Research Groups

Our lab focuses on visual perception and machine reasoning. We read papers, code, discuss, and publish across various areas, including computer vision, machine learning, natural language processing, and robotics. It is a collaborative environment where students and researchers explore cutting-edge AI technologies and bring creative ideas to life. We also actively recruit undergraduate research interns.

Computer Vision
Machine Learning
Multimodal AI
Embodied AI
Continual Learning
Binary Networks
Neuromorphic (Event) Cameras
Natural Language Processing

- Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling, Minhyuk Seo, Hyunseo Koh, Jonghyun Choi, ICLR 2025 - Spotlight
- Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback, Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi, ACL 2024 - Oral
- Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents, Jinyeon Kim*, Cheolhong Min*, Byeonghwi Kim, Jonghyun Choi, CoRL 2024
- Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents, Byeonghwi Kim, Jinyeon Kim, Yuyeong Kim, Cheolhong Min, Jonghyun Choi, ICCV 2023
- Ask4Help: Learning to Leverage an Expert for Embodied Tasks, Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kembhavi, Roozbeh Mottaghi, NeurIPS 2022