322 citations · 490 across the 10 of their papers we have counts for
10 papers
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Bo Dong, Jialun Pei, Rongrong Gao +3
Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization…
Diffusion Model for Camouflaged Object Detection
Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang +1
Camouflaged object detection is a challenging task that aims to identify objects that are highly similar to their background. Due to the powerful noise-to-image denoising capabilit…
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang +5
We study the task of weakly-supervised point cloud semantic segmentation with sparse annotations (e.g., less than 0.1% points are labeled), aiming to reduce the expensive cost of d…
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Zhou Huang, Hang Dai, Tian-Zhu Xiang +4
Vision transformers have recently shown strong global context modeling capabilities in camouflaged object detection. However, they suffer from two major limitations: less effective…
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection
Peng Zheng, Jie Qin, Shuo Wang +2
Co-Salient Object Detection (CoSOD) aims at detecting common salient objects within a group of relevant source images. Most of the latest works employ the attention mechanism for f…
Trichomonas Vaginalis Segmentation in Microscope Images
Lin Li, Jingyi Liu, Shuo Wang +2
Trichomoniasis is a common infectious disease with high incidence caused by the parasite Trichomonas vaginalis, increasing the risk of getting HIV in humans if left untreated. Auto…
Boundary-Guided Camouflaged Object Detection
Yujia Sun, Shuo Wang, Chenglizhao Chen +1
Camouflaged object detection (COD), segmenting objects that are elegantly blended into their surroundings, is a valuable yet challenging task. Existing deep-learning methods often…
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang +2
The recently proposed camouflaged object detection (COD) attempts to segment objects that are visually blended into their surroundings, which is extremely complex and difficult in…
Image Stitching by Line-guided Local Warping with Global Similarity Constraint
Tian-Zhu Xiang, Gui-Song Xia, Xiang Bai +1
Low-textured image stitching remains a challenging problem. It is difficult to achieve good alignment and it is easy to break image structures due to insufficient and unreliable po…
Image stitching with perspective-preserving warping
Tianzhu Xiang, Gui-Song Xia, Liangpei Zhang
Image stitching algorithms often adopt the global transformation, such as homography, and work well for planar scenes or parallax free camera motions. However, these conditions are…