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01/06/2023
Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering
Unsupervised hashing methods have attracted widespread attention with th...
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06/20/2020
Unsupervised Vehicle Re-identification with Progressive Adaptation
Vehicle re-identification (reID) aims at identifying vehicles across dif...
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03/16/2020
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification
With the development of smart cities, urban surveillance video analysis ...
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01/12/2020
Attribute-guided Feature Learning Network for Vehicle Re-identification
Vehicle re-identification (reID) plays an important role in the automati...
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12/21/2019
Eliminating cross-camera bias for vehicle re-identification
Vehicle re-identification (reID) often requires recognize a target vehic...
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12/11/2019
Graph-based Multi-view Binary Learning for Image Clustering
Hashing techniques, also known as binary code learning, have recently ga...
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11/23/2019
Kernelized Multiview Subspace Analysis by Self-weighted Learning
With the popularity of multimedia technology, information is always repr...
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07/12/2019
Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images
Severe color casts, low contrast and blurriness of underwater images cau...
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04/30/2019
Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification
The widespread popularization of vehicles has facilitated all people's l...
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04/01/2019
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction
With the development of information technology, we have witnessed an age...
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03/19/2019
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification
Vehicle re-identification (reID) is to identify a target vehicle in diff...
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03/19/2019
Mask-guided Style Transfer Network for Purifying Real Images
Recently, the progress of learning-by-synthesis has proposed a training ...
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03/19/2019
Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations
With the development of multimedia time, one sample can always be descri...
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03/14/2019
Purifying Naturalistic Images through a Real-time Style Transfer Semantics Network
Recently, the progress of learning-by-synthesis has proposed a training ...
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01/10/2019
Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval
In the past decades, feature-learning-based 3D shape retrieval approache...
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01/05/2019
Auto-weighted Mutli-view Sparse Reconstructive Embedding
With the development of multimedia era, multi-view data is generated in ...
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10/08/2018