Woo-Young Kang (강우영) [Google Scholar]

I am a research scientist at Kakao, South Korea. My research lies at the intersection of computer vision (CV), and machine learning (ML), with a focus on representation learning and generative modeling. I earned my MS. degree in Computer Science and Engineering from Seoul National University under the supervision of Prof. Byoung-Tak Zhang.
Reseach interest: Multimodal learning, Representation learning, Generative modeling
Email: edwin.ai@kakaocorp.com | rkddndud50@gmail.com

International Challenges

We placed 3rd in the NICE challenge, hosted by CVPR 2023 NICE workshop.
Woo-Young Kang, Jonghwan Mun, Won Young Jhoo, Byungseok Roh
New frontiers for zero-shot Image Captioning Evaluation (NICE).

We won at VALUE challenge, hosted by ICCV 2021 Fourth Workshop on Closing the Loop Between Vision and Language.
Minchul Shin, Jonghwan Mun, Kyoung-Woon On, Woo-Young Kang, Gunsoo Han, Eun-Sol Kim
A Comprehensive Benchmark for Video-And-Language Understanding Evaluation.

We won at GQA challenge, hosted by CVPR 2019 VQA workshop.
Eun-Sol Kim, Yu-Jung Heo, Woo-Young Kang
GQA Real-World Visual Reasoning Challenge 2019

International Conference
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha*, Woo-Young Kang*, Jonghwan Mun*, Byungseok Roh
*Authors contributed equally
CVPR 2024, Highlight (324 out of 2719 accepted papers) [pdf] [code]
Towards a Complete Benchmark on Video Moment Localization
Jinyeong Chae*, Donghwa Kim*, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Woo-Young Kang, Byungseok Roh, Joonseok Lee
*Authors contributed equally
AISTATS 2024 [pdf]
Large Language Models are Temporal and Causal Reasoners for Video Question Answering
Dohwan Ko*, Ji Soo Lee*, Woo-Young Kang, Byungseok Roh, Hyunwoo J. Kim
*Authors contributed equally
EMNLP 2023 [pdf] [code]
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning
Woo-Young Kang*, Jonghwan Mun*, Sungjun Lee*, Byungseok Roh
*Authors contributed equally
ICCV 2023 [pdf] [code]
Dense but Efficient VideoQA for Intricate Compositional Reasoning
Jihyeon Lee*, Woo-Young Kang*, Eun-Sol Kim
*Authors contributed equally
WACV 2023 [pdf]
Image-to-Image Retrieval by Learning Similarity between Scene Graphs
Sangwoong Yoon, Woo-Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim
AAAI 2021 [pdf]
Hypergraph Attention Networks for Multimodal Learning
Eun-Sol Kim*, Woo-Young Kang*, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang
*Authors contributed equally
CVPR 2020 [pdf]
Continual Learning with Generative Replay via Discriminative Variational Autoencoder
Woo-Young Kang and Byoung-Tak Zhang
NIPS 2018 Workshop on Continual Learning [pdf]
Extremely Sparse Deep Learning using Inception Modules with Dropfilters
Woo-Young Kang, Kyung-Wha Park, and Byoung-Tak Zhang
ICDAR 2017 Oral presentation [pdf]
Attention Memory for Locating an Object through Visual Dialogue
Cheolho Han*, Yu-Jung Heo*, Woo-Young Kang, Jae-Hyun Jun, and Byoung-Tak Zhang
*Authors contributed equally
CVPR 2017 Workshop on VQA Challenge [pdf]
Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks
Cheolho Han*, Sang-Woo Lee*, Yu-Jung Heo, Woo-Young Kang, Jae-Hyun Jun, and Byoung-Tak Zhang
*Authors contributed equally
IJCAI 2017 Workshop on Linguistic and Cognitive Approaches to Dialog Agents(LaCATODA) [pdf]

Domestic Journal

Analyzing and Solving GuessWhat?!
Sang-Woo Lee, Cheolho Han, Yu-Jung Heo, Woo-Young Kang, Jae-Hyun Jun, and Byoung-Tak Zhang
Journal of KIISE, Vol.45, No. 1, Jan, 2018 [pdf]

Robust Scheduling based on Daily Activity Learning by using Markov Decision Process and Inverse Reinforcement Learning
Sang-Woo Lee, Dong-Hyun Kwak, Kyoung-Woon On, Yu-Jung Heo, Woo-Young Kang, Ceyda Cinarel, and Byoung-Tak Zhang
Journal of KIISE: Computing Practices, Vol. 23, No. 10, Oct, 2017 [pdf]

Domestic Conference

Hangul Handwritting Recognition using Sparse Conviutional Neural Netwroks Based on Inception Modules with Dropfilter
Woo-Young Kang and Byoung-Tak Zhang
Proc. Korea Computer Congress 2017 (KCC 2017) [pdf]
✨ Best presentation award

Analyzing and Solving GuessWhat?!
Sang-Woo Lee, Cheolho Han, Yu-Jung Heo, Woo-Young Kang, Jae-Hyun Jun, and Byoung-Tak Zhang
Proc. Korea Computer Congress 2017 (KCC 2017) [pdf]
✨ Best paper award

Goal-oriented Question Generator model using Attention for GuessWhat?!
Jae-Hyun Jun, Woo-Young Kang, Cheolho Han, Yu-Jung Heo, and Byoung-Tak Zhang
Proc. Korea Computer Congress 2017 (KCC 2017) [pdf]
✨ Best presentation award

Image Classification using Convolutional Neural Networks Based on Discriminative Features
Woo-Young Kang and Byoung-Tak Zhang
Proc. Korea Software Congress 2016 (KSC 2016) [pdf]

Robust Scheduling based on Daily Activity Learning by using Markov Decision Process and Inverse Reinforcement Learning
Sang-Woo Lee, Dong-Hyun Kwak, Kyoung-Woon On, Yu-Jung Heo, Woo-Young Kang, Ceyda Cinarel, and Byoung-Tak Zhang
Proc. Korea Software Congress 2016 (KSC 2016) [pdf]
✨ Best presentation award

Hangeul Handwritting Recognition using Deeper Convolutional Neural Networks Based on Inception Modules
Woo-Young Kang, Byoung-Hee Kim, and Byoung-Tak Zhang
Proc. Korea Software Congress 2016 (KSC 2016) [pdf]
✨ Best presentation award

Visual Features Analysis for Deep Hypernetworks Learning Cartoon Videos
Woo-Young Kang, Kyung-Min Kim, Chan-Jun Nan, and Byoung-Tak Zhang
Proc. Korea Software Congress 2015 (KSC 2015) [pdf]

Last update: June 09, 2024 by Woo-Young Kang