230 citations · 532 across the 34 of their papers we have counts for
14 papers · 1 filter
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning
Yun Li, Zhe Liu, Lina Yao +3
Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observed classes to unseen classes via semantic correlations. A promising strategy is to learn a global-local repre…
Signature-Graph Networks
Ali Hamdi, Flora Salim, Du Yong Kim +1
We propose a novel approach for visual representation learning called Signature-Graph Neural Networks (SGN). SGN learns latent global structures that augment the feature representa…
Dynamic Slimmable Denoising Network
Zutao Jiang, Changlin Li, Xiaojun Chang +2
Recently, tremendous human-designed and automatically searched neural networks have been applied to image denoising. However, previous works intend to handle all noisy images in a…
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
Minnan Luo, Xiaojun Chang, Chen Gong
Multimedia event detection is the task of detecting a specific event of interest in an user-generated video on websites. The most fundamental challenge facing this task lies in the…
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions
Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh +3
Person re-identification (Re-ID) has been a significant research topic in the past decade due to its real-world applications and research significance. While supervised person Re-I…
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Changlin Li, Guangrun Wang, Bing Wang +3
Dynamic networks have shown their promising capability in reducing theoretical computation complexity by adapting their architectures to the input during inference. However, their…