218 citations · 680 across the 31 of their papers we have counts for
8 papers · 1 filter
Receptive Field Broadening and Boosting for Salient Object Detection
Mingcan Ma, Changqun Xia, Chenxi Xie +2
Salient object detection requires a comprehensive and scalable receptive field to locate the visually significant objects in the image. Recently, the emergence of visual transforme…
Transformer-based Dual Relation Graph for Multi-label Image Recognition
Jiawei Zhao, Ke Yan, Yifan Zhao +3
The simultaneous recognition of multiple objects in one image remains a challenging task, spanning multiple events in the recognition field such as various object scales, inconsist…
Universal Face Restoration With Memorized Modulation
Jia Li, Huaibo Huang, Xiaofei Jia +1
Blind face restoration (BFR) is a challenging problem because of the uncertainty of the degradation patterns. This paper proposes a Restoration with Memorized Modulation (RMM) fram…
Heterogeneous Relational Complement for Vehicle Re-identification
Jiajian Zhao, Yifan Zhao, Jia Li +2
The crucial problem in vehicle re-identification is to find the same vehicle identity when reviewing this object from cross-view cameras, which sets a higher demand for learning vi…
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
Zhongxing Ma, Yifan Zhao, Jia Li
Person Re-Identification (Re-Id) in occlusion scenarios is a challenging problem because a pedestrian can be partially occluded. The use of local information for feature extraction…
RGB-D Salient Object Detection with Ubiquitous Target Awareness
Yifan Zhao, Jiawei Zhao, Jia Li +1
Conventional RGB-D salient object detection methods aim to leverage depth as complementary information to find the salient regions in both modalities. However, the salient object d…
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Guangyao Chen, Peixi Peng, Li Ma +3
Recently, the generalization behavior of Convolutional Neural Networks (CNN) is gradually transparent through explanation techniques with the frequency components decomposition. Ho…
Exploring Driving-aware Salient Object Detection via Knowledge Transfer
Jinming Su, Changqun Xia, Jia Li
Recently, general salient object detection (SOD) has made great progress with the rapid development of deep neural networks. However, task-aware SOD has hardly been studied due to…