84 citations · 190 across the 15 of their papers we have counts for
15 papers
X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attention
Yixuan Zhou, Xuanhan Wang, Xing Xu +2
High-resolution representation is necessary for human pose estimation to achieve high performance, and the ensuing problem is high computational complexity. In particular, predomin…
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
Yixuan Zhou, Xing Xu, Jingkuan Song +2
Unsupervised anomaly detection (UAD) attracts a lot of research interest and drives widespread applications, where only anomaly-free samples are available for training. Some UAD ap…
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
Yi Bin, Haoxuan Li, Yahui Xu +3
Most existing cross-modal retrieval methods employ two-stream encoders with different architectures for images and texts, \textit{e.g.}, CNN for images and RNN/Transformer for text…
Faster Video Moment Retrieval with Point-Level Supervision
Xun Jiang, Zailei Zhou, Xing Xu +3
Video Moment Retrieval (VMR) aims at retrieving the most relevant events from an untrimmed video with natural language queries. Existing VMR methods suffer from two defects: (1) ma…
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies
Yixuan Zhou, Peiyu Yang, Yi Qu +3
Semi-supervised anomaly detection (SSAD) methods have demonstrated their effectiveness in enhancing unsupervised anomaly detection (UAD) by leveraging few-shot but instructive abno…
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
Jiwei Wei, Yang Yang, Zeyu Ma +3
Zero-Shot Learning has been a highlighted research topic in both vision and language areas. Recently, most existing methods adopt structured knowledge information to model explicit…
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…
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…
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…
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…
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…
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…
Binary Generative Adversarial Networks for Image Retrieval
Jingkuan Song
The most striking successes in image retrieval using deep hashing have mostly involved discriminative models, which require labels. In this paper, we use binary generative adversar…
Deep Region Hashing for Efficient Large-scale Instance Search from Images
Jingkuan Song, Tao He, Lianli Gao +2
Instance Search (INS) is a fundamental problem for many applications, while it is more challenging comparing to traditional image search since the relevancy is defined at the insta…
Bidirectional Long-Short Term Memory for Video Description
Yi Bin, Yang Yang, Zi Huang +3
Video captioning has been attracting broad research attention in multimedia community. However, most existing approaches either ignore temporal information among video frames or ju…