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Haonan Chen - IEEE Xplore Author Profile

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Subject to intricate lighting conditions and environmental nuances, including suspended particles, underwater images often grapple with color distortion, background blurriness, and limited resolution. To cope with these challenges and elevate the quality of underwater image reconstruction and restoration, we introduce a super-resolution reconstruction algorithm for underwater images, leveraging a ...Show More
This paper reviews the NTIRE 2024 challenge on image super-resolution (×4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of four, from low-resolution (LR) inputs using prior information. The LR images originate from bicubic downsampling degradation. The aim of the challenge is to ob...Show More
Modeling contextual information in a search session has drawn more and more attention when understanding complex user intents. Recent methods are all data-driven, i.e., they train different models on large-scale search log data to identify the relevance between search contexts and candidate documents. The common training paradigm is to pair the search context with different candidate documents and...Show More
We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations. Our dataset consists of around 4400 models covering 11 categories annotated with clothes features, boundary lines, and keypoints. ClothesNet can be used to facilitate a variety of computer vision and robot interaction tasks. Using our dataset, we establish benchmark tasks for clothes perception, i...Show More
Due to the limited spatial or temporal resolution, current satellite-based products from VIIRS (Visible Infrared Imaging Radiometer Suite), MODIS (Moderate Resolution Imaging Spectroradiometer), and GOES ABI (Geostationary Operational Environmental Satellite Advanced Baseline Imager) are often inadequate for real-time applications such as wildfire edge detection and wildfire suppression. The overa...Show More