activity
20132023
most citedAre Anchor Points Really Indispensable in Label-Noise Learning?

188 citations · 469 across the 37 of their papers we have counts for

collaborators

37 papers

cs.CV2023

Diff-Privacy: Diffusion-based Face Privacy Protection

Xiao He, Mingrui Zhu, Dongxin Chen +2

Privacy protection has become a top priority as the proliferation of AI techniques has led to widespread collection and misuse of personal data. Anonymization and visual identity i…

cs.CV2023

Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation

Fei Gao, Yifan Zhu, Chang Jiang +1

Facial sketch synthesis (FSS) aims to generate a vivid sketch portrait from a given facial photo. Existing FSS methods merely rely on 2D representations of facial semantic or appea…

cs.CV2023★ 1 cited

MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection

Ruiyang Xia, Decheng Liu, Jie Li +3

Advanced manipulation techniques have provided criminals with opportunities to make social panic or gain illicit profits through the generation of deceptive media, such as forged f…

cs.CV2023

Semantic-aware Generation of Multi-view Portrait Drawings

Biao Ma, Fei Gao, Chang Jiang +2

Neural radiance fields (NeRF) based methods have shown amazing performance in synthesizing 3D-consistent photographic images, but fail to generate multi-view portrait drawings. The…

cs.CV2023★ 2 cited

Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement

De Cheng, Xiaojian Huang, Nannan Wang +3

Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims at learning modality-invariant features from unlabeled cross-modality dataset, which is crucial f…

cs.CV2023★ 3 cited

Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID

De Cheng, Lingfeng He, Nannan Wang +3

Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to match pedestrian images of the same identity from different modalities without annotations. Existing wo…