no code implementations • ECCV 2020 • Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro
In this paper, we propose a novel symptom-aware cybersickness assessment network (SACA Net) that quantifies physical symptom levels for assessing cybersickness of individual viewers.
1 code implementation • 29 Mar 2024 • Jaehoon Ko, Kyusun Cho, Joungbin Lee, Heeji Yoon, Sangmin Lee, Sangjun Ahn, Seungryong Kim
Given the personalized 3D generative model, we present a novel audio-guided attention U-Net architecture that predicts the dynamic face variations in the NeRF space driven by audio.
1 code implementation • 26 Mar 2024 • DongJin Kim, Sung Jin Um, Sangmin Lee, Jung Uk Kim
In this paper, to overcome this limitation, we present a novel multi-sound source localization method that can perform localization without prior knowledge of the number of sound sources.
no code implementations • 4 Mar 2024 • Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg
Furthermore, we propose a novel multimodal baseline that leverages densely aligned language-visual representations by synchronizing visual features with their corresponding utterances.
no code implementations • 4 Feb 2024 • Sangmin Lee, Abbas Mammadov, Jong Chul Ye
Current theoretical and empirical research in neural networks suggests that complex datasets require large network architectures for thorough classification, yet the precise nature of this relationship remains unclear.
no code implementations • 19 Nov 2023 • Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee
Scaling laws have allowed Pre-trained Language Models (PLMs) into the field of causal reasoning.
1 code implementation • 7 Nov 2023 • Joonghoon Kim, Saeran Park, Kiyoon Jeong, Sangmin Lee, Seung Hun Han, Jiyoon Lee, Pilsung Kang
With advanced Large Language Models (LLMs) such as GPT-4, evaluating the quality of Natural Language Generation (NLG) has become increasingly paramount.
no code implementations • 7 Sep 2023 • Jeongsoo Park, Dong-Gyun Han, Hyoung Sul La, Sangmin Lee, Yoonchang Han, Eun-Jin Yang
The F1 score achieved by our model exceeded 84. 3%, demonstrating the effectiveness of our approach in analyzing underwater acoustic data.
no code implementations • 10 Jul 2023 • SiHun Lee, Sangmin Lee, Kijoo Jang, Haeseong Cho, SangJoon Shin
The present network, which is the least-squares hierarchical variational autoencoder (LSH-VAE), is capable of performing nonlinear MOR for the parametric interpolation of a nonlinear dynamic system with a significant number of degrees of freedom.
no code implementations • 25 May 2023 • Sangmin Lee, Jong Chul Ye
This is then extended to a simplicial complex, deriving width upper bounds based on its topological structure.
1 code implementation • CVPR 2023 • Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
Neural networks are often biased to spuriously correlated features that provide misleading statistical evidence that does not generalize.
Ranked #2 on Facial Attribute Classification on bFFHQ
no code implementations • 11 Oct 2022 • Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee
Specifically, we first pretrain a biased encoder in a self-supervised manner with the rank regularization, serving as a semantic bottleneck to enforce the encoder to learn the spuriously correlated attributes.
no code implementations • 27 Sep 2022 • Sangmin Lee, Byeongsu Sim, Jong Chul Ye
To understand learning the dynamics of deep ReLU networks, we investigate the dynamic system of gradient flow $w(t)$ by decomposing it to magnitude $w(t)$ and angle $\phi(t):= \pi - \theta(t) $ components.
no code implementations • 11 Feb 2022 • Sangmin Lee, Byeongsu Sim, Jong Chul Ye
Understanding implicit bias of gradient descent for generalization capability of ReLU networks has been an important research topic in machine learning research.
no code implementations • CVPR 2022 • Sangmin Lee, Hyung-Il Kim, Yong Man Ro
Existing sound and image representation learning methods necessarily require a large number of sound and image with corresponding pairs.
no code implementations • 14 Apr 2021 • Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro
To make better understanding of VR sickness, it is required to predict and provide the level of major symptoms of VR sickness rather than overall degree of VR sickness.
no code implementations • 14 Apr 2021 • Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro
For a human expert, the depth adjustment procedure is a sequence of iterative decision making.
1 code implementation • CVPR 2021 • Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro
Our work addresses long-term motion context issues for predicting future frames.
Ranked #1 on Video Prediction on KTH (Cond metric)
1 code implementation • 25 Oct 2020 • Seongbin Kim, Gyuwan Kim, Seongjin Shin, Sangmin Lee
End-to-end approaches open a new way for more accurate and efficient spoken language understanding (SLU) systems by alleviating the drawbacks of traditional pipeline systems.
Ranked #3 on Spoken Language Understanding on Fluent Speech Commands (using extra training data)
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 1 Oct 2020 • Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, K. N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae
In this work, we collect visualization maps from multiple layers of the model based on an attribution-based input sampling technique and aggregate them to reach a fine-grained and complete explanation.
no code implementations • 16 Jul 2020 • Joanna Hong, Jung Uk Kim, Sangmin Lee, Yong Man Ro
Recent advances in facial expression synthesis have shown promising results using diverse expression representations including facial action units.
no code implementations • 15 Jul 2020 • Sangmoon Yoon, Kyoungsuk Jin, Sangmin Lee, Ki Tae Nam, MiYoung Kim, Young-Kyun Kwon
We investigated the effects of paramagnetic (PM) fluctuations on the thermochemistry of the MnO(100) surface in the oxygen evolution reaction (OER) using the "noncollinear magnetic sampling method \textit{plus} $U$" (NCMSM$+U$).
Materials Science Mesoscale and Nanoscale Physics
no code implementations • 23 Apr 2018 • Sangmin Lee, Hak Gu Kim, Yong Man Ro
In this paper, we propose a novel abnormal event detection method with spatio-temporal adversarial networks (STAN).
Ranked #17 on Anomaly Detection on ShanghaiTech
no code implementations • 10 Dec 2017 • Wissam J. Baddar, Geonmo Gu, Sangmin Lee, Yong Man Ro
The spatial constructs of a generated video sequence are acquired from the target image.