9.8k citations
- Chinese Academy of SciencesCN824 papers
- University of Chinese Academy of SciencesCN760 papers
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- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT681 papers
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- University of OxfordGB588 papers
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- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT544 papers
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11 papers · 2 filters
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo +2
We present O-CNN, an Octree-based Convolutional Neural Network (CNN) for 3D shape analysis. Built upon the octree representation of 3D shapes, our method takes the average normal v…
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Xiang Long, Chuang Gan, Gerard de Melo +3
Recently, substantial research effort has focused on how to apply CNNs or RNNs to better extract temporal patterns from videos, so as to improve the accuracy of video classificatio…
Depth Assisted Full Resolution Network for Single Image-based View Synthesis
Xiaodong Cun, Feng Xu, Chi-Man Pun +1
Researches in novel viewpoint synthesis majorly focus on interpolation from multi-view input images. In this paper, we focus on a more challenging and ill-posed problem that is to…
Progressive Representation Adaptation for Weakly Supervised Object Localization
Dong Li, Jia-Bin Huang, Yali Li +2
We address the problem of weakly supervised object localization where only image-level annotations are available for training object detectors. Numerous methods have been proposed…
An In-field Automatic Wheat Disease Diagnosis System
Jiang Lu, Jie Hu, Guannan Zhao +2
Crop diseases are responsible for the major production reduction and economic losses in agricultural industry world- wide. Monitoring for health status of crops is critical to cont…
Learning to Segment Instances in Videos with Spatial Propagation Network
Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai +6
We propose a deep learning-based framework for instance-level object segmentation. Our method mainly consists of three steps. First, We train a generic model based on ResNet-101 fo…