61 citations · 198 across the 25 of their papers we have counts for
9 papers · 1 filter
Attentive Mask CLIP
Yifan Yang, Weiquan Huang, Yixuan Wei +8
Image token removal is an efficient augmentation strategy for reducing the cost of computing image features. However, this efficient augmentation strategy has been found to adverse…
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…
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Jun Xiao, Xinyang Jiang, Ningxin Zheng +5
Deep learning-based models have achieved remarkable performance in video super-resolution (VSR) in recent years, but most of these models are less applicable to online video applic…
Towards Privacy-Preserving Person Re-identification via Person Identify Shift
Shuguang Dou, Xinyang Jiang, Qingsong Zhao +2
Recently privacy concerns of person re-identification (ReID) raise more and more attention and preserving the privacy of the pedestrian images used by ReID methods become essential…
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan +2
Vector graphics (VG) have been ubiquitous in our daily life with vast applications in engineering, architecture, designs, etc. The VG recognition process of most existing methods i…
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Yuge Zhang, Quanlu Zhang +4
Despite the impressive progress of general face detection, the tuning of hyper-parameters and architectures is still critical for the performance of a domain-specific face detector…
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li, Kan Ren, Xinyang Jiang +3
Fine-tuning pretrained models is a common practice in domain generalization (DG) tasks. However, fine-tuning is usually computationally expensive due to the ever-growing size of pr…