Gukyeong Kwon

According to our database, Gukyeong Kwon authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Masked Vision and Language Modeling for Multi-modal Representation Learning.

Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.

Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Patient Aware Active Learning for Fine-Grained OCT Classification.

Yash-Yee Logan, Ryan Benkert, Ahmad Mustafa, Gukyeong Kwon, Ghassan AlRegib

CoRR, 2022

A Gating Model for Bias Calibration in Generalized Zero-shot Learning.

Gukyeong Kwon, Ghassan AlRegib

CoRR, 2022

Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification.

Yash-Yee Logan, Kiran Kokilepersaud, Gukyeong Kwon, Ghassan AlRegib, Charles C. Wykoff, Hannah Yu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.

Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition.

Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib

Dataset, September, 2021

Learning Representations Toward the Understanding of Out-of-Distribution for Neural Networks.

Gukyeong Kwon

PhD thesis, 2021

2020

Contrastive Explanations In Neural Networks.

Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib

Proceedings of the IEEE International Conference on Image Processing, 2020

Novelty Detection Through Model-Based Characterization of Neural Networks.

Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the IEEE International Conference on Image Processing, 2020

Backpropagated Gradient Representations for Anomaly Detection.

Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Distorted Representation Space Characterization Through Backpropagated Gradients.

Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Semantically Interpretable and Controllable Filter Sets.

Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition.

Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2017

Power of tempospatially unified spectral density for perceptual video quality assessment.

Mohammed A. Aabed, Gukyeong Kwon, Ghassan AlRegib

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017