2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation
Ziqiang Li, Chaoyue Wang, Xue Rui +3
Few-shot image generation aims to train generative models using a small number of training images. When there are few images available for training (e.g. 10 images), Learning From…
cs.CV2023★ 2 cited
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
Lin Yuan, Kai Liang, Xiao Pu +5
This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single…
cs.CV2023★ 2 cited
Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection
Feng Gao, Jiaxu Leng, Gan Ji +1
DEtection TRansformer (DETR) and its variants (DETRs) achieved impressive performance in general object detection. However, in crowded pedestrian detection, the performance of DETR…