48 citations · 111 across the 9 of their papers we have counts for
9 papers
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu, Yukun Cao, Cheng Jin +5
Segmentation of infected areas in chest CT volumes is of great significance for further diagnosis and treatment of COVID-19 patients. Due to the complex shapes and varied appearanc…
Graph-Based Social Relation Reasoning
Wanhua Li, Yueqi Duan, Jiwen Lu +2
Human beings are fundamentally sociable -- that we generally organize our social lives in terms of relations with other people. Understanding social relations from an image has gre…
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation
Xiaobin Wei, Jianjiang Feng, Jie Zhou
We propose a semantics-driven unsupervised learning approach for monocular depth and ego-motion estimation from videos in this paper. Recent unsupervised learning methods employ ph…
Latent Fingerprint Registration via Matching Densely Sampled Points
Shan Gu, Jianjiang Feng, Jiwen Lu +1
Latent fingerprint matching is a very important but unsolved problem. As a key step of fingerprint matching, fingerprint registration has a great impact on the recognition performa…
Graph-based Kinship Reasoning Network
Wanhua Li, Yingqiang Zhang, Kangchen Lv +3
In this paper, we propose a graph-based kinship reasoning (GKR) network for kinship verification, which aims to effectively perform relational reasoning on the extracted features o…
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network
Zhe Cui, Jianjiang Feng, Jie Zhou
Dense registration of fingerprints is a challenging task due to elastic skin distortion, low image quality, and self-similarity of ridge pattern. To overcome the limitation of hand…
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
Wanhua Li, Jiwen Lu, Jianjiang Feng +3
Age estimation is an important yet very challenging problem in computer vision. Existing methods for age estimation usually apply a divide-and-conquer strategy to deal with heterog…
CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation
Zhanwei Xu, Ziyi Wu, Jianjiang Feng
In this paper, we propose a novel heart segmentation pipeline Combining Faster R-CNN and U-net Network (CFUN). Due to Faster R-CNN's precise localization ability and U-net's powerf…
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
Ziyan Wang, Jiwen Lu, Ruogu Lin +2
In this paper, we propose a new correlated and individual multi-modal deep learning (CIMDL) method for RGB-D object recognition. Unlike most conventional RGB-D object recognition m…