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06/21/2023
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Spiking Neural Networks (SNNs) have garnered widespread interest for the...
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06/15/2022
Zero-shot object goal visual navigation
Object goal visual navigation is a challenging task that aims to guide a...
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04/21/2022
Weakly Aligned Feature Fusion for Multimodal Object Detection
To achieve accurate and robust object detection in the real-world scenar...
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03/01/2021
A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds
Rapid, accurate and robust detection of looming objects in cluttered mov...
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03/01/2021
A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds
Robust and accurate detection of small moving targets in cluttered movin...
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02/28/2021
A Minimax Probability Machine for Non-Decomposable Performance Measures
Imbalanced classification tasks are widespread in many real-world applic...
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02/27/2021
Learning with Smooth Hinge Losses
Due to the non-smoothness of the Hinge loss in SVM, it is difficult to o...
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10/09/2020
Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system
Remote tiny face detection applied in unmanned system is a challeng-ing ...
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02/09/2020
FSD-10: A Dataset for Competitive Sports Content Analysis
Action recognition is an important and challenging problem in video anal...
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09/16/2019
Hierarchic Neighbors Embedding
Manifold learning now plays a very important role in machine learning an...
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04/10/2019
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
In this paper, we present an overview of robotic peg-in-hole assembly an...
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11/08/2018
Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition
Human emotion recognition is an important direction in the field of biom...
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10/25/2018
Perceptual Visual Interactive Learning
Supervised learning methods are widely used in machine learning. However...
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03/23/2017
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Traditional image clustering methods take a two-step approach, feature l...
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02/02/2017
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network
Visual saliency detection aims at identifying the most visually distinct...
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11/21/2016
Effective Deterministic Initialization for k-Means-Like Methods via Local Density Peaks Searching
The k-means clustering algorithm is popular but has the following main d...
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09/24/2016
Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval
Incompatibility of image descriptor and ranking is always neglected in i...
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09/19/2016
Poisson Noise Reduction with Higher-order Natural Image Prior Model
Poisson denoising is an essential issue for various imaging applications...
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03/25/2016
A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity
Integration between biology and information science benefits both fields...
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11/04/2014
A Weighted Common Subgraph Matching Algorithm
We propose a weighted common subgraph (WCS) matching algorithm to find t...
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04/21/2014
A higher-order MRF based variational model for multiplicative noise reduction
The Fields of Experts (FoE) image prior model, a filter-based higher-ord...
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08/29/2013
GNCGCP - Graduated NonConvexity and Graduated Concavity Procedure
In this paper we propose the Graduated NonConvexity and Graduated Concav...
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02/10/2010
Intrinsic dimension estimation of data by principal component analysis
Estimating intrinsic dimensionality of data is a classic problem in patt...
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01/15/2010
An Explicit Nonlinear Mapping for Manifold Learning
Manifold learning is a hot research topic in the field of computer scien...
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12/03/2009
