64. TDiff-HSI: Tucker-guided diffusion for high-dimensional RGB-to-HSI image generation  

• Jaeik Bae, Yong-Gu Lee (GIST)
• Journal of Computational Design and Engineering (JCDE), 2026

63. A Causal Lens on Non-RGB Vision Sensor Understanding in Vision Language Models 

• Youngjoon Yu, Yong Man Ro (KAIST)
• IEEE Transactions on Image Processing (TIP), 2026

62. Causal Unsupervised Semantic Segmentation 

• Junho Kim, Byung Kwan Lee, Yong Man Ro (KAIST)
• Pattern Recognition (PR), 2026

61. Dual Preference Learning for Multi-Agent Reinforcement Learning

• Sehyeok Kang, Minu Kim,  Jihwan Oh, Se-Young Yun
• IEEE Access, 2025

60. A Mutual Information-Based Framework for Enhancing Graph Neural Networks on Heterophily

• Gahee Kim, Seongjin Choi, Seyoung Yun (KAIST)
• IEEE Access, 2025

59. SSMPD: Semi-Supervised Learning for Multispectral Pedestrian Detection

• Seungho Shin, Chan Lee, Gyeong-Moon Park, and Jung Uk Kim*  (KHU)
• IEEE Transactions on Multimedia (TMM), 2025

58. Understanding Adversarial Robustness of Deep Neural Networks via Decision Reliance

• Soyoun Won, Hyeon Bae Kim, Yong Hyun Ahn, Hong Joo Lee, Seong Tae Kim (KHU)
• Image and Vision Computing, 2025

57. Toward Scene-Aware Video-to-Spatial Audio Generation

• Jaeyeon Kim, Heeseung Yun, Gunhee Kim (SNU)
• International Journal of Computer Vision, 2025

56. Adaptive Multi-model Fusion Learning for Sparse-Reward Reinforcement Learning

• Giseung Park, Whiyoung Jung, Seungyul Han, Sungho Choi, Youngchul Sung (KAIST)
• Neurocomputing, 2025

55. Advancing Causal Intervention in Image Captioning With Causal Prompt

• Youngjoon Yu, Yeonju Kim, Yong Man Ro (KAIST)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025

54. MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection

• Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro (KAIST)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025

53. Modality Mixer Exploiting Complementary Information  for Multi-modal Action Recognition

• Sumin Lee, Sangmin Woo, Muhammad Adi Nugroho, Changick Kim (KAIST)
• Computer Vision and Image Understanding, 2025

52.  CLIP Meets Diffusion: A Synergistsic Approach to Anomaly Detection

• Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin (KAIST)
• Transactions on Machine Learning Research (TMLR), 2025

51.  StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment

• Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin (KAIST)
• International Joint Conference on Artificial Intelligence (IJCAI), 2025

50.  Sparsified State-Space Models are Efficient Highway Networks

• Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin (KAIST)
• Transactions on Machine Learning Research (TMLR), 2025

49. Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

• Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong (KAIST)
• Transactions on Machine Learning Research, 2024

48. Robust Airway Generation Labeling with Airway Segmentation for Reliable Airway Assessment

• Mincheol Song, Jung Uk Kim (KHU)
• IEEE Access, 2024

47. DeFTAN-II: Efficient Multichannel Speech Enahcement with Subgroup Processing

• Dongheon Lee, Jung-Woo Choi (KAIST)
• IEEE/ACM Transactions on Audio, Speech, Language Processing (TASLP), 2024

46. When Meta-Learning Meets Online and Continual Leanring: A Survey

• Suchan Lee, Gunhee Kim (Seoul National University)
• IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

45. The Identification of minor impact collisions in a long video for detecting property damages caused by fleeing vehicles using 3D convolutional neural network

• Inwoo Hwang, Yonggu Lee (KAIST)
• Journal of Computational Design and Engineering, 2024

44. A Two-step Controller for Vision-based Autonomous Landing of a Multirotor with a Gimbal Camera

• Sangbaek Yoo, Dongui Chang (KAIST)
• Drones, 2024

43. Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection

• Sung-june Park, Hyeonjun Kim (KAIST)
• IEEE Transactions on Circuit and Systems for Video Technology, 2024

