Jongseong Jang

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 19

Top Topics

Magnetic Resonance

Convolutional Neural Networks

Top Venues

J. Vis. Commun. Image Represent.

Publications

Ruiwen Li, Zheda Mai, Zhibo Zhang, Jongseong Jang, Scott Sanner
TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation. J. Vis. Commun. Image Represent. 92 (2023)
Ruiwen Li, Zheda Mai, Chiheb Trabelsi, Zhibo Zhang, Jongseong Jang, Scott Sanner
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation. CoRR (2022)
Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. IJCAI (2022)
Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. CoRR (2022)
Zihan Zhang, Yeonjeong Jeong, Jongseong Jang, Chi-Guhn Lee
A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries. IEEE Trans. Ind. Informatics 18 (12) (2022)
Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. CoRR (2021)
Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. CoRR (2021)
Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. CoRR (2021)
Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. AAAI (2021)
Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring. CoRR (2021)
Changhwan Lee, Yeesuk Kim, Bong Gun Lee, Doosup Kim, Jongseong Jang
Look at here : Utilizing supervision to attend subtle key regions. CoRR (2021)
Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring. ICASSP (2021)
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI (2021)
Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. ICASSP (2021)
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR (2020)
Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Kostas N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. CoRR (2020)
Jihyeun Yoon, Kyungyul Kim, Jongseong Jang
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. ICCV Workshops (2019)
Jihyeun Yoon, Kyungyul Kim, Jongseong Jang
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. CoRR (2019)
Sara Park, Jongseong Jang, Jeesu Kim, Young Soo Kim, Chulhong Kim
Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans. IEEE Trans. Medical Imaging 36 (9) (2017)
Jongseong Jang, Hyung Wook Kim, Young Soo Kim
Co-segmentation of inter-subject brain magnetic resonance images. URAI (2014)
Jongseong Jang, Young Soo Kim
Safety management algorithm for telesurgical robot system for brain tumor surgery. ISR (2013)