9 citations · 10 across the 5 of their papers we have counts for
6 papers
RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidance
Chunyuan Chen, Yunuo Cai, Shujuan Li +3
Camouflaged image generation (CIG) has recently emerged as an efficient alternative for acquiring high-quality training data for camouflaged object detection (COD). However, existi…
Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
Ji Du, Xin Wang, Fangwei Hao +6
At the core of Camouflaged Object Detection (COD) lies segmenting objects from their highly similar surroundings. Previous efforts navigate this challenge primarily through image-l…
Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution
Fangwei Hao, Ji Du, Desheng Kong +3
In recent years, the performance of lightweight Single-Image Super-Resolution (SISR) has been improved significantly with the application of Convolutional Neural Networks (CNNs) an…
Towards Context-aware Convolutional Network for Image Restoration
Fangwei Hao, Ji Du, Weiyun Liang +2
Image restoration (IR) is a long-standing task to recover a high-quality image from its corrupted observation. Recently, transformer-based algorithms and some attention-based convo…
Dilated Strip Attention Network for Image Restoration
Fangwei Hao, Jiesheng Wu, Ji Du +2
Image restoration is a long-standing task that seeks to recover the latent sharp image from its deteriorated counterpart. Due to the robust capacity of self-attention to capture lo…
Large coordinate kernel attention network for lightweight image super-resolution
Fangwei Hao, Jiesheng Wu, Haotian Lu +3
The multi-scale receptive field and large kernel attention (LKA) module have been shown to significantly improve performance in the lightweight image super-resolution task. However…