42. The Identification of minor impact collisions in a long video for detecting property damages caused by fleeing vehicles using 3D convolutional neural network

• Inwoo Hwang, Yong-Gu Lee (KAIST)
• Journal of Computational Design and Engineering, 2024

41. Towards Understanding Dual BN in Hybrid Adversarial Training

• Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon (KAIST)
• IEEE Transactions on Machine Learning Research, 2024

40. Causal Localization Network for Radar Human Localization in micro-Doppler signature

• Sunjae Yoon, Gwanhyeong Koo, Jun Yeop Shim, Soohwan Eom, Ji Woo Hong, Chang Dong Yoo (KAIST)
• IEEE Access, 2024

39. Towards Understanding Dual BN In Hybrid Adversarial Training

• Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon (KAIST)
• IEEE Transactions on Machine Learning Research, 2024

38. The Identification of minor impact collisions in a long video for detecting property damages caused by fleeing vehicles using 3D convolutional neural network

• Inwoo Hwang, Yong-Gu Lee (GIST)
• Journal of Computational Design and Engineering, 2024

37. Edge Conditional Node Update Graph Neural Network for Multivariate Time Series Anomaly Detection

• Hayoung Jo, Seong-Whan Lee (Korea University)
• Information Sciences, 2023

36. The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions

• Mingyu Kim; Jihwan Oh; Yongsik Lee; Joonkee Kim; Seonghwan Kim; Song Chong; Seyoung Yun (KAIST)
• IEEE Access, 2023

35. Federated Split Learning with Joint Personalization-Generalization for Inference- Stage Optimization in Wireless Edge Networks

• Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David Nickel, Mung Chiang, Christopher G. Brinton, Jaekyun Moon (KAIST)
• IEEE Transactions on Mobile Computing, 2023

34. Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses

• Dong-Jun Han , Jungwuk Park , Seokil Ham , Namjin Lee, and Jaekyun Moon  (KAIST)
• IEEE Transactions on Neural Networks and Learning Systems, 2023

33. Unsupervised Video Anomaly Detection Based on Similarity with Predefined Text Descriptions

• Jaehyun Kim, Seongwook Yoon, Taehyeon Choi and Sanghoon Sull (Korea University)
• MDPI Sensors, 2023

32. Cross-Modal Alignment and Translation for Missing Modality Action Recognition

• Yeonju Park, Sangmin Woo, Sumin Lee, Muhammad Adi Nugroho, Changick Kim (KAIST)
• Computer Vision and Image Understanding, 2023

31. Defending Video Recognition Model against Adversarial Perturbations via Defense Patterns

• Hong Joo Lee, Yong Man Ro (KAIST)
• IEEE Dependable and Secure Computing, 2023

30. Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

• Hong Joo Lee, Yong Man Ro (KAIST)
• IEEE Transactions on Information Forensics and Security, 2023

29. Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection

• Jung Uk Kim, Hyung-Il Kim, Yong Man Ro (KAIST)
• IEEE Transactions on Image Processing, 2023

28. Advancing Adversarial Training by Injecting Booster Signal

• Hong Joo Lee, Youngjoon Yu, Yong Man Ro (KAIST)
• IEEE Transactions on Neural Network and System, 2023

27. DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement

• Dongheon Lee , Dayun Choi , Jung-Woo Choi (KAIST)
• IEEE Signal Processing Letters, 2023

26. Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

• Taehyeon Kim; Se-Young Yun (KAIST)
• IEEE Access, 2022

25. Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch

• Sungnyun Kim; Se-Young Yun (KAIST)
• IEEE Access, 2022

24. Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame

• Youngjoon Yu*, Hong Joo Lee*, Hakmin Lee, and Yong Man Ro (KAIST)
• IEEE Transactions on Image Processing (IEEE TIP), 2022

23. Attentional Feature Pyramid Network for Small Object Detection

• Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee (Korea University)
• Neural Networks, 2022

22. MCDAL: Maximum Classifier Discrepancy for Active Learning

• Jae Won Cho, Dong-Jin Kim, Yunjae Jung, and In So Kweon (KAIST)
• IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022

