115 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Seoul National UniversityKR11 papers
- Korea Advanced Institute of Science and TechnologyKR6 papers
- Yonsei UniversityKR6 papers
- Sogang UniversityKR5 papers
- University of CambridgeGB4 papers
- Konkuk UniversityKR3 papers
- Korea UniversityKR3 papers
- LG (United States)US3 papers
- University of Hong KongHK3 papers
- Korea Maritime and Ocean UniversityKR2 papers
- LG AI Research (South Korea)KR2 papers
- Nanjing UniversityCN2 papers
51 papers
Spanning Tree Autoregressive Visual Generation
Sangkyu Lee, Changho Lee, Janghoon Han +6
We present Spanning Tree Autoregressive (STAR) modeling, which can incorporate prior knowledge of images, such as center bias and locality, to maintain sampling performance while a…
THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics
Hoyoung Lee, Wonbin Ahn, Suhwan Park +6
Thematic investing, which aims to construct portfolios aligned with structural trends, remains a challenging endeavor due to overlapping sector boundaries and evolving market dynam…
Optimal Qubit Mapping Search for Encoding Classical Data into Matrix Product State Representation with Minimal Loss
Hyeongjun Jeon, Kyungmin Lee, Dongkyu Lee +2
Matrix product state (MPS) offers a framework for encoding classical data into quantum states, enabling the efficient utilization of quantum resources for data representation and p…
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
Sanglee Park, Seung-won Hwang, Jungmin So
Real-world data often follow a long-tailed distribution with a high imbalance in the number of samples between classes. The problem with training from imbalanced data is that some…
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
Hyungmin Kim, Donghun Kim, Pyunghwan Ahn +3
While deep neural networks have achieved remarkable performance, data augmentation has emerged as a crucial strategy to mitigate overfitting and enhance network performance. These…
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son, Soochan Lee, Gunhee Kim
Over the past decade, deep neural networks have demonstrated significant success using the training scheme that involves mini-batch stochastic gradient descent on extensive dataset…
MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
Nakyeong Yang, Minsung Kim, Seunghyun Yoon +2
With the explosion of multimedia content, video moment retrieval (VMR), which aims to detect a video moment that matches a given text query from a video, has been studied intensive…
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning
Junhyun Lee, Bumsoo Kim, Minji Jeon +1
Graph Neural Networks (GNNs) have proven to be effective in processing and learning from graph-structured data. However, previous works mainly focused on understanding single graph…
Channel Estimation for Reconfigurable Intelligent Surface with a few Active Elements
Gyoseung Lee, Hyeongtaek Lee, Jaeky Oh +2
In this paper, a channel estimation technique for reconfigurable intelligent surface (RIS)-aided multi-user multiple-input single-output communication systems is proposed. By deplo…
Electronic structure of biased alternating-twist multilayer graphene
Kyungjin Shin, Yunsu Jang, Jiseon Shin +2
We theoretically study the energy and optical absorption spectra of alternating twist multilayer graphene (ATMG) under a perpendicular electric field. We obtain analytically the lo…
Bayesian Channel Estimation for Intelligent Reflecting Surface-Aided mmWave Massive MIMO Systems With Semi-Passive Elements
In-soo Kim, Mehdi Bennis, Jaeky Oh +2
In this paper, we propose a Bayesian channel estimator for intelligent reflecting surface-aided (IRS-aided) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) s…
Core-shell enhanced single particle model for LiFePO batteries
Aki Takahashi, Gabriele Pozzato, Anirudh Allam +5
In this paper, a novel electrochemical model for LiFePO battery cells that accounts for the positive particle lithium intercalation and deintercalation dynamics is proposed. St…
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation
Ruiwen Li, Zheda Mai, Chiheb Trabelsi +3
Weakly supervised semantic segmentation (WSSS) with only image-level supervision is a challenging task. Most existing methods exploit Class Activation Maps (CAM) to generate pixel-…
Discovering Latent Representations of Relations for Interacting Systems
Dohae Lee, Young Jin Oh, In-Kwon Lee
Systems whose entities interact with each other are common. In many interacting systems, it is difficult to observe the relations between entities which is the key information for…
Hybrid Beamforming for Intelligent Reflecting Surface Aided Millimeter Wave MIMO Systems
Sung Hyuck Hong, Jaeyong Park, Sung-Jin Kim +1
As communication systems that employ millimeter wave (mmWave) frequency bands must use large antenna arrays to overcome the severe propagation loss of mmWave signals, hybrid beamfo…
Practical Channel Estimation and Phase Shift Design for Intelligent Reflecting Surface Empowered MIMO Systems
Sucheol Kim, Hyeongtaek Lee, Jihoon Cha +3
In this paper, channel estimation techniques and phase shift design for intelligent reflecting surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems…
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai, Ruiwen Li, Jihwan Jeong +3
Online continual learning for image classification studies the problem of learning to classify images from an online stream of data and tasks, where tasks may include new classes (…
V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions
Seung-Woo Ko, Hyukjin Chae, Kaifeng Han +3
Vehicle-to-Everything (V2X) will create many new opportunities in the area of wireless communications, while its feasibility on enabling vehicular positioning has not been explored…
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management
Young-min Song, Kwangjin Yoon, Young-Chul Yoon +2
In this paper, we propose an efficient online multi-object tracking framework based on the GMPHD filter and occlusion group management scheme where the GMPHD filter utilizes hierar…
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
Youngmoon Jung, Younggwan Kim, Hyungjun Lim +2
In this paper, we propose a new pooling method called spatial pyramid encoding (SPE) to generate speaker embeddings for text-independent speaker verification. We first partition th…
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays
Yong-Goo Shin, Seung Park, Yoon-Jae Yeo +2
Various power-constrained contrast enhancement (PCCE) techniques have been applied to an organic light emitting diode (OLED) display for reducing the power demands of the display w…
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System
JeongYeol Baek, Ioana Veronica Chelu, Livia Iordache +7
Modern driver assistance systems rely on a wide range of sensors (RADAR, LIDAR, ultrasound and cameras) for scene understanding and prediction. These sensors are typically used for…
Hidden Vehicle Sensing via Asynchronous V2V Transmission: A Multi-Path-Geometry Approach
Kaifeng Han, Seung-Woo Ko, Hyukjin Chae +2
Accurate vehicular sensing is a basic and important operation in autonomous driving. Unfortunately, the existing techniques have their own limitations. For instance, the communicat…
Deep Learning Based NLOS Identification with Commodity WLAN Devices
Jeong-Sik Choi, Woong-Hee Lee, Jae-Hyun Lee +2
Identifying line-of-sight (LOS) and non-LOS (NLOS) channel conditions can improve the performance of many wireless applications, such as signal strength-based localization algorith…