128 citations · 932 across the 39 of their papers we have counts for
7 papers · 1 filter
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu, Lu Sheng, Jing Shao +3
Multi-label image classification is a fundamental but challenging task towards general visual understanding. Existing methods found the region-level cues (e.g., features from RoIs)…
Localization Guided Learning for Pedestrian Attribute Recognition
Pengze Liu, Xihui Liu, Junjie Yan +1
Pedestrian attribute recognition has attracted many attentions due to its wide applications in scene understanding and person analysis from surveillance videos. Existing methods tr…
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhao Zhong, Zichen Yang, Boyang Deng +4
Convolutional neural networks have gained a remarkable success in computer vision. However, most usable network architectures are hand-crafted and usually require expertise and ela…
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
Guojun Yin, Lu Sheng, Bin Liu +4
Recognizing visual relationships <subject-predicate-object> among any pair of localized objects is pivotal for image understanding. Previous studies have shown remarkable progress…
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
Lu Sheng, Ziyi Lin, Jing Shao +1
Zero-shot artistic style transfer is an important image synthesis problem aiming at transferring arbitrary style into content images. However, the trade-off between the generalizat…
Exploring Disentangled Feature Representation Beyond Face Identification
Yu Liu, Fangyin Wei, Jing Shao +3
This paper proposes learning disentangled but complementary face features with minimal supervision by face identification. Specifically, we construct an identity Distilling and Dis…
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
Xihui Liu, Hongsheng Li, Jing Shao +2
The aim of image captioning is to generate captions by machine to describe image contents. Despite many efforts, generating discriminative captions for images remains non-trivial.…