no code implementations • 26 Apr 2024 • Libang Chen, Yikun Liu, Jianying Zhou
Imaging through fog significantly impacts fields such as object detection and recognition.
no code implementations • 23 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.
no code implementations • 17 Mar 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.
no code implementations • 8 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.
1 code implementation • 12 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.
Ranked #1 on Zero-Shot Composed Image Retrieval (ZS-CIR) on CIRR
1 code implementation • 28 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.
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
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