218 citations · 680 across the 31 of their papers we have counts for
31 papers
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
Cheng Chen, Yifan Zhao, Jia Li
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings when compared to training with…
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao, Tong Zhang, Jia Li +1
Few-shot learning aims to recognize novel queries with limited support samples by learning from base knowledge. Recent progress in this setting assumes that the base knowledge and…
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff
Jia Li, Shengye Qiao, Zhirui Zhao +3
Existing salient object detection methods often adopt deeper and wider networks for better performance, resulting in heavy computational burden and slow inference speed. This inspi…
Parsing Objects at a Finer Granularity: A Survey
Yifan Zhao, Jia Li, Yonghong Tian
Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical attention due to its importance in ma…
Part-guided Relational Transformers for Fine-grained Visual Recognition
Yifan Zhao, Jia Li, Xiaowu Chen +1
Fine-grained visual recognition is to classify objects with visually similar appearances into subcategories, which has made great progress with the development of deep CNNs. Howeve…
View-aware Salient Object Detection for 360° Omnidirectional Image
Junjie Wu, Changqun Xia, Tianshu Yu +1
Image-based salient object detection (ISOD) in 360° scenarios is significant for understanding and applying panoramic information. However, research on 360° ISOD has not been widel…
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
Chenxi Xie, Changqun Xia, Mingcan Ma +3
Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution in…
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…
Graph Autoencoders with Deconvolutional Networks
Jia Li, Tomas Yu, Da-Cheng Juan +3
Recent studies have indicated that Graph Convolutional Networks (GCNs) act as a \emph{low pass} filter in spectral domain and encode smoothed node representations. In this paper, w…
Intrinsic Relationship Reasoning for Small Object Detection
Kui Fu, Jia Li, Lin Ma +2
The small objects in images and videos are usually not independent individuals. Instead, they more or less present some semantic and spatial layout relationships with each other. M…
SEKD: Self-Evolving Keypoint Detection and Description
Yafei Song, Ling Cai, Jia Li +2
Researchers have attempted utilizing deep neural network (DNN) to learn novel local features from images inspired by its recent successes on a variety of vision tasks. However, exi…
Single Image Dehazing Using Ranking Convolutional Neural Network
Yafei Song, Jia Li, Xiaogang Wang +1
Single image dehazing, which aims to recover the clear image solely from an input hazy or foggy image, is a challenging ill-posed problem. Analysing existing approaches, the common…
Zooming into Face Forensics: A Pixel-level Analysis
Jia Li, Tong Shen, Wei Zhang +3
The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society. It is urgent to have…
Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
Jia Li, Jinming Su, Changqun Xia +2
By the aid of attention mechanisms to weight the image features adaptively, recent advanced deep learning-based models encourage the predicted results to approximate the ground-tru…
Distortion-adaptive Salient Object Detection in 360 Omnidirectional Images
Jia Li, Jinming Su, Changqun Xia +1
Image-based salient object detection (SOD) has been extensively explored in the past decades. However, SOD on 360 omnidirectional images is less studied owing to the lack o…
Image Quality Assessment for Omnidirectional Cross-reference Stitching
Kaiwen Yu, Jia Li, Yu Zhang +2
Along with the development of virtual reality (VR), omnidirectional images play an important role in producing multimedia content with immersive experience. However, despite variou…
Harmonic Unpaired Image-to-image Translation
Rui Zhang, Tomas Pfister, Jia Li
The recent direction of unpaired image-to-image translation is on one hand very exciting as it alleviates the big burden in obtaining label-intensive pixel-to-pixel supervision, bu…