15 citations · 42 across the 8 of their papers we have counts for
8 papers
Long-term Visual Localization with Mobile Sensors
Shen Yan, Yu Liu, Long Wang +6
Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging probl…
Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior
Shen Yan, Xiaoya Cheng, Yuxiang Liu +4
Despite the significant progress in 6-DoF visual localization, researchers are mostly driven by ground-level benchmarks. Compared with aerial oblique photography, ground-level map…
Image Retrieval for Structure-from-Motion via Graph Convolutional Network
Shen Yan, Yang Pen, Shiming Lai +2
Conventional image retrieval techniques for Structure-from-Motion (SfM) suffer from the limit of effectively recognizing repetitive patterns and cannot guarantee to create just eno…
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
Shunjie Dong, Jinlong Zhao, Maojun Zhang +5
Automatic segmentation of cardiac magnetic resonance imaging (MRI) facilitates efficient and accurate volume measurement in clinical applications. However, due to anisotropic resol…
Deep Motion Boundary Detection
Xiaoqing Yin, Xiyang Dai, Xinchao Wang +3
Motion boundary detection is a crucial yet challenging problem. Prior methods focus on analyzing the gradients and distributions of optical flow fields, or use hand-crafted feature…
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification
Xiaoqing Yin, Xinchao Wang, Jun Yu +3
Images captured by fisheye lenses violate the pinhole camera assumption and suffer from distortions. Rectification of fisheye images is therefore a crucial preprocessing step for m…
Transferable Semi-supervised Semantic Segmentation
Huaxin Xiao, Yunchao Wei, Yu Liu +2
The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only prov…
Self-explanatory Deep Salient Object Detection
Huaxin Xiao, Jiashi Feng, Yunchao Wei +1
Salient object detection has seen remarkable progress driven by deep learning techniques. However, most of deep learning based salient object detection methods are black-box in nat…