Dongbin Na

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Facial Recognition

Top Venues

ECCV Workshops (1)

Comput. Vis. Image Underst.

Publications

Eungyeom Ha, Heemook Kim, Dongbin Na
HOD: New Harmful Object Detection Benchmarks for Robust Surveillance. WACV (Workshops) (2024)
Dasol Choi, Jooyoung Song, Eunsun Lee, Jinwoo Seo, Heejune Park, Dongbin Na
Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services. CoRR (2023)
Dasol Choi, Dongbin Na
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems. CoRR (2023)
Hong-Jun Choi, Dongbin Na, Kyungjin Cho, Byunguk Bae, Seo Taek Kong, Hyunjoon An
Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method. CoRR (2023)
Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. EACL (Findings) (2023)
Eungyeom Ha, Heemook Kim, Sung Chul Hong, Dongbin Na
HOD: A Benchmark Dataset for Harmful Object Detection. CoRR (2023)
Jinwoo Seo, Soora Choi, Eungyeom Ha, Beomjune Kim, Dongbin Na
New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models. CoRR (2023)
Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. AAAI (2023)
Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. CoRR (2023)
Beomjune Kim, Eunsun Lee, Dongbin Na
A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers. CoRR (2023)
Jaeyoung Kim, Kyuheon Jung, Dongbin Na, Sion Jang, Eunbin Park, Sungchul Choi
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers. ACL (Findings) (2023)
Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. CoRR (2023)
Dasol Choi, Dongbin Na
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection. CoRR (2023)
Juntae Kim, Eunjung Cho, Dongwoo Kim, Dongbin Na
Problem-Solving Guide: Predicting the Algorithm Tags and Difficulty for Competitive Programming Problems. CoRR (2023)
Jaeyoung Kim, Kyuheon Jung, Dongbin Na, Sion Jang, Eunbin Park, Sungchul Choi
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers. CoRR (2023)
Dongbin Na, Sangwoo Ji, Jong Kim
Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries. ECCV Workshops (1) (2022)
Sangwoo Ji, Namgyu Park, Dongbin Na, Bin Zhu, Jong Kim
Defending against attacks tailored to transfer learning via feature distancing. Comput. Vis. Image Underst. 223 (2022)
Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity. NeurIPS (2022)
Dongbin Na, Sangwoo Ji, Jong Kim
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries. CoRR (2022)
Dongbin Na, Namgyu Park, Sangwoo Ji, Jong Kim
CAPTCHAs Are Still in Danger: An Efficient Scheme to Bypass Adversarial CAPTCHAs. WISA (2020)