[논문리뷰세미나] Calibrating Multimodal Learning (ICML 2023)
이성규_Calibrating-Multimodal-Learning(ICML2023)20260205
이성규_Calibrating-Multimodal-Learning(ICML2023)20260205
이성규_Incomplete Multimodality-Diffused Emotion Recognition_NeurIPS2023_20260403
Chapter 4. Hearing, Auditory Models, and Speech Perception -4.1 Introduction -4.2 The speech chain -4.3 Anatomy and function of the ear -4.4 The perception of sound 220428_신입생세미나_이성규_Ch4_1_ Hearing, Auditory Models, and Speech Perception 220428_신입생세미나_이성규_Ch4_1_ Hearing, Auditory Models, and Speech Perception
[pdf] 220407_신입생세미나_이성규_Ch3_1 Fundamentals of Human Speech Production [ppt] 220407_신입생세미나_이성규_Ch3_1 Fundamentals of Human Speech Production
220407_신입생세미나_이성규_Ch3_1 Fundamentals of Human Speech Production 220527_신입생세미나_이성규_Ch7_1_Frequency Domain Represenations
[논문리뷰세미나] Balanced Multimodal Learning via On-the-fly Gradient Modulation [ppt] [발표자료.`23.01.13]이성규_Balanced Multimodal Learning via On-the-fly Gradient Modulation
FlowSE: Flow Matching-based Speech Enhancement (ICASSP 2025) [pdf] FlowSE_ICASSP25_Seonggyu_Lee_Share
Speech Enhancement based on cascaded two flows Information It is published at INTERSPEECH 2025 (poster) Authors information Seonggyu Lee, Sein Cheong, Sangwook Han, Kihyuk Kim and Jong Won Shin (Speech and Audio Processing Lab, Gwangju Institute of Science and Technology, Korea) [Video (ENG)], [Video (KOR)] [paper link] [paper download] (preprint) [github code] [First author’s google … Read more
[논문리뷰세미나] Evidential Deep Learning to Quantify Classification Uncertainty [pdf] 이성규_Evidential Deep Learning to Quantify Classification Uncertainty.pdf [ppt] 이성규_Evidential Deep Learning to Quantify Classification Uncertainty.pptx
[논문리뷰세미나] Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions [ppt] 세미나자료(공유용)_2023_10_05_이성규_Computational Doob h-transforms for Online Filtering of Discretely Observed.pdf [pdf] 세미나자료(공유용)_2023_10_05_이성규_Computational Doob h-transforms for Online Filtering of Discretely Observed.pptx