Konstantinos Kallidromitis

According to our database, Konstantinos Kallidromitis authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows.

Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover

CoRR, 2024

SegLLM: Multi-round Reasoning Segmentation.

Xudong Wang, Shaolun Zhang, Shufan Li, Konstantinos Kallidromitis, Kehan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

CoRR, 2024

Hyperbolic Learning with Multimodal Large Language Models.

Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso

CoRR, 2024

Aligning Diffusion Models by Optimizing Human Utility.

Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift.

Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Fabio Galasso

CoRR, 2023

Hierarchical Open-vocabulary Universal Image Segmentation.

Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Refine and Represent: Region-to-Object Representation Learning.

Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed

CoRR, 2022

2021

Contrastive Neural Processes for Self-Supervised Learning.

Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio

Proceedings of the Asian Conference on Machine Learning, 2021