activity
20162026
most citedShakeDrop Regularization for Deep Residual Learning

188 citations · 250 across the 15 of their papers we have counts for

collaborators

16 papers

cs.CV2026

Towards a Joint Khmer Text Recognition and Word Segmentation

Marry Kong, Rina Buoy, Sovisal Chenda +3

Text recognition, or extracting electronic text from document images, has been indispensable for knowledge retrieval tasks, such as retrieval-augmented generation (RAG). For Khmer,…

cs.LG2026

CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records

Shaonan Liu, Yuichiro Iwashita, Soichiro Nakako +2

Electronic health records (EHRs) are invaluable for clinical research, yet privacy concerns severely restrict data sharing. Synthetic data generation offers a promising solution, b…

cs.CV2026

Towards Khmer Scene Document Layout Detection

Marry Kong, Rina Buoy, Sovisal Chenda +3

While document layout analysis for Latin scripts has advanced significantly, driven by the advent of large multimodal models (LMMs), progress for the Khmer language remains constra…

cs.CV2026

Towards Universal Khmer Text Recognition

Marry Kong, Rina Buoy, Sovisal Chenda +3

Khmer is a low-resource language characterized by a complex script, presenting significant challenges for optical character recognition (OCR). While document printed text recogniti…

cs.CV2026

CBEN -- A Multimodal Machine Learning Dataset for Cloud Robust Remote Sensing Image Understanding

Marco Stricker, Masakazu Iwamura, Koichi Kise

Clouds are a common phenomenon that distorts optical satellite imagery, which poses a challenge for remote sensing. However, in the literature cloudless analysis is often performed…

cs.HC2020

Self-supervised Deep Learning for Reading Activity Classification

Md. Rabiul Islam, Shuji Sakamoto, Yoshihiro Yamada +4

Reading analysis can give important information about a user's confidence and habits and can be used to construct feedback to improve a user's reading behavior. A lack of labeled d…