Yu, Dequan Wang, Evan Shelhamer, Convolutional Neural NetworkEngineeringMachine LearningData AggregationDeep Layer Aggregation	2018	1.5K
Objects as Points Xingyi Zhou, Dequan Wang, Philipp Krähenbühl arXiv (Cornell University) EngineeringMachine LearningGeometry3D Pose EstimationCenter Point	2019	739
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation Judy Hoffman, Dequan Wang, Fisher Yu, arXiv (Cornell University) Convolutional Neural NetworkImage AnalysisMachine LearningMachine VisionData Science	2016	692
VisDA: The Visual Domain Adaptation Challenge Xingchao Peng, Ben Usman, Neela Kaushik, arXiv (Cornell University) Multimodal LlmVisual Domain AdaptationImage AnalysisMachine LearningMachine Vision	2017	575
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang, Evan Shelhamer, Shaoteng Liu, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningEntropy Minimization	2020	284
Joint Monocular 3D Vehicle Detection and Tracking Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, EngineeringMachine LearningField RoboticsMonocular Videos3D Computer Vision	2019	238
Multiple Granularity Descriptors for Fine-Grained Categorization Dequan Wang, Zhiqiang Shen, Jie Shao, Convolutional Neural NetworkEngineeringMachine LearningObject CategorizationImage Classification	2015	233
Contrastive Test-Time Adaptation Dian Chen, Dequan Wang, Trevor Darrell, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Artificial IntelligenceStructured PredictionEngineeringMachine LearningAttention	2022	207
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation Xingchao Peng, Ben Usman, Neela Kaushik, Dataset ShiftMachine LearningEngineeringImage ClassificationVisual Domain Adaptation	2018	178
Deep Object-Centric Policies for Autonomous Driving Dequan Wang, Coline Devin, Qi-Zhi Cai, Artificial IntelligenceEngineeringMachine LearningObject-centric ModelsAutonomous Systems	2019	101

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