Search Results for author: Yuntao Qian

Found 15 papers, 3 papers with code

A Survey on Deep Learning-based Spatio-temporal Action Detection

no code implementations3 Aug 2023 Peng Wang, Fanwei Zeng, Yuntao Qian

Spatio-temporal action detection (STAD) aims to classify the actions present in a video and localize them in space and time.

Action Detection Autonomous Driving

Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification

no code implementations22 Nov 2022 Peng Wang, Jingzhou Chen, Yuntao Qian

Hierarchical classification (HC) assigns each object with multiple labels organized into a hierarchical structure.

Image Classification Word Embeddings

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

1 code implementation CVPR 2022 Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian

Hierarchical multi-granularity classification (HMC) assigns hierarchical multi-granularity labels to each object and focuses on encoding the label hierarchy, e. g., ["Albatross", "Laysan Albatross"] from coarse-to-fine levels.

Fine-Grained Image Classification Relation

Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition

no code implementations22 Nov 2021 Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang

Finally, in the Information Fuser, we explore varied strategies to combine the Sequence Reconstructor and Contrastive Motion Learner, and propose to capture postures and motions simultaneously via a knowledge-distillation based fusion strategy that transfers the motion learning from the Contrastive Motion Learner to the Sequence Reconstructor.

Action Recognition Contrastive Learning +4

RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining

1 code implementation1 Nov 2021 Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang

Therefore, neighbor aggregation-based representation learning (NARL) models are proposed, which encode the information in the neighbors of an entity into its embeddings.

Graph Representation Learning Knowledge Graph Completion

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting

1 code implementation27 Aug 2021 Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang

The model constructs a city graph and a city group graph to model the spatial and latent dependencies between cities, respectively.

graph construction

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

no code implementations3 Dec 2020 Fengchao Xiong, Shuyin Tao, Jun Zhou, Jianfeng Lu, Jiantao Zhou, Yuntao Qian

This model first projects the observed HSIs into a low-dimensional orthogonal subspace, and then represents the projected image with a multidimensional dictionary.

Hyperspectral Image Denoising Image Denoising

A Deep Optimization Approach for Image Deconvolution

no code implementations16 Apr 2019 Zhijian Luo, Siyu Chen, Yuntao Qian

In blind image deconvolution, priors are often leveraged to constrain the solution space, so as to alleviate the under-determinacy.

Image Deconvolution

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation

no code implementations16 Apr 2019 Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian

Secondly, in order to utilize the local spatial correlation among pixels, we share the previous subnetwork as a spectral feature extractor for each pixel in a patch of image, after which the spectral features of all pixels in a patch are combined and feeded into the subsequent classification subnetwork.

Classification General Classification +1

Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms

no code implementations11 Dec 2018 Fengchao Xiong, Jun Zhou, Yuntao Qian

Traditional color images only depict color intensities in red, green and blue channels, often making object trackers fail in challenging scenarios, e. g., background clutter and rapid changes of target appearance.

Object Object Tracking

Spectral Image Visualization Using Generative Adversarial Networks

no code implementations7 Feb 2018 Siyu Chen, Danping Liao, Yuntao Qian

The adversarial loss pushes our solution to the natural image distribution using a discriminator network that is trained to differentiate between false-color images and natural-color images.

Generative Adversarial Network

Visualization of Hyperspectral Images Using Moving Least Squares

no code implementations20 Jan 2018 Danping Liao, Siyu Chen, Yuntao Qian

The matching pixels between a pair of HSI and RGB image can be reused to display other HSIs captured b the same imaging sensor with natural colors.

Constrained Manifold Learning for Hyperspectral Imagery Visualization

no code implementations24 Nov 2017 Danping Liao, Yuntao Qian, Yuan Yan Tang

A composite kernel is applied in manifold learning to incorporate both the spatial and spectral information of HSI in the embedded space.

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