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- Fuqing DuanSuggested from co-authorship
- Guanghui WangSuggested from co-authorship
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Works23 from public data
- Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architectures103
This study constructed the Northeast Tiger and Leopard National Park wildlife dataset for the first time and compared the real-world application performance of three currently mainstream object detection models to provide a reference on the applicability of the AI technique in wild real-life scenarios.
- Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation59
This paper proposes a simple yet effective method to learn the sub-pixel disparity distribution by fully utilizing the power of deep networks, especially for LF of narrow baselines and designs an uncertainty-aware focal loss to supervise the predicted disparity distribution toward the ground truth.
- NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results52
The first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradation with a magnification factor of 4, develops a new LF dataset called NTIRE-2023 for validation and test, and provides a toolbox called BasicLFSR to facilitate model development.
- NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results43
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results, and gauge the state of the art of video quality enhancement.
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- OccCasNet: Occlusion-Aware Cascade Cost Volume for Light Field Depth Estimation27
This work proposes an occlusion-aware cascade cost volume for LF depth (disparity) estimation and introduces occlusion maps to enhance accuracy in constructing the occlusion-aware cost volume, allowing the refined disparity estimation network to yield a more precise disparity map.
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- Light field depth estimation using occlusion-aware consistency analysis6
This paper designs two novel consistency costs based on the photo-consistency for depth estimation and proposes an Occlusion detection technique based on depth consistency, which can detect the occlusion points more accurately.
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- MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution3
Extensive experiments demonstrate the efficacy of MaskBlur in significantly enhancing the performance of existing SR methods and it is extended to other LF image tasks such as denoising, deblurring, low-light enhancement, and real-world SR.
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- MatTrans: Material Reflectance Property Estimation of Complex Objects with Transformer1
A method called MatTrans to estimate geometry and material reflectance properties with Transformer to estimate geometry and material reflectance properties of any 3D object surface from a single image is proposed.
- Robust Light Field Depth Estimation over Occluded and Specular Regions1
A voting method to select the un-occluded pixels in the angular sampling image to obtain the initial depth of the occluded point and an optimization energy function to obtain the depth of the specular region are proposed.
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- Face-sketch learning with human sketch-drawing order enforcement1
This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of computer programming called “supervised learning”.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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