activity
20162021
most citedBinary Generative Adversarial Networks for Image Retrieval

84 citations · 116 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CV2021

From General to Specific: Informative Scene Graph Generation via Balance Adjustment

Yuyu Guo, Lianli Gao, Xuanhan Wang +5

The scene graph generation (SGG) task aims to detect visual relationship triplets, i.e., subject, predicate, object, in an image, providing a structural vision layout for scene und…

cs.CV2021

Feature Space Targeted Attacks by Statistic Alignment

Lianli Gao, Yaya Cheng, Qilong Zhang +2

By adding human-imperceptible perturbations to images, DNNs can be easily fooled. As one of the mainstream methods, feature space targeted attacks perturb images by modulating thei…

cs.CV2020

Universal Weighting Metric Learning for Cross-Modal Matching

Jiwei Wei, Xing Xu, Yang Yang +3

Cross-modal matching has been a highlighted research topic in both vision and language areas. Learning appropriate mining strategy to sample and weight informative pairs is crucial…

cs.CV2019

Cooperative Cross-Stream Network for Discriminative Action Representation

Jingran Zhang, Fumin Shen, Xing Xu +1

Spatial and temporal stream model has gained great success in video action recognition. Most existing works pay more attention to designing effective features fusion methods, which…

cs.CV2019

Temporal Reasoning Graph for Activity Recognition

Jingran Zhang, Fumin Shen, Xing Xu +1

Despite great success has been achieved in activity analysis, it still has many challenges. Most existing work in activity recognition pay more attention to design efficient archit…

cs.CV2019

Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking

Tan Wang, Xing Xu, Yang Yang +3

A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on…