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

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)

Hierarchical Open-vocabulary Universal Image Segmentation. - Xudong Wang 007; Shufan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (NeurIPS, 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)

Hyperbolic Learning with Multimodal Large Language Models. - Paolo Mandica; Luca Franco; Konstantinos Kallidromitis; Suzanne Petryk; Fabio Galasso (ECCV Workshops (17), 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 (ICML, 2024)

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

SegLLM: Multi-round Reasoning Segmentation. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Konstantinos Kallidromitis; Kehan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (CoRR, 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 (CVPR, 2025)

SegLLM: Multi-round Reasoning Segmentation with Large Language Models. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Kehan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (ICLR, 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, 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, 2025)