21. 2PESNet: Towards online processing of temporal action localization

• Young Hwi Kim, Seonghyeon Nam, and Seon Joo Kim (Yonsei University)
• Pattern Recognition, 2022

20. Human Interaction Recognition Framework based on Interacting Body Part Attention

• Dong-GyuLee and Seong-Whan Lee (Kyungpook National University, Korea University)
• Pattern Recognition, 2022

19. Contrastive Accelerometer-Gyroscope Embedding Model for Human Activity Recognition

• Inyong Koo, Yeonju Park, Minki Jeong, and Changick Kim  (KAIST)
• IEEE Sensors, 2022

18. Two-Step Joint Optimization with Auxiliary Loss Function for Noise-Robust Automatic Speech Recognition

• Geon Woo Lee and Hong Kook Kim (GIST)
• MDPI Sensors, 2022

17. Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch

• Sungnyun Kim and Se-Young Yun (KAIST)
• IEEE Access, 2022

16. Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

• Taehyeon Kim and Se-Young Yun (KAIST)
• IEEE Access, 2022

15. Globally convergent observer for the rigid body system on SE(3) in presence of intermittent measurements

• Soham Shanbhag, Dong Eui Chang (KAIST)
• IEEE Access, 2022

14. Multispectral interaction convolutional neural network for pedestrian detection

• Junhwan Ryu, Jongchan Kim, Heegon Kim, Sungho Kim (Yeungnam University)
• Computervision and Image Understanding (CVIU), 2022

13. Beyond Homography: Nonparametric Image Alignment via Graph Convolutional Networks

• Mijeong Kim and Bohyung Han (Seoul National University)
• Machine Vision and Application, 2022

12. Single-Image Depth Estimation Using Relative Depths

• Jae-Han Lee and Chang-Su Kim (Korea University)
• Journal of Visual Communication and Image Representation, 2022

11. Distributed Associative Memory Network with Memory Refreshing Loss

• Taewon Park, Inchul Choi, and Minho Lee (Kyungpook National University)
• Neural Networks, 2021

10. Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection

• Jung Uk Kim, Sungjune Park, and Yong Man Ro (KAIST)
• IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2021

9. PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier

• Jihyong Oh and Mulchurl Kim (KAIST)
• IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2021

8. MS-UDA: Multi-Spectral Unsupervised Domain Adaptation for Thermal Image Semantic Segmentation

• Yeong-Hyeon Kim, Ukcheol Shin, Jinsun Park, and In So Kweon (KAIST)
• IEEE Robotics and Automation Letters (RA-L), 2021

7. The Adaptive Dynamic Programming Toolbox

• Xiaowei Xing, and Dong Eui Chang (KAIST)
• MDPI Sensors, 2021

6. Differentiable Architecture Search Based on Coordinate Descent

• Pyunghwan Ahn, Hyeong Gwon Hong, and Junmo Kim (KAIST)
• IEEE Access, 2021

5. Adversarially Robust Hyperspectral Image Classification via Random Spectral Sampling and Spectral Shape Encoding

• Sungjune Park, Hong Joo Lee, and Yong Man Ro (KAIST)
• IEEE Access, 2021

4. Accent for Visible and Infrared Registration (AVIR): Attention Block for Increasing Patch Matching Rate Through Edge Emphasis

• Inho Park, Jongmin Jeong, and Sungho Kim (Yeungnam University)
• IEEE Access, 2021

3. Gradient Masking of Label Smoothing in Adversarial Robustness

• Hyungyu Lee, Ho Bae, Sungroh Yoon (Seoul National University)
• IEEE Access, 2021

2. Globally Exponentially Convergent Continuous Observers for Velocity Bias and State for Invariant Kinematic Systems on Matrix Lie Groups

• Dong Eui Chang (KAIST)
• IEEE Transactions on Automatic Control (IEEE TAC), 2020

1. CUA: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection

• Jung Uk Kim, Seong Tae Kim, Hong Joo Lee, Sangmin Lee, and Yong Man Ro (KAIST)
• IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020