52 citations · 200 across the 11 of their papers we have counts for
14 papers
Decoupled Mixup for Generalized Visual Recognition
Haozhe Liu, Wentian Zhang, Jinheng Xie +7
Convolutional neural networks (CNN) have demonstrated remarkable performance when the training and testing data are from the same distribution. However, such trained CNN models oft…
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation
Ziqi Zhang, Yuxin Chen, Zongyang Ma +5
Previous works of video captioning aim to objectively describe the video's actual content, which lacks subjective and attractive expression, limiting its practical application scen…
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
Bingyan Liu, Yifeng Cai, Ziqi Zhang +5
Federated learning (FL) has emerged as an effective solution to decentralized and privacy-preserving machine learning for mobile clients. While traditional FL has demonstrated its…
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan +3
Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature aggregatio…
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection
Yuanchun Li, Ziqi Zhang, Bingyan Liu +2
The knowledge of a deep learning model may be transferred to a student model, leading to intellectual property infringement or vulnerability propagation. Detecting such knowledge r…
Open-book Video Captioning with Retrieve-Copy-Generate Network
Ziqi Zhang, Zhongang Qi, Chunfeng Yuan +4
Due to the rapid emergence of short videos and the requirement for content understanding and creation, the video captioning task has received increasing attention in recent years.…