15 citations · 47 across the 14 of their papers we have counts for
6 papers · 1 filter
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu +2
Deep models have been widely and successfully used in image manipulation detection, which aims to classify tampered images and localize tampered regions. Most existing methods main…
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
Yujun Huang, Bin Chen, Shiyu Qin +4
Beyond achieving higher compression efficiency over classical image compression codecs, deep image compression is expected to be improved with additional side information, e.g., an…
VLMAE: Vision-Language Masked Autoencoder
Sunan He, Taian Guo, Tao Dai +4
Image and language modeling is of crucial importance for vision-language pre-training (VLP), which aims to learn multi-modal representations from large-scale paired image-text data…
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution
Hongwei Li, Tao Dai, Yiming Li +2
Image representation is critical for many visual tasks. Instead of representing images discretely with 2D arrays of pixels, a recent study, namely local implicit image function (LI…
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
Sunan He, Taian Guo, Tao Dai +3
Real-world recognition system often encounters the challenge of unseen labels. To identify such unseen labels, multi-label zero-shot learning (ML-ZSL) focuses on transferring knowl…
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
Qiang Li, Tao Dai, Shu-Tao Xia
Recently, deep learning methods have shown great success in 3D point cloud upsampling. Among these methods, many feature expansion units were proposed to complete point expansion a…