2.4k citations · 2.5k across the 7 of their papers we have counts for
9 papers
DC-Net: Divide-and-Conquer for Salient Object Detection
Jiayi Zhu, Xuebin Qin, Abdulmotaleb Elsaddik
In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map. We…
High-resolution Iterative Feedback Network for Camouflaged Object Detection
Xiaobin Hu, Shuo Wang, Xuebin Qin +5
Spotting camouflaged objects that are visually assimilated into the background is tricky for both object detection algorithms and humans who are usually confused or cheated by the…
Highly Accurate Dichotomous Image Segmentation
Xuebin Qin, Hang Dai, Xiaobin Hu +3
We present a systematic study on a new task called dichotomous image segmentation (DIS) , which aims to segment highly accurate objects from natural images. To this end, we collect…
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels
Roberto Vega, Pouneh Gorji, Zichen Zhang +5
Deep learning approaches often require huge datasets to achieve good generalization. This complicates its use in tasks like image-based medical diagnosis, where the small training…
Boundary-Aware Segmentation Network for Mobile and Web Applications
Xuebin Qin, Deng-Ping Fan, Chenyang Huang +6
Although deep models have greatly improved the accuracy and robustness of image segmentation, obtaining segmentation results with highly accurate boundaries and fine structures is…
U-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin, Zichen Zhang, Chenyang Huang +3
In this paper, we design a simple yet powerful deep network architecture, U-Net, for salient object detection (SOD). The architecture of our U-Net is a two-level nested U-s…
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation
Chenyang Huang, Amine Trabelsi, Xuebin Qin +2
Emotion detection in text is an important task in NLP and is essential in many applications. Most of the existing methods treat this task as a problem of single-label multi-class t…
Incremental 3D Line Segment Extraction from Semi-dense SLAM
Shida He, Xuebin Qin, Zichen Zhang +1
Although semi-dense Simultaneous Localization and Mapping (SLAM) has been becoming more popular over the last few years, there is a lack of efficient methods for representing and p…
Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping
Xuebin Qin, Shida He, Camilo Perez Quintero +3
This paper presents a novel real-time method for tracking salient closed boundaries from video image sequences. This method operates on a set of straight line segments that are pro…