Kallidromitis, Konstantinos

9 publications

NeurIPS 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

CVPR 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

ICCV 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

ICLR 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

NeurIPS 2024 Aligning Diffusion Models by Optimizing Human Utility Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka

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

ECCVW 2024 Hyperbolic Learning with Multimodal Large Language Models Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso

NeurIPS 2023 Hierarchical Open-Vocabulary Universal Image Segmentation Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

ACML 2021 Contrastive Neural Processes for Self-Supervised Learning Konstantinos Kallidromitis, Denis Gudovskiy, Kozuka Kazuki, Ohama Iku, Luca Rigazio