90 citations · 256 across the 21 of their papers we have counts for
9 papers · 1 filter
Simultaneously Learning Architectures and Features of Deep Neural Networks
Tinghuai Wang, Lixin Fan, Huiling Wang
This paper presents a novel method which simultaneously learns the number of filters and network features repeatedly over multiple epochs. We propose a novel pruning loss to explic…
Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement
Xiaoshui Huang, Lixin Fan, Qiang Wu +2
Many types of 3D acquisition sensors have emerged in recent years and point cloud has been widely used in many areas. Accurate and fast registration of cross-source 3D point clouds…
Object Detection in Equirectangular Panorama
Wenyan Yang, Yanlin Qian, Francesco Cricri +2
We introduced a high-resolution equirectangular panorama (360-degree, virtual reality) dataset for object detection and propose a multi-projection variant of YOLO detector. The mai…
Depth Masked Discriminative Correlation Filter
Uğur Kart, Joni-Kristian Kämäräinen, Jiří Matas +2
Depth information provides a strong cue for occlusion detection and handling, but has been largely omitted in generic object tracking until recently due to lack of suitable benchma…
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels
Caglar Aytekin, Xingyang Ni, Francesco Cricri +2
Computer vision algorithms with pixel-wise labeling tasks, such as semantic segmentation and salient object detection, have gone through a significant accuracy increase with the in…
Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning
Lixin Fan
This paper gives a rigorous analysis of trained Generalized Hamming Networks(GHN) proposed by Fan (2017) and discloses an interesting finding about GHNs, i.e., stacked convolution…
Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data
Xuefeng Liang, Lixin Fan, Yuen Peng Loh +2
In psychology, theory-driven researches are usually conducted with extensive laboratory experiments, yet rarely tested or disproved with big data. In this paper, we make use of 418…
A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds
Xiaoshui Huang, Jian Zhang, Qiang Wu +2
With the development of numerous 3D sensing technologies, object registration on cross-source point cloud has aroused researchers' interests. When the point clouds are captured fro…
A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures
Xiaoshui Huang, Jian Zhang, Lixin Fan +2
We propose a systematic approach for registering cross-source point clouds. The compelling need for cross-source point cloud registration is motivated by the rapid development of a…