Thesis Research Seminars

Scheduled to be updated once a month

By Geunho Lee

Note: This repository is a space for the archive of paper seminars held regularly once a month. Each seminar is approximately 30 minutes long and introduces the main research content and provides related Q&A.

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Thesis Research Seminars List

Date Title & Topic Link
2023-12-15 Jinwoo Park, Jihun Bae, Jongeon Im, Byeongchan Kim, Jongpil Jeong, “LED-Display Defect Detection Based on YOLOv5 and Transformer”, IEEE Access, 18 October 2023 Link
2025-02-21 Bowen Wen, Wei Yang, Jan Kautz, Stan Birchfield, “FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects”, arXiv only, 26 March 2024 Link
2025-03-19 Peng Lu, Tao Jiang, Yining Li, Xiangtai Li, Kai Chen, Wenming Yang, “RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 1491–1501, Link
2025-04-09 Hejun Xiao, Kunyu Peng, Xiangsheng Huang, Alina Roitberg, Hao Li, Zhaohui Wang, Rainer Stiefelhagen, “Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation”, IEEE Sensors Journal, vol. 23, no. 20, pp. 12345–12356, October 2023 Link
2025-05-21 Manqing Dong, Hao Huang, Longbing Cao, “Can LLMs Serve As Time Series Anomaly Detectors?”, arXiv preprint arXiv:2408.03475, 6 August 2024. Link
2025-06-04 Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et. al, “Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena”, NeurIPS 2023 (37th Conference on Neural Information Processing Systems), Datasets and Benchmarks Track , December 2023 Link
2025-07-02 Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng, et al, “Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection”, Proceedings of the Thirty‑Third International Joint Conference on Artificial Intelligence (IJCAI24), January 2024. Link
2025-07-23 Hyogun Lee, Haksub Kim, Ig-Jae Kim, Yonghun Choi, “Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection”, NeurIPS 2023 (37th Conference on Neural Information Processing Systems), Datasets and Benchmarks Track , December 2023 Link
2025-08-02 Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du, “Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities”, Accepted by SIGKDD Explorations Newsletter.10835, Febuary 2024. Link
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