1 citations · 1 across the 4 of their papers we have counts for
5 papers
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning
Shengbo Gu, Yu-Kun Qiu, Yu-Ming Tang +2
The generation of a virtual digital avatar is a crucial research topic in the field of computer vision. Many existing works utilize Neural Radiance Fields (NeRF) to address this is…
PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement
Delong Zhang, Yi-Xing Peng, Xiao-Ming Wu +2
Online person re-identification services face privacy breaches from potential data leakage and recovery attacks, exposing cloud-stored images to malicious attackers and triggering…
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo, Yipeng Gao, Shenghao Fu +3
In incremental object detection, knowledge distillation has been proven to be an effective way to alleviate catastrophic forgetting. However, previous works focused on preserving t…
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
Junkai Yan, Yipeng Gao, Qize Yang +4
Text-to-3D generation, which synthesizes 3D assets according to an overall text description, has significantly progressed. However, a challenge arises when the specific appearances…
A Versatile Framework for Multi-scene Person Re-identification
Wei-Shi Zheng, Junkai Yan, Yi-Xing Peng
Person Re-identification (ReID) has been extensively developed for a decade in order to learn the association of images of the same person across non-overlapping camera views. To o…