Konstantinos Kallidromitis

20 papers A* 5C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens. CoRR Yiming Qin, Bomin Wei, Jiaxin Ge, Konstantinos Kallidromitis, Stephanie Fu, Trevor Darrell, Xudong Wang
2025	J	`jnl`	LaViDa: A Large Diffusion Language Model for Multimodal Understanding. CoRR Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover
2025	J	`jnl`	Learning to Grasp Anything by Playing with Random Toys. CoRR Dantong Niu, Yuvan Sharma, Baifeng Shi, Rachel Ding, Matteo Gioia, Haoru Xue, Henry Tsai, Konstantinos Kallidromitis, Anirudh Pai, Shankar Shastry, Trevor Darrell, Jitendra Malik, Roei Herzig
2025	J	`jnl`	MobileWorldBench: Towards Semantic World Modeling For Mobile Agents. CoRR Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Aditya Grover
2025	A*	`conf`	OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. CVPR Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover
2025	J	`jnl`	Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection. CoRR Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Arsh Koneru, Yusuke Kato, Kazuki Kozuka, Aditya Grover
2025	A*	`conf`	SegLLM: Multi-round Reasoning Segmentation with Large Language Models. ICLR Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2024	A*	`conf`	Aligning Diffusion Models by Optimizing Human Utility. NeurIPS Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka
2024	J	`jnl`	Aligning Diffusion Models by Optimizing Human Utility. CoRR Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka
2024	A*	`conf`	Hyperbolic Active Learning for Semantic Segmentation under Domain Shift. ICML Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso
2024	—	`conf`	Hyperbolic Learning with Multimodal Large Language Models. ECCV Workshops (17) Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso
2024	J	`jnl`	Hyperbolic Learning with Multimodal Large Language Models. CoRR Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso
2024	J	`jnl`	OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. CoRR Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover
2024	J	`jnl`	SegLLM: Multi-round Reasoning Segmentation. CoRR Xudong Wang, Shaolun Zhang, Shufan Li, Konstantinos Kallidromitis, Kehan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2023	A*	`conf`	Hierarchical Open-vocabulary Universal Image Segmentation. NeurIPS Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2023	J	`jnl`	Hierarchical Open-vocabulary Universal Image Segmentation. CoRR Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2023	J	`jnl`	Hyperbolic Active Learning for Semantic Segmentation under Domain Shift. CoRR Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Fabio Galasso
2022	J	`jnl`	Refine and Represent: Region-to-Object Representation Learning. CoRR Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed
2021	C	`conf`	Contrastive Neural Processes for Self-Supervised Learning. ACML Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio
2021	J	`jnl`	Contrastive Neural Processes for Self-Supervised Learning. CoRR Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio