153 citations · 240 across the 17 of their papers we have counts for
18 papers
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
Siyue Yu, Jimin Xiao, Bingfeng Zhang +1
Co-salient object detection, with the target of detecting co-existed salient objects among a group of images, is gaining popularity. Recent works use the attention mechanism or ext…
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Yao Zhao
We focus on tackling weakly supervised semantic segmentation with scribble-level annotation. The regularized loss has been proven to be an effective solution for this task. However…
Fast Pixel-Matching for Video Object Segmentation
Siyue Yu, Jimin Xiao, BingFeng Zhang +1
Video object segmentation, aiming to segment the foreground objects given the annotation of the first frame, has been attracting increasing attentions. Many state-of-the-art approa…
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Jianbo Jiao +2
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmenta…
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding
Mingjie Sun, Jimin Xiao, Eng Gee Lim +2
In this paper, we are tackling the weakly-supervised referring expression grounding task, for the localization of a referent object in an image according to a query sentence, where…
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang, Jimin Xiao, Terry Qin
Few-shot segmentation has been attracting a lot of attention due to its effectiveness to segment unseen object classes with a few annotated samples. Most existing approaches use ma…
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
Mingjie Sun, Jimin Xiao, Eng Gee Lim
In this paper, we are tackling the proposal-free referring expression grounding task, aiming at localizing the target object according to a query sentence, without relying on off-t…
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
Siyue Yu, Bingfeng Zhang, Jimin Xiao +1
Sparse labels have been attracting much attention in recent years. However, the performance gap between weakly supervised and fully supervised salient object detection methods is h…
Robust Generative Adversarial Network
Shufei Zhang, Zhuang Qian, Kaizhu Huang +2
Generative adversarial networks (GANs) are powerful generative models, but usually suffer from instability and generalization problem which may lead to poor generations. Most exist…
Fast Template Matching and Update for Video Object Tracking and Segmentation
Mingjie Sun, Jimin Xiao, Eng Gee Lim +2
In this paper, the main task we aim to tackle is the multi-instance semi-supervised video object segmentation across a sequence of frames where only the first-frame box-level groun…
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Bingfeng Zhang, Jimin Xiao, Yunchao Wei +2
Weakly supervised semantic segmentation is a challenging task as it only takes image-level information as supervision for training but produces pixel-level predictions for testing.…
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
Mingjie Sun, Jimin Xiao, Eng Gee Lim +2
In this paper, we aim to tackle the task of semi-supervised video object segmentation across a sequence of frames where only the ground-truth segmentation of the first frame is pro…
Segmentation Mask Guided End-to-End Person Search
Dingyuan Zheng, Jimin Xiao, Kaizhu Huang +1
Person search aims to search for a target person among multiple images recorded by multiple surveillance cameras, which faces various challenges from both pedestrian detection and…
Single Image based Head Pose Estimation with Spherical Parameterization and 3D Morphing
Hui Yuan, Mengyu Li, Junhui Hou +1
Head pose estimation plays a vital role in various applications, e.g., driverassistance systems, human-computer interaction, virtual reality technology, and so on. We propose a nov…
Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Zhuang Qian, Kaizhu Huang, Qiufeng Wang +2
Generative Adversarial Networks (GAN) receive great attentions recently due to its excellent performance in image generation, transformation, and super-resolution. However, GAN has…
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Yanchun Xie, Jimin Xiao, Kaizhu Huang +2
Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and spee…
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label
Chao Zhang, Ce Zhu, Jimin Xiao +2
Image ordinal classification refers to predicting a discrete target value which carries ordering correlation among image categories. The limited size of labeled ordinal data render…
IAN: The Individual Aggregation Network for Person Search
Jimin Xiao, Yanchun Xie, Tammam Tillo +3
Person search in real-world scenarios is a new challenging computer version task with many meaningful applications. The challenge of this task mainly comes from: (1) unavailable bo…