39 citations · 44 across the 8 of their papers we have counts for
8 papers
NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results
Shuhong Liu, Chenyu Bao, Ziteng Cui +103
This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…
KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context
Nahyun Lee, Guijin Son, Hyunwoo Ko +4
Multimodal evaluation is strengthened when benchmarks reflect the languages, institutions, and disciplinary conventions that shape expert visual reasoning. We introduce KMMMU, a na…
BEAT2AASIST model with layer fusion for ESDD 2026 Challenge
Sanghyeok Chung, Eujin Kim, Donggun Kim +7
Recent advances in audio generation have increased the risk of realistic environmental sound manipulation, motivating the ESDD 2026 Challenge as the first large-scale benchmark for…
Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier
Yongjie Si, Yanxiong Li, Jiaxin Tan +2
In the task of Few-shot Class-incremental Audio Classification (FCAC), training samples of each base class are required to be abundant to train model. However, it is not easy to co…
Table2Image: Lightweight Tabular Learning with Generated Proxy Representations and Reliability Diagnostics
Seungeun Lee, Kihwan Lee, Subin Bae +5
Deep tabular models should ideally balance predictive performance, parameter efficiency, and robustness to imperfect learning signals---properties that are rarely considered jointl…
Experimental Study: Enhancing Voice Spoofing Detection Models with wav2vec 2.0
Taein Kang, Soyul Han, Sunmook Choi +5
Conventional spoofing detection systems have heavily relied on the use of handcrafted features derived from speech data. However, a notable shift has recently emerged towards the d…
CAU_KU team's submission to ADD 2022 Challenge task 1: Low-quality fake audio detection through frequency feature masking
Il-Youp Kwak, Sunmook Choi, Jonghoon Yang +2
This technical report describes Chung-Ang University and Korea University (CAU_KU) team's model participating in the Audio Deep Synthesis Detection (ADD) 2022 Challenge, track 1: L…
A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes
Il-Youp Kwak, Candace R. Moore, Edgar P. Spalding +1
Most statistical methods for QTL mapping focus on a single phenotype. However, multiple phenotypes are commonly measured, and recent technological advances have greatly simplified…