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20172024
most citedKGAT: Knowledge Graph Attention Network for Recommendation

2.2k citations · 6.2k across the 56 of their papers we have counts for

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8 papers · 1 filter

cs.CV202326 cited

CgT-GAN: CLIP-guided Text GAN for Image Captioning

Jiarui Yu, Haoran Li, Yanbin Hao +3

The large-scale visual-language pre-trained model, Contrastive Language-Image Pre-training (CLIP), has significantly improved image captioning for scenarios without human-annotated…

cs.CV20233 cited

Bi-directional Distribution Alignment for Transductive Zero-Shot Learning

Zhicai Wang, Yanbin Hao, Tingting Mu +3

It is well-known that zero-shot learning (ZSL) can suffer severely from the problem of domain shift, where the true and learned data distributions for the unseen classes do not mat…

cs.CV20221 cited

Attention in Attention: Modeling Context Correlation for Efficient Video Classification

Yanbin Hao, Shuo Wang, Pei Cao +4

Attention mechanisms have significantly boosted the performance of video classification neural networks thanks to the utilization of perspective contexts. However, the current rese…

cs.CV20223 cited

Group Contextualization for Video Recognition

Yanbin Hao, Hao Zhang, Chong-Wah Ngo +1

Learning discriminative representation from the complex spatio-temporal dynamic space is essential for video recognition. On top of those stylized spatio-temporal computational uni…

cs.CV2021

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance

An Zhang, Xiang Wang, Chengfang Fang +3

Gradient-based attribution methods can aid in the understanding of convolutional neural networks (CNNs). However, the redundancy of attribution features and the gradient saturation…

cs.CV2019198 cited

Learning to Compose and Reason with Language Tree Structures for Visual Grounding

Richang Hong, Daqing Liu, Xiaoyu Mo +2

Grounding natural language in images, such as localizing "the black dog on the left of the tree", is one of the core problems in artificial intelligence, as it needs to comprehend…