32 citations · 65 across the 5 of their papers we have counts for
6 papers
Single-stage joint diffusion of sky images and clear-sky index for ultra-short-term irradiance forecasting: what the frame-to-irradiance stage discards
Kanawut Suwandee, Suwichaya Suwanwimolkul
Sky-image irradiance forecasting is dominated by a two-stage design: a video-prediction model forecasts future sky frames, and a separately trained regressor maps those frames to i…
Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models
Suwichaya Suwanwimolkul, Natanon Tongamrak, Nuttamon Thungka +2
This paper presents an online platform showing Thailand solar irradiance map every 30 minutes, available at https://www.cusolarforecast.com. The methodology for estimating global h…
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul +2
Recent advancements in deep convolutional neural networks have significantly improved the performance of saliency prediction. However, the manual configuration of the neural networ…
Explainable Knowledge Distillation for On-device Chest X-Ray Classification
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul +2
Automated multi-label chest X-rays (CXR) image classification has achieved substantial progress in clinical diagnosis via utilizing sophisticated deep learning approaches. However,…
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Suwichaya Suwanwimolkul, Satoshi Komorita
Recently Transformers have provided state-of-the-art performance in sparse matching, crucial to realize high-performance 3D vision applications. Yet, these Transformers lack effici…
An Adaptive Markov Random Field for Structured Compressive Sensing
Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong +4
Exploiting intrinsic structures in sparse signals underpins the recent progress in compressive sensing (CS). The key for exploiting such structures is to achieve two desirable prop…