Search Results - "Han, Junwei"

A survey on object detection in optical remote sensing images by Cheng, Gong, Han, Junwei

“…Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an…”
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A Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection by Liu, Nian, Han, Junwei

“…Traditional saliency models usually adopt hand-crafted image features and human-designed mechanisms to calculate local or global contrast. In this paper, we…”
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Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images by Cheng, Gong, Zhou, Peicheng, Han, Junwei

“…Object detection in very high resolution optical remote sensing images is a fundamental problem faced for remote sensing image analysis. Due to the advances of…”
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Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework by Zhang, Dingwen, Meng, Deyu, Han, Junwei

“…As an interesting and emerging topic, co-saliency detection aims at simultaneously extracting common salient objects from a group of images. On one hand,…”
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Object detection in optical remote sensing images: A survey and a new benchmark by Li, Ke, Wan, Gang, Cheng, Gong, Meng, Liqiu, Han, Junwei

“…Substantial efforts have been devoted more recently to presenting various methods for object detection in optical remote sensing images. However, the current…”
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DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection by Nian Liu, Junwei Han

“…Traditional salient object detection models often use hand-crafted features to formulate contrast and various prior knowledge, and then combine them…”
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Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection by Cheng, Gong, Han, Junwei, Zhou, Peicheng, Xu, Dong

“…The performance of object detection has recently been significantly improved due to the powerful features learnt through convolutional neural networks (CNNs)…”
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Robust Object Co-Segmentation Using Background Prior by Han, Junwei, Quan, Rong, Zhang, Dingwen, Nie, Feiping

“…Given a set of images that contain objects from a common category, object co-segmentation aims at automatically discovering and segmenting such common objects…”
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Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering by Yao, Xiwen, Han, Junwei, Zhang, Dingwen, Nie, Feiping

“…With the goal of discovering the common and salient objects from the given image group, co-saliency detection has received tremendous research interest in…”
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Multi-class geospatial object detection and geographic image classification based on collection of part detectors by Cheng, Gong, Han, Junwei, Zhou, Peicheng, Guo, Lei

“…The rapid development of remote sensing technology has facilitated us the acquisition of remote sensing images with higher and higher spatial resolution, but…”
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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs by Cheng, Gong, Yang, Ceyuan, Yao, Xiwen, Guo, Lei, Han, Junwei

“…Remote sensing image scene classification is an active and challenging task driven by many applications. More recently, with the advances of deep learning…”
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Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning by Han, Junwei, Zhang, Dingwen, Cheng, Gong, Guo, Lei, Ren, Jinchang

“…The abundant spatial and contextual information provided by the advanced remote sensing technology has facilitated subsequent automatic interpretation of the…”
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Duplex Metric Learning for Image Set Classification by Cheng, Gong, Zhou, Peicheng, Han, Junwei

“…Image set classification has attracted much attention because of its broad applications. Despite the success made so far, the problems of intra-class diversity…”
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CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion by Han, Junwei, Chen, Hao, Liu, Nian, Yan, Chenggang, Li, Xuelong

“…Salient object detection from RGB-D images aims to utilize both the depth view and RGB view to automatically localize objects of human interest in the scene…”
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Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining by Zhang, Dingwen, Han, Junwei, Han, Jungong, Shao, Ling

“…As an interesting and emerging topic, cosaliency detection aims at simultaneously extracting common salient objects in multiple related images. It differs from…”
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PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection by Liu, Nian, Han, Junwei, Yang, Ming-Hsuan

“…Contexts play an important role in the saliency detection task. However, given a context region, not all contextual information is helpful for the final task…”
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PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection by Liu, Nian, Han, Junwei, Yang, Ming-Hsuan

“…Existing saliency models typically incorporate contexts holistically. However, for each pixel, usually only part of its context region contributes to saliency…”
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Learning Selective Self-Mutual Attention for RGB-D Saliency Detection by Liu, Nian, Zhang, Ni, Han, Junwei

“…Saliency detection on RGB-D images is receiving more and more research interests recently. Previous models adopt the early fusion or the result fusion scheme…”
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Re-Weighted Discriminatively Embedded K -Means for Multi-View Clustering by Xu, Jinglin, Han, Junwei, Nie, Feiping, Li, Xuelong

“…Recent years, more and more multi-view data are widely used in many real-world applications. This kind of data (such as image data) is high dimensional and…”
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Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification by Cheng, Gong, Li, Zhenpeng, Han, Junwei, Yao, Xiwen, Guo, Lei

“…Hyperspectral image (HSI) classification is an active and important research task driven by many practical applications. To leverage deep learning models…”
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