Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks19 from public data
- NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results85
This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.
- NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results30
This paper thoroughly evaluates the state-of-the-art advancements in LLIE, showcasing the significant progress.
- MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices29
This work is the first to achieve real-time IE inference at up to 1,100 frames per second (FPS) while delivering competitive image quality, achieving the best trade-off between speed and performance across multiple IE tasks.
- 21
- 16
- 16
- 6
- 5
- PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively Aggregated Spatio-Temporal Alignment4
PASTA, a novel Progressively Aggregated Spatio-Temporal Alignment framework for HDR deghosting achieves effectiveness and efficiency by harnessing hierarchical representation during feature distanglement and substantially boosts computational speed and optimizes the HDR imaging workflow.
- 1
- Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs1
This paper employs high-order tensors, with each mode corresponding to a task index, to naturally represent tasks referenced by multiple indices and preserve their structural relations in MTL, and proposes a general framework of low-rank MTL methods with tensorized support vector machines (SVMs) and least square support vector Machines (LSSVMs).
- 1
- –
- –
- –
- Inverse-Free Fast Natural Gradient Descent Method for Deep Learning–
It is revealed that natural gradient descent (NGD) is essentially a weighted sum of per-sample gradients that exhibits similarities to the average sum in first-order methods, leading to the computational complexity of FNGD being comparable to that of first-order methods.
- –
- –
- –
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 2026-10-15. 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.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.