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Works117 from public data
- 199
- Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes154
This paper creates motions for controllable objects, such as toys, and captures each static moment for multiple times to generate clean video frames, resulting in the first dynamic video dataset with noisy-clean pairs.
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- rPPG-MAE: Self-Supervised Pretraining With Masked Autoencoders for Remote Physiological Measurements98
A linear self-supervised reconstruction task was designed for extracting the inherent self-similar priors in physiological signals and a specific noise-insensitive strategy was explored for reducing the interference of motion and illumination.
- Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imaging94
It is shown that VsLFM achieves ultrafast 3D imaging of diverse processes such as the beating heart in embryonic zebrafish, voltage activity in Drosophila brains and neutrophil migration in the mouse liver at up to 500 volumes per second.
- Learning-based denoising for polarimetric images80
The proposed learning-based method is based on the residual dense network and can significantly suppress the noise in polarimetric images and well reconstruct the details flooded in strong noise.
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- A Simple Yet Effective Network Based on Vision Transformer for Camouflaged Object and Salient Object Detection72
A simple yet effective network (SENet) based on vision Transformer, employing a simple design of an asymmetric ViT-based encoder-decoder structure that yield competitive results on both tasks, exhibiting greater versatility than meticulously crafted ones is proposed.
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- 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.
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- Textured Image Demoiréing via Signal Decomposition and Guided Filtering46
A novel textured image demoiréing method by signal decomposition and guided filtering that outperforms the state-of-the-art methods for both synthetic and real images.
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- TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities40
Extensive experimental results on the BraTS 2018 and 2020 datasets demonstrate the superiority and efficacy of TMFormer compared to state-of-the-art methods when dealing with missing modalities.
- EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning39
A novel MLLM is proposed, named EMO-LLaMA, which incorporates facial priors from a pretrained facial analysis network to enhance its understanding of human facial information and design a Face Info Mining module to extract both global and local facial information.
- NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results37
This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images to establish a new and powerful benchmark for the task of removing raindrops under varying lighting and focus conditions.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. 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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