Juil Koo

Bio

I am Juil Koo, a second-year PhD student in the KAIST Visual AI Group, led by Prof. Minhyuk Sung. This summer 2024, I will be joining Adobe Research as an intern, mentored by Duygu Ceylan.

My research interest lies in vision and language multi-modality, especially the relationship between 3D geometry and language. I am working towards the next advancement in AI, where machines are capable of more complex thought by leveraging multiple modalities like humans.

My Erdős number is 3 (Juil Koo → Leonidas Guibas → Frances Yao → Paul Erdős).

"A painting of a boy using a laptop in front of a pond with water lilies, by Claude Monet", generated by DALL·E 2 and DALL·E 3.

News

(Mar. 2024) I will start my internship at Adobe Research in London, under the mentorship of Duygu Ceylan, this coming summer.
(Feb. 2024) Posterior Distillation Sampling has been accepted at CVPR 2024!
(Sep. 2023) I presented a brief overview of SALAD at two workshops during ICCV 2023: Language for 3D Scenes (L3DS) and AI for 3D Content Creation (AI3DCC).
(Jul. 2023) Our SALAD paper got accepted to ICCV 2023!
(Feb. 2023) I received an outstanding TA award.
(Feb. 2023) My Master's thesis has been awarded the outstanding thesis award!
(Dec. 2022) I passed my Master's thesis defense.
(Nov. 2022) Our PartGlot paper won the Qualcomm Innovation Fellowship Korea (QIFK) 2022!
(Oct. 2022) I made a short presentation about PartGlot at the ECCV 2022 Language for 3D Scenes (L3DS) Workshop.
(Jul. 2022) I won an outstanding paper award at Korea Computer Graphics Society (KCGS 2022).
(Mar. 2022) My first work, PartGlot, has been accepted as an oral paper at CVPR 2022. Thank all my valuable collaborators for this huge accomplishment!
(Feb. 2022) I received an outstanding TA award.