Konstantinos Kallidromitis

According to our database, Konstantinos Kallidromitis authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

LaViDa: A Large Diffusion Language Model for Multimodal Understanding.

Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover

CoRR, May, 2025

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection.

Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Arsh Koneru, Yusuke Kato, Kazuki Kozuka, Aditya Grover

CoRR, March, 2025

SegLLM: Multi-round Reasoning Segmentation with Large Language Models.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SegLLM: Multi-round Reasoning Segmentation.

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

CoRR, 2024

Aligning Diffusion Models by Optimizing Human Utility.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Hyperbolic Learning with Multimodal Large Language Models.

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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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