Search Results for author: Sangmin Lee

Found 23 papers, 5 papers with code

SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding

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.

Relation

Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge

1 code implementation26 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.

Object

Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations

no code implementations4 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.

coreference-resolution

Defining Neural Network Architecture through Polytope Structures of Dataset

no code implementations4 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.

Which is better? Exploring Prompting Strategy For LLM-based Metrics

1 code implementation7 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.

Text Generation

Cross-domain Sound Recognition for Efficient Underwater Data Analysis

no code implementations7 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.

Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder

no code implementations10 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.

Data Topology-Dependent Upper Bounds of Neural Network Widths

no code implementations25 May 2023 Sangmin Lee, Jong Chul Ye

This is then extended to a simplicial complex, deriving width upper bounds based on its topological structure.

Training Debiased Subnetworks with Contrastive Weight Pruning

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.

Facial Attribute Classification

Self-supervised debiasing using low rank regularization

no code implementations11 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.

Self-Supervised Learning

Magnitude and Angle Dynamics in Training Single ReLU Neurons

no code implementations27 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.

Support Vectors and Gradient Dynamics of Single-Neuron ReLU Networks

no code implementations11 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.

Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory

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.

Representation Learning

Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents

no code implementations14 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.

Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding

1 code implementation25 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

Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation

no code implementations1 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.

Explainable Artificial Intelligence (XAI)

Comprehensive Facial Expression Synthesis using Human-Interpretable Language

no code implementations16 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.

Effects of paramagnetic fluctuations on the thermochemistry of MnO (100) surfaces in the oxygen evolution reaction

no code implementations15 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

STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection

no code implementations23 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).

Anomaly Detection Event Detection

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