ETRI Visual Intelligence Lab(시각지능연구실)

스스로 학습역량을 인지하고 활용하여 적정한 결과를 제공하는 인공지능 기술개발

연구기간: 2022.04 ~ 2026.12

연구실적(논문/학술대회)

[International Journals]

Sooyoung Jang and Hyung-Il Kim, "Entropy-aware Model Initialization for Effective Exploration in Deep Reinforcement Learning," Sensors, vol. 22, no. 15, pp. 5845, 2022. [Link]

[International Conferences]

Jungbin Kim and Insoon Yang, "Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis," International Conference on Machine Learning (ICML), 2022. [Link]
Minsu Kim, Hyunjun Kim, and Yong Man Ro, "Speaker-adaptive Lip Reading with User-dependent Padding," European Conference on Computer Vision (ECCV), 2022. [Link]
Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, and Bumsub Ham, "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation," European Conference on Computer Vision (ECCV), 2022. [Link]
Hyundong Jin and Eunwoo Kim, "Helpful or Harmful: Inter-task Association in Continual Learning," European Conference on Computer Vision (ECCV), 2022. [Link]
Youngwan Lee, Joong-won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, and Sung Ju Hwang, "Localization Uncertainty Estimation for Anchor-free Object Detection," European Conference on Computer Vision Workshops (ECCVW), 2022. [Link]
Sejong Yang, Subin Jeon, Seonghyeon Nam, and Seon Joo Kim, "Dense Interspecies Face Embedding," Advances in Neural Information Processing Systems (NeurIPS), 2022. [Link]
Yeoneung Kim, Insoon Yang, and Kwang-Sung Jun, "Improved Regret Analysis for Variance-adaptive Linear Bandits and Horizon-free Linear Mixture MDPs," Advances in Neural Information Processing Systems (NeurIPS), 2022. [Link]
Whiyoung Jung, Myungsik Cho, Jongeui Park, and Youngchul Sung, "Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framawork Constraining Outage Probability," Advances in Neural Information Processing Systems (NeurIPS), 2022. [Link]
Byeolyi Han and Tae-Hyun Oh, "Learning Few-shot Segmentation from Bounding Box Annotations," IEEE Winter Conference on Applications of Computer Vision (WACV), 2023. [Link]
Arda Senocak, Junsik Kim, Tae-Hyun Oh, Dingzeyu Li, and In So Kweon, "Event-specific Audio-visual Fusion Layers: A Simple and New Perspective on Video Understanding," IEEE Winter Conference on Applications of Computer Vision (WACV), 2023. [Link]
Byung-Ki Kwon, Hyeon-Woo Nam, Ji-Yun Kim, and Tae-Hyun Oh, "DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline," International Conference on Learning Representations (ICLR), 2023. (Accepted)
Youngwan Lee, Jeffrey Willette, Jonghee Kim, Juho Lee, and Sung Ju Hwang, "Exploring the Role of Mean Teachers in Self-supervised Masked Auto-encoder," International Conference on Learning Representations (ICLR), 2023. (Accepted)

[Preprint]

Minsu Kim, Youngjoon Yu, Sungjune Park, and Yong Man Ro, "Meta Input: How to Leverage Off-the-shelf Deep Neural Networks," arXiv preprint arXiv:2210.13186, 2022. [Link]

[Promotions]

대전시+ETRI, 100억 투입 'AI 활용 범죄 없는 도시 만들기' 나선다 [Link]

Acknowledgement

This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT)(No. 2022-0-00124,Development of Artificial Intelligence Technology for Self-Improving Competency-Aware Learning Capabilities).