3.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN257 papers
- Beijing Academy of Quantum Information SciencesCN235 papers
- Peking UniversityCN220 papers
- University of Science and Technology of ChinaCN204 papers
- Tsinghua UniversityCN193 papers
- University of Chinese Academy of SciencesCN143 papers
- University of Hong KongHK135 papers
- Institute of PhysicsPL94 papers
- National University of SingaporeSG94 papers
- Peng Cheng LaboratoryCN94 papers
- Hong Kong University of Science and TechnologyHK93 papers
- Fudan UniversityCN90 papers
13 papers · 2 filters
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin +3
With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classif…
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
Hanyang Peng, Shiqi Yu
Four-variable-independent-regression localization losses, such as Smooth- Loss, are used by default in modern detectors. Nevertheless, this kind of loss is oversimplified s…
Detect Faces Efficiently: A Survey and Evaluations
Yuantao Feng, Shiqi Yu, Hanyang Peng +2
Face detection is to search all the possible regions for faces in images and locate the faces if there are any. Many applications including face recognition, facial expression reco…
Region Semantically Aligned Network for Zero-Shot Learning
Ziyang Wang, Yunhao Gou, Jingjing Li +2
Zero-shot learning (ZSL) aims to recognize unseen classes based on the knowledge of seen classes. Previous methods focused on learning direct embeddings from global features to the…
Saliency-Associated Object Tracking
Zikun Zhou, Wenjie Pei, Xin Li +3
Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is…
Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
Kaiwei Che, Chengwei Ye, Yibing Yao +4
Colonoscopy is a standard imaging tool for visualizing the entire gastrointestinal (GI) tract of patients to capture lesion areas. However, it takes the clinicians excessive time t…
Shallow Feature Matters for Weakly Supervised Object Localization
Jun Wei, Qin Wang, Zhen Li +3
Weakly supervised object localization (WSOL) aims to localize objects by only utilizing image-level labels. Class activation maps (CAMs) are the commonly used features to achieve W…
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
Yijin Huang, Li Lin, Pujin Cheng +2
Manually annotating medical images is extremely expensive, especially for large-scale datasets. Self-supervised contrastive learning has been explored to learn feature representati…
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
Yilin Wen, Xiangyu Li, Hao Pan +4
Scalable 6D pose estimation for rigid objects from RGB images aims at handling multiple objects and generalizing to novel objects. Building on a well-known auto-encoding framework…
A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition
Jianbang Liu, Yuqi Fang, Delong Zhu +3
Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention, since they can substitute human workers…
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Hongwei Li, Fei-Fei Xue, Krishna Chaitanya +5
Radiomic representations can quantify properties of regions of interest in medical image data. Classically, they account for pre-defined statistics of shape, texture, and other low…
Deep Triplet Hashing Network for Case-based Medical Image Retrieval
Jiansheng Fang, Huazhu Fu, Jiang Liu
Deep hashing methods have been shown to be the most efficient approximate nearest neighbor search techniques for large-scale image retrieval. However, existing deep hashing methods…
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
Jingkun Chen, Wenqi Li, Hongwei Li +1
Multi-modal medical image segmentation plays an essential role in clinical diagnosis. It remains challenging as the input modalities are often not well-aligned spatially. Existing…