activity
20192024
most citedA Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching

44 citations · 46 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning

Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee

Recently, appearance-based gaze estimation has been attracting attention in computer vision, and remarkable improvements have been achieved using various deep learning techniques.…

cs.CV2023

Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance

Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon +1

Revealing the transparency of Deep Neural Networks (DNNs) has been widely studied to describe the decision mechanisms of network inner structures. In this paper, we propose a novel…

cs.CV2022

Few-Shot Object Detection with Proposal Balance Refinement

Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee

Few-shot object detection has gained significant attention in recent years as it has the potential to greatly reduce the reliance on large amounts of manually annotated bounding bo…

eess.IV20212 cited

Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units

Woo-Jeoung Nam, Seong-Whan Lee

As interpretability has been pointed out as the obstacle to the adoption of Deep Neural Networks (DNNs), there is an increasing interest in solving a transparency issue to guarante…

cs.CV2020

Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations

Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee

The clear transparency of Deep Neural Networks (DNNs) is hampered by complex internal structures and nonlinear transformations along deep hierarchies. In this paper, we propose a n…

cs.CV2020

Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning

Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee

Remote sensing image retrieval (RSIR) is the process of ranking database images depending on the degree of similarity compared to the query image. As the complexity of RSIR increas…