12 citations · 29 across the 8 of their papers we have counts for
8 papers
Hyneter: Hybrid Network Transformer for Object Detection
Dong Chen, Duoqian Miao, Xuerong Zhao
In this paper, we point out that the essential differences between CNN-based and Transformer-based detectors, which cause the worse performance of small objects in Transformer-base…
Learning Domain Invariant Prompt for Vision-Language Models
Cairong Zhao, Yubin Wang, Xinyang Jiang +4
Prompt learning is one of the most effective and trending ways to adapt powerful vision-language foundation models like CLIP to downstream datasets by tuning learnable prompt vecto…
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang +6
While person Re-identification (Re-ID) has progressed rapidly due to its wide real-world applications, it also causes severe risks of leaking personal information from training dat…
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
Wenli Sun, Xinyang Jiang, Shuguang Dou +4
In recent years, person Re-identification (ReID) has rapidly progressed with wide real-world applications, but also poses significant risks of adversarial attacks. In this paper, w…
Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression
Dong Chen, Duoqian Miao
Numerous improvements for feedback mechanisms have contributed to the great progress in object detection. In this paper, we first present an evaluation-feedback module, which is pr…
Sequential End-to-end Network for Efficient Person Search
Zhengjia Li, Duoqian Miao
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID). Existing works have designed end-to-end networks based on Faster R-CNN. However, due to…
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels
Can Gao, Jie Zhoua, Duoqian Miao +2
Attribute reduction is one of the most important research topics in the theory of rough sets, and many rough sets-based attribute reduction methods have thus been presented. Howeve…
Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification
Yuebing Zhang, Duoqian Miao, Jiaqi Wang
Cross-domain sentiment classification (CDSC) is an importance task in domain adaptation and sentiment classification. Due to the domain discrepancy, a sentiment classifier trained…