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Hojun (Eric) Choi

Ph.D. Candidate
KAIST AI
hchoi256@kaist.ac.kr


About Me

Hello. 👋

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I am a first-year Ph.D. student at KAIST AI, advised by Prof. Hyunjung (Kate) Shim. Before joining KAIST, I conducted research with Prof. Bin Ran at the CAVH Research Group at the University of Wisconsin–Madison and with Prof. U Kang at the Data Mining Lab at Seoul National University. I also worked with Prof. Insik Shin at FLUIZ and Dr. Jinhan Lee at NAVER LABS.


News


Publications

Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints
ECCV
Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints
Hojun Choi, Seulbin Hwang, Dae Jung Kim, Kisung Kim, Hyunjung Shim, and Jinhan Lee
European Conference on Computer Vision (ECCV), 2026.
CoT-PL: Chain-of-Thought Pseudo-Labeling for Open-Vocabulary Object Detection
ECCV CVPRW
CoT-PL: Chain-of-Thought Pseudo-Labeling for Open-Vocabulary Object Detection
Hojun Choi, Youngsun Lim, Jaeyo Shin, and Hyunjung Shim
2nd Workshop on Multimodal Spatial Intelligence @ CVPR (CVPRW), 2026.
European Conference on Computer Vision (ECCV), 2026.
SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous Driving
Preprint
SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous Driving
Wonjeong Ryu, Seungjun Yu, Seokha Moon, Hojun Choi, Junsung Park, Jinkyu Kim, and Hyunjung Shim
Preprint, 2025.
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
AAAI
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
Youngsun Lim*, Hojun Choi*, and Hyunjung Shim (*Equal contribution)
AAAI Conference on Artificial Intelligence (AAAI), 2025.
Sampling Bag of Views for Open-Vocabulary Object Detection
Preprint
Sampling Bag of Views for Open-Vocabulary Object Detection
Hojun Choi, Junsuk Choe, and Hyunjung Shim
Preprint, 2024.
MobileGPT: Augmenting LLM with Human-like App Memory for Mobile Task Automation
MobiCom
MobileGPT: Augmenting LLM with Human-like App Memory for Mobile Task Automation
Sunjae Lee, Junyoung Choi, Jungjae Lee, Munim Hasan Wasi, Hojun Choi, Steven Y. Ko, Sangeun Oh, and Insik Shin
ACM International Conference on Mobile Computing and Networking (MobiCom), 2024.
Accurate Retraining-free Pruning for Pre-trained Encoder-based Language Models
ICLR
Accurate Retraining-free Pruning for Pre-trained Encoder-based Language Models
Seungcheol Park, Hojun Choi, and U Kang
International Conference on Learning Representations (ICLR), 2024.

Education

KAIST AI Jan. 2026 – Present
Ph.D. in Artificial Intelligence
KAIST AI Jan. 2024 – Dec. 2025
M.S. in Artificial Intelligence
University of Wisconsin–Madison
B.S. in Computer Science
B.S. in Data Science
Jan. 2017 – Dec. 2022
GPA: 3.9/4.0
Dean's List Recipient

Research Experience


Awards