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papers

Publications (12)

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

Hongyang Li, David Eigen, Samuel Dodge +2

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, Mauricio Reyes, Andras Jakab +421

Learning Deep Features via Congenerous Cosine Loss for Person Recognition

Yu Liu, Hongyang Li, Xiaogang Wang

Rethinking Feature Discrimination and Polymerization for Large-scale Recognition

Yu Liu, Hongyang Li, Xiaogang Wang

Dual Deep Network for Visual Tracking

Zhizhen Chi, Hongyang Li, Huchuan Lu +1

Zoom Out-and-In Network with Recursive Training for Object Proposal

Hongyang Li, Yu Liu, Wanli Ouyang +1

Multi-Bias Non-linear Activation in Deep Neural Networks

Hongyang Li, Wanli Ouyang, Xiaogang Wang

LCNN: Low-level Feature Embedded CNN for Salient Object Detection

Hongyang Li, Huchuan Lu, Zhe Lin +2

Neural Network Encapsulation

Hongyang Li, Xiaoyang Guo, Bo Dai +2

Recurrent Scale Approximation for Object Detection in CNN

Yu Liu, Hongyang Li, Junjie Yan +3

Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

Hongyang Li, Yu Liu, Wanli Ouyang +1

Feature Intertwiner for Object Detection

Hongyang Li, Bo Dai, Shaoshuai Shi +2