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Journal Articles
- 2024
[j6]Iksoo Shin
, Changsik Cho, Seon-Tae Kim:
Method for Expanding Search Space With Hybrid Operations in DynamicNAS. IEEE Access 12: 10242-10253 (2024)- 2015
- [j5]HyeongYeop Kang, Han-Young Jang, Chang-Sik Cho, JungHyun Han:
Multi-resolution terrain rendering with GPU tessellation. Vis. Comput. 31(4): 455-469 (2015) - 2012
- [j4]Young-Min Kang, Chang-Sik Cho:
Photorealistic cloth in real-time applications. Comput. Animat. Virtual Worlds 23(3-4): 253-265 (2012) - 2009
- [j3]Seon-Tae Kim, Krishna Reddy Konda, Chun-Su Park, Chang-Sik Cho, Sung-Jea Ko:
Fast mode decision algorithm for inter-layer coding in scalable video coding. IEEE Trans. Consumer Electron. 55(3): 1572-1580 (2009) - 2008
- [j2]Jinwuk Seok, Jeong-Woo Lee, Chang-Sik Cho:
Fast block mode decision algorithm in H.264/AVC using a filter bank of Kalman filters for high definition encoding. Multim. Syst. 13(5-6): 391-408 (2008) - 2007
- [j1]Jong-Ho Kim, Byung-Gyu Kim, Chang-Sik Cho:
Fast Intra-Mode Prediction Algorithm in H.264/AVC Video Coding. IEICE Trans. Inf. Syst. 90-D(8): 1320-1323 (2007)
Conference and Workshop Papers
- 2023
- [c17]Jinwuk Seok, Changsik Cho:
Quantization-based Optimization with Perspective of Quantum Mechanics. ICTC 2023: 177-180 - [c16]Jaebok Park, Changsik Cho, Kyunghee Lee, Jiyoung Kwak:
A Method on Neural Network Optimization Deployment Frameworks for Lightweight Target Devices. ICTC 2023: 1286-1288 - [c15]Kyung Hee Lee, Ji-Young Kwak, Jaebok Park, Hong Soog Kim, Seon-Tae Kim, Chang-Sik Cho:
Neural Network Model Transformation Framework for On-Devices. ICTC 2023: 1316-1318 - 2022
- [c14]Jinwuk Seok, Chang-Sik Cho:
Stochastic Differential Equation of the Quantization based Optimization. ICTC 2022: 233-235 - [c13]Kyung-Hee Lee, Jaebok Park, Seon-Tae Kim, Ji-Young Kwak, Chang-Sik Cho:
Design of Neural Network Model Converting Framework based on NNEF. ICTC 2022: 1741-1743 - [c12]Jaebok Park, Kyung-Hee Lee, Ji-Young Kwak, Chang-Sik Cho:
Deployment Framework Design Techniques for Optimized Neural Network Applications. ICTC 2022: 2312-2314 - 2021
- [c11]Young-Woon Lee, Young Jin Heo, Chang-Sik Cho, Byung-Gyu Kim:
Open-CL based Multi GPU Acceleration for Video Object Detection. ICCE 2021: 1-3 - [c10]Kyung-Hee Lee, Jaebok Park, Seon-Tae Kim, Ji-Young Kwak, Chang-Sik Cho:
Design of NNEF-PyTorch Neural Network Model Converter. ICTC 2021: 1710-1712 - 2020
- [c9]KyungHee Lee, Jaebok Park, Seung-mok Yoo, Seok Jin Yoon, Chang-Sik Cho:
An Implementation of NNEF-Darknet Neural Network Model Converter. ICTC 2020: 1186-1188 - 2019
- [c8]Seung-mok Yoo, Chang-Sik Cho, KyungHee Lee, Jaebok Park, Seok Jin, Young-Woon Lee, Byung-Gyu Kim:
Structure of Deep Learning Inference Engines for Embedded Systems. ICTC 2019: 920-922 - 2009
- [c7]Seon-Tae Kim, Krishna Reddy Konda, Chang-Sik Cho:
Fast Mode Decision Algorithm for Spatial and SNR Scalable Video Coding. ISCAS 2009: 872-875 - 2008
- [c6]Byung-Gyu Kim, Chang-Sik Cho, Tae-Jeong Kim:
Fast selective-intra mode search algorithm based on macro-block tracking for inter-frames in the H.264/AVC video standard. ISCAS 2008: 3502-3505 - 2007
- [c5]Byung-Gyu Kim, Chang-Sik Cho:
A Fast Inter-Mode Decision Algorithm Based on Macro-Block Tracking for P Slices in the H.264/AVC Video Standard. ICIP (5) 2007: 301-304 - [c4]Jong-Ho Kim, Byung-Gyu Kim, Chang-Sik Cho:
Distortion-Based Partial Distortion Search for Fast Motion Estimation. ICME 2007: 1599-1602 - 2006
- [c3]Byung-Gyu Kim, Suk-Kyu Song, Chang-Sik Cho:
Efficient Inter-Mode Decision Based on Contextual Prediction for the P-Slice in H.264/AVC Video Coding. ICIP 2006: 1333-1336 - [c2]Jong-Ho Kim, Byung-Gyu Kim, Suk-Kyu Song, Chang-Sik Cho:
A Directional & Adaptive Diamond Search by Adaptive Pattern Switching with a Predicted Motion Vector. ICIP 2006: 2357-2360 - [c1]Jinwuk Seok, Jeong-Woo Lee, Chang-Sik Cho:
The differential structure of sub pixels interpolated from integer pixels using n-tab FIR filters for high definition H.264 video encoding. ACM Multimedia 2006: 667-670
Informal and Other Publications
- 2023
- [i3]Jinwuk Seok, Chang-Sik Cho:
Stochastic Gradient Langevin Dynamics Based on Quantized Optimization. CoRR abs/2305.18864 (2023) - [i2]Jinwuk Seok, Chang-Sik Cho:
Quantization-based Optimization with Perspective of Quantum Mechanics. CoRR abs/2308.11594 (2023) - 2022
- [i1]Jinwuk Seok, Chang-Sik Cho:
Quantization-Based Optimization: Alternative Stochastic Approximation of Global Optimization. CoRR abs/2211.03972 (2022)
Coauthor Index
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