PEOPLE

Konstantinos Kallidromitis Konstantinos Kallidromitis

Konstantinos Kallidromitis

M.Sc. in Computer Engineering
AI Laboratory, Panasonic R&D Company of America

He is an expert of deep learning for time-series data. He is in charge of research project aimed to reduce annotation cost for time series data and its applications. His research interest includes neural processes, contrastive learning, and self-supervised learning.

*The department is where the interviewee belonged to at that time

Publications

  • The Thirteenth International Conference on Learning Representations (ICLR2025)

    SegLLM: Multi-round Reasoning Segmentation

    XuDong Wang, Shaolun Zhang, Shufan Li, Konstantinos Kallidromitis, Kehan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
    arXiv: https://arxiv.org/abs/2410.18923

  • The 38th Annual Conference on Neural Information Processing Systems (NeurIPS2024)

    Aligning Diffusion Models by Optimizing Human Utility

    Shufan Li,Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka
    arXiv: https://arxiv.org/abs/2404.04465

  • The 41st International Conference on Machine Learning(ICML 2024)

    Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

    Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso
    arXiv: https://arxiv.org/abs/2306.11180

  • The 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)

    Hierarchical Open-vocabulary Universal Image Segmentation

    Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
    arXiv: https://arxiv.org/abs/2307.00764