Jung-Woo Chang

According to our database, Jung-Woo Chang authored at least 20 papers between 2005 and 2023.

Collaborative distances:

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

2023

AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks.

Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar

ACM J. Emerg. Technol. Comput. Syst., January, 2023

Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems.

Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar

CoRR, 2023

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression.

Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

CoRR, 2023

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression.

Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality.

Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems.

Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

CoRR, 2022

2020

An Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution.

Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang

IEEE Trans. Circuits Syst. Video Technol., 2020

An Efficient Accelerator Design Methodology For Deformable Convolutional Networks.

Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang

Proceedings of the IEEE International Conference on Image Processing, 2020

Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs.

Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

SDCNN: An Efficient Sparse Deconvolutional Neural Network Accelerator on FPGA.

Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

On-Chip CNN Accelerator for Image Super-Resolution.

Jung-Woo Chang, Suk-Ju Kang

CoRR, 2018

Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution.

Jung-Woo Chang, Suk-Ju Kang

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

Real-time temporal quality compensation technique for head mounted displays.

Jung-Woo Chang, Suk-Ju Kang, Min-Woo Seo, Song-Woo Choi, Sang-Lyn Lee, Ho-Chul Lee, Eui Yeol Oh, Jong-Sang Baek

Proceedings of the SIGGRAPH Asia 2017 Posters, Bangkok, Thailand, November 27 - 30, 2017, 2017

2011

Computation of the minimum distance between two Bézier curves/surfaces.

Jung-Woo Chang, Yi-King Choi, Myung-Soo Kim, Wenping Wang

Comput. Graph., 2011

2010

Efficient collision detection using a dual OBB-sphere bounding volume hierarchy.

Jung-Woo Chang, Wenping Wang, Myung-Soo Kim

Comput. Aided Des., 2010

2009

Continuous Collision Detection for Ellipsoids.

Yi-King Choi, Jung-Woo Chang, Wenping Wang, Myung-Soo Kim, Gershon Elber

IEEE Trans. Vis. Comput. Graph., 2009

Linkless Octree Using Multi-Level Perfect Hashing.

Myung Geol Choi, Eunjung Ju, Jung-Woo Chang, Jehee Lee, Young J. Kim

Comput. Graph. Forum, 2009

Efficient triangle-triangle intersection test for OBB-based collision detection.

Jung-Woo Chang, Myung-Soo Kim

Comput. Graph., 2009

2008

Efficient Collision Detection Using a Dual Bounding Volume Hierarchy.

Jung-Woo Chang, Wenping Wang, Myung-Soo Kim

Proceedings of the Advances in Geometric Modeling and Processing, 2008

2005

Sweep-based human deformation.

Dae-Eun Hyun, Seung-Hyun Yoon, Jung-Woo Chang, Joon-Kyung Seong, Myung-Soo Kim, Bert Jüttler

Vis. Comput., 2005