Search Results for author: Yikun Liu

Found 8 papers, 4 papers with code

Harnessing Optical Imaging Limit through Atmospheric Scattering Media

no code implementations23 Apr 2024 Libang Chen, Jun Yang, Lingye Chen, Yuyang Shui, Yikun Liu, Jianying Zhou

Recording and identifying faint objects through atmospheric scattering media by an optical system are fundamentally interesting and technologically important.

Audio-Visual Segmentation via Unlabeled Frame Exploitation

no code implementations CVPR 2024 Jinxiang Liu, Yikun Liu, Fei Zhang, Chen Ju, Ya zhang, Yanfeng Wang

NFs, temporally adjacent to the labeled frame, often contain rich motion information that assists in the accurate localization of sounding objects.

Diversity valid

A Deep-Learning Method Using Auto-encoder and Generative Adversarial Network for Anomaly Detection on Ancient Stone Stele Surfaces

no code implementations8 Aug 2023 Yikun Liu, Yuning Wang, Cheng Liu

Accurate detection of natural deterioration and man-made damage on the surfaces of ancient stele in the first instance is essential for their preventive conservation.

Anomaly Detection Generative Adversarial Network

Zero-shot Composed Text-Image Retrieval

1 code implementation12 Jun 2023 Yikun Liu, Jiangchao Yao, Ya zhang, Yanfeng Wang, Weidi Xie

In this paper, we consider the problem of composed image retrieval (CIR), it aims to train a model that can fuse multi-modal information, e. g., text and images, to accurately retrieve images that match the query, extending the user's expression ability.

Image Retrieval Retrieval +1

Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening

1 code implementation28 Apr 2023 Mingsong Li, Yikun Liu, Tao Xiao, Yuwen Huang, Gongping Yang

Moreover, we customize a Local-Global Transformer (LGT) to simultaneously model local and global dependencies, and further formulate an LGT-based prior module for image denoising.

Multispectral Image Super-resolution Pansharpening

Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification

1 code implementation IEEE Transactions on Geoscience and Remote Sensing 2023 Mingsong Li, Wei Li, Yikun Liu, Yuwen Huang, and Gongping Yang.

Subsequently, based on distance covariance descriptor, a dual channel distance covariance representation (DC-DCR) module is proposed for modeling unified spectral-spatial feature representations and exploring spectral-spatial relationships, especially linear and nonlinear interdependence in spectral domain.

 Ranked #1 on Hyperspectral Image Classification on Indian Pines (OA@5%perclass metric)

Hyperspectral image analysis Hyperspectral Image Classification +1

Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification

1 code implementation IEEE Transactions on Circuits and Systems for Video Technology 2022 Mingsong Li, Yikun Liu, Guangkuo Xue, Yuwen Huang, and Gongping Yang

Specifically, based on two similarity measures, we firstly design an adaptive weight addition based spectral vector self-similarity module (AWA-SVSS) in input space and a Euclidean distance based feature vector self-similarity module (ED-FVSS) in feature space to fully mine the central vector oriented spatial relationships.

 Ranked #1 on Hyperspectral Image Classification on Indian Pines (OA@10%perclass metric)

Hyperspectral image analysis Hyperspectral Image Classification +1

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