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06/01/2023
Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning
With the rise in popularity of video-based social media, new categories ...
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03/18/2023
Crowd Counting with Online Knowledge Learning
Efficient crowd counting models are urgently required for the applicatio...
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02/19/2023
Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example
Adversarial machine learning (AML) studies the adversarial phenomenon of...
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12/29/2022
A Unified Object Counting Network with Object Occupation Prior
The counting task, which plays a fundamental rule in numerous applicatio...
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03/16/2022
PointAttN: You Only Need Attention for Point Cloud Completion
Point cloud completion referring to completing 3D shapes from partial 3D...
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10/11/2021
Adaptively Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation
In practical application, 3D Human Pose Estimation (HPE) is facing with ...
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12/18/2020
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction
Hyperspectral compressive imaging takes advantage of compressive sensing...
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07/07/2020
Meta-Learning with Network Pruning
Meta-learning is a powerful paradigm for few-shot learning. Although wit...
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05/25/2020
Hyperspectral Image Classification with Attention Aided CNNs
Convolutional neural networks (CNNs) have been widely used for hyperspec...
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03/13/2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Co-saliency detection aims to discover the common and salient foreground...
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03/13/2020
Dual Temporal Memory Network for Efficient Video Object Segmentation
Video Object Segmentation (VOS) is typically formulated in a semi-superv...
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02/04/2020
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
In this paper, we propose an efficient and effective framework to fuse h...
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01/02/2020
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
Due to a variety of motions across different frames, it is highly challe...
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11/29/2019
Deep Object Co-segmentation via Spatial-Semantic Network Modulation
Object co-segmentation is to segment the shared objects in multiple rele...
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02/28/2019
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
By considering the spectral signature as a sequence, recurrent neural ne...
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05/07/2018
Matrix Completion with Nonuniform Sampling: Theories and Methods
Prevalent matrix completion theories reply on an assumption that the loc...
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03/30/2018
Fast and Robust Subspace Clustering Using Random Projections
Over the past several decades, subspace clustering has been receiving in...
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03/23/2017
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
This paper proposes a novel deep learning framework named bidirectional-...
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03/01/2017
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
Iterative Hard Thresholding (IHT) is a class of projected gradient desce...
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12/24/2016
Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning
Video object segmentation is challenging due to the factors like rapidly...
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11/11/2016
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification
In this paper, we propose a multi-scale deep feature learning method for...
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11/11/2016
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification
Convolutional neural networks (CNNs) have attracted increasing attention...
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10/30/2016
Visual Tracking via Boolean Map Representations
In this paper, we present a simple yet effective Boolean map based repre...
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03/03/2016
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification
Graph model is emerging as a very effective tool for learning the comple...
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04/21/2015
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection
Recently, the compressive tracking (CT) method has attracted much attent...
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01/19/2015