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Jung-Woo Chang
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2020 – today
- 2023
- [j8]Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar:
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19(1): 7:1-7:20 (2023) - [c8]Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar:
VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. DAC 2023: 1-6 - [c7]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. NDSS 2023 - [i6]Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. CoRR abs/2304.01441 (2023) - [i5]Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar:
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. CoRR abs/2311.00207 (2023) - 2022
- [i4]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. CoRR abs/2203.10183 (2022) - 2020
- [j7]Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang:
An Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 30(1): 281-295 (2020) - [c6]Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang:
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. ASP-DAC 2020: 283-288 - [c5]Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang:
An Efficient Accelerator Design Methodology For Deformable Convolutional Networks. ICIP 2020: 3075-3079 - [i3]Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang:
An Efficient Accelerator Design Methodology for Deformable Convolutional Networks. CoRR abs/2006.05238 (2020)
2010 – 2019
- 2019
- [c4]Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang:
SDCNN: An Efficient Sparse Deconvolutional Neural Network Accelerator on FPGA. DATE 2019: 968-971 - [i2]Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang:
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. CoRR abs/1911.06918 (2019) - 2018
- [c3]Jung-Woo Chang, Suk-Ju Kang:
Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution. ASP-DAC 2018: 343-348 - [i1]Jung-Woo Chang, Suk-Ju Kang:
On-Chip CNN Accelerator for Image Super-Resolution. CoRR abs/1801.05997 (2018) - 2017
- [c2]Jung-Woo Chang, Suk-Ju Kang, Min-Woo Seo, Song-Woo Choi, Sang-Lyn Lee, Ho-Chul Lee, Eui Yeol Oh, Jong-Sang Baek:
Real-time temporal quality compensation technique for head mounted displays. SIGGRAPH ASIA (Posters) 2017: 5:1-5:2 - 2011
- [j6]Jung-Woo Chang, Yi-King Choi, Myung-Soo Kim, Wenping Wang:
Computation of the minimum distance between two Bézier curves/surfaces. Comput. Graph. 35(3): 677-684 (2011) - 2010
- [j5]Jung-Woo Chang, Wenping Wang, Myung-Soo Kim:
Efficient collision detection using a dual OBB-sphere bounding volume hierarchy. Comput. Aided Des. 42(1): 50-57 (2010)
2000 – 2009
- 2009
- [j4]Jung-Woo Chang, Myung-Soo Kim:
Efficient triangle-triangle intersection test for OBB-based collision detection. Comput. Graph. 33(3): 235-240 (2009) - [j3]Myung Geol Choi, Eunjung Ju, Jung-Woo Chang, Jehee Lee, Young J. Kim:
Linkless Octree Using Multi-Level Perfect Hashing. Comput. Graph. Forum 28(7): 1773-1780 (2009) - [j2]Yi-King Choi, Jung-Woo Chang, Wenping Wang, Myung-Soo Kim, Gershon Elber:
Continuous Collision Detection for Ellipsoids. IEEE Trans. Vis. Comput. Graph. 15(2): 311-325 (2009) - 2008
- [c1]Jung-Woo Chang, Wenping Wang, Myung-Soo Kim:
Efficient Collision Detection Using a Dual Bounding Volume Hierarchy. GMP 2008: 143-154 - 2005
- [j1]Dae-Eun Hyun, Seung-Hyun Yoon, Jung-Woo Chang, Joon-Kyung Seong, Myung-Soo Kim, Bert Jüttler:
Sweep-based human deformation. Vis. Comput. 21(8-10): 542-550 (2005)
Coauthor Index
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