343 citations · 425 across the 10 of their papers we have counts for
10 papers
Mitigating Query Selection Bias in Referring Video Object Segmentation
Dingwei Zhang, Dong Zhang, Jinhui Tang
Recently, query-based methods have achieved remarkable performance in Referring Video Object Segmentation (RVOS) by using textual static object queries to drive cross-modal alignme…
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
Yun Zhu, Dong Zhang, Yi Lin +2
Medical image segmentation demands the aggregation of global and local feature representations, posing a challenge for current methodologies in handling both long-range and short-r…
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
Dong Zhang, Kwang-Ting Cheng
Thanks to the recent achievements in task-driven image quality enhancement (IQE) models like ESTR, the image enhancement model and the visual recognition model can mutually enhance…
Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator
Chunyan Wang, Dong Zhang, Rui Yan
Weakly-supervised image segmentation (WSIS) is a critical task in computer vision that relies on image-level class labels. Multi-stage training procedures have been widely used in…
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
Yuchen Shen, Dong Zhang, Zhao Zhang +2
In recent years, instance segmentation has garnered significant attention across various applications. However, training a fully-supervised instance segmentation model requires cos…
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Chunyan Wang, Dong Zhang, Liyan Zhang +1
Thanks to the advantages of the friendly annotations and the satisfactory performance, Weakly-Supervised Semantic Segmentation (WSSS) approaches have been extensively studied. Rece…
Semantic Scene Completion with Cleaner Self
Fengyun Wang, Dong Zhang, Hanwang Zhang +2
Semantic Scene Completion (SSC) transforms an image of single-view depth and/or RGB 2D pixels into 3D voxels, each of whose semantic labels are predicted. SSC is a well-known ill-p…
Centralized Feature Pyramid for Object Detection
Yu Quan, Dong Zhang, Liyan Zhang +1
Visual feature pyramid has shown its superiority in both effectiveness and efficiency in a wide range of applications. However, the existing methods exorbitantly concentrate on the…
Learning to Reduce Information Bottleneck for Object Detection in Aerial Images
Yuchen Shen, Dong Zhang, Zhihao Song +2
Object detection in aerial images is a fundamental research topic in the geoscience and remote sensing domain. However, the advanced approaches on this topic mainly focus on design…
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang, Hanwang Zhang, Jinhui Tang +2
We present a causal inference framework to improve Weakly-Supervised Semantic Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by using only im…