안녕하세요! (Hi), I'm a Research Scientist at Google DeepMind #multimodal #computervision #nlp #speech #genai
My passion lies in developing multi-modal AI models that holistically understand the world!
Currently, I contribute to Gemini Live, enhancing LLM capabilities for improved listening🎧 and speaking🔊
I earned my PhD from Seoul National University, under the guidance of Prof. Nam Ik Cho.
- Slerp+ : Spherical Linear Interpolation for Unified Compositional Retrieval, Young
Kyun Jang, Donghyun Kim, Bo He, Zihang Meng, Ser-Nam Lim
- Visual Delta Generator with Large Multi-modal Generative Models for Composed Image Retrieval by Harnessing Unlabeled Data, Young
Kyun Jang, Donghyun Kim
- Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models, Young
Kyun Jang, Ser-Nam Lim, arxiv
Publications
- GOAL: Global-local Object Alignment Learning, Hyungyu Choi*, Young Kyun Jang*, and Chanho Eom, CVPR2025
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- MATE: Meet At The Embedding - Connecting Images with Long Texts, Young
Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim, EMNLP2024 - Findings , arxiv
- Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval, Young
Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim, ECCV2024, arxiv
- Visual Delta Generator with Large Multi-modal Model for Semi-supervised Composed Image Retrieval, Young
Kyun Jang*, Donghyun Kim*, Zihang Meng, Dat Huynh, Ser-Nam Lim, CVPR2024, arxiv, project
- MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding, Bo He, Hengduo Li,
Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim,
CVPR2024, arxiv, project
- On the Robustness of Large Multimodal Models Against Image Adversarial Attacks, Xuanming Cui, Alejandro
Aparcedo, Young Kyun Jang, Ser-Nam Lim, CVPR2024, arxiv
- VICT: Visual In-Context Tuning, Young Kyun Jang, Dat Huynh, Zihang Meng, Ser-Nam Lim, ICCV2023
Workshop
on Multimodal Foundation Models, pdf
- Deep Hash Distillation for Image Retrieval, Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Isaac Kang, Nam
Ik Cho, ECCV2022, arxiv, project
- Self-Supervised Pretraining for Deep Hash-Based Image Retrieval, Haeyoon Yang, Young Kyun Jang, Isaac
Kang, Nam Ik Cho, ICIP2022
- Self-supervised product quantization for deep unsupervised image retrieval, Young Kyun Jang, Nam Ik
Cho, ICCV2021, arxiv, project
- Generalized Product Quantization Network for Semi-Supervised Image Retrieval, Young Kyun Jang, Nam Ik
Cho, CVPR2020, arxiv, project
- Deep face image retrieval for cancelable biometric authentication (Oral), Young Kyun Jang, Nam Ik
Cho, AVSS2019
- Deep clustering and block hashing network for face image retrieval, Young Kyun Jang, Dong-ju Jeong,
Seok Hee Lee, Nam Ik Cho, ACCV2018
Work Experiences
Post-doc Research Scientist@Meta AI, Oct 2022 to Oct 2024
Staff Engineer@Samsung Research, Mar 2022 to Sep 2022
Research Intern@Naver Search, June 2021 to Feb 2022
Education
Ph.D. in Electrical and Computer Engineering@Seoul National University, Mar 2016 to Feb 2022
B.S. in Electrical and Computer Engineering@Seoul National University, Mar 2012 to Sep 2016