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Jong Hwan Ko
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2020 – today
- 2025
- [j26]Yongsoo Kim
, Jaehyeon So
An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System With an Integrated Image Signal Processor for Indirect 3-D Time-of-Flight Sensors. IEEE Internet Things J. 12(2): 1817-1830 (2025) - [j25]Juhong Park
Input/mapping precision controllable digital CIM with adaptive adder tree architecture for flexible DNN inference. J. Syst. Archit. 159: 103327 (2025) - [i26]Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko:
Low-Rank Compression for IMC Arrays. CoRR abs/2502.07820 (2025) - [i25]Do Yeong Kang, Yeong Hwan Oh, Chanwook Hwang, Jinhee Kim, Kang Eun Jeon, Jong Hwan Ko:
MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures. CoRR abs/2502.07834 (2025) - [i24]Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko:
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators. CoRR abs/2502.07842 (2025) - [i23]Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Optimized Minimal 3D Gaussian Splatting. CoRR abs/2503.16924 (2025) - 2024
- [j24]Hyochan Kim
A DNN partitioning framework with controlled lossy mechanisms for edge-cloud collaborative intelligence. Future Gener. Comput. Syst. 154: 426-439 (2024) - [j23]Johnny Rhe
KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping. IEEE Trans. Circuits Syst. I Regul. Pap. 71(12): 6138-6151 (2024) - [c65]Hangyul Choi, Seongmoon Jeong, Sangwoon Kwak, Soon-Heung Jung, Jong Hwan Ko:
Adaptive Image Downscaling for Rate-Accuracy-Latency Optimization of Task-Target Image Compression. AICAS 2024: 347-351 - [c64]Kang Eun Jeon, Wooram Seo, Johnny Rhe, Jong Hwan Ko:
ConvMapSim: Modeling and Simulating Convolutional Weight Mapping for PIM Arrays. AICAS 2024: 417-421 - [c63]Chanwook Hwang, Jaehyeon So
An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN. AICAS 2024: 572-576 - [c62]Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CVPR 2024: 2274-2284 - [c61]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Representation for Radiance Field. CVPR 2024: 21719-21728 - [c60]Donghyeok Heo
TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training. DAC 2024: 332:1-332:6 - [c59]Wencan Cheng
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. ECCV (88) 2024: 35-52 - [c58]Joo Chan Lee
Continuous Memory Representation for Anomaly Detection. ECCV (51) 2024: 438-454 - [c57]Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park:
Coordinate-Aware Modulation for Neural Fields. ICLR 2024 - [c56]Changrok So, Simon S. Woo, Jong Hwan Ko:
DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection. IJCNN 2024: 1-9 - [c55]Juhong Park, Johnny Rhe, Jong Hwan Ko:
KARS: Kernel-Grouping Aided Row-Skipping for SDK-based Weight Compression in PIM Arrays. ISCAS 2024: 1-5 - [c54]Jaehyeon So
A Hybrid Precision Network with Efficient Processing Elements for 3D Hand Pose Estimation. ISOCC 2024: 372-373 - [c53]Johnny Rhe, Jong Hwan Ko:
Row-Efficient Pruning for In-Memory Convolutional Weight Mapping. ISOCC 2024: 378-379 - [c52]Juhong Park, Jong Hwan Ko:
C-AFA: A Conditionally Approximate Full Adder for Efficient DNN Inference in CIM Arrays. ISOCC 2024: 382-383 - [c51]Xiangyu Sun
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. ACM Multimedia 2024: 7957-7965 - [c50]Hadi Amirpour, Lingfeng Qu, Jong Hwan Ko, Cosmin Stejerean, Christian Timmerer:
Energy-Efficient Video Streaming: A Study on Bit Depth and Color Subsampling. VCIP 2024: 1-5 - [i22]Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. CoRR abs/2402.14196 (2024) - [i21]Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko:
Continuous Memory Representation for Anomaly Detection. CoRR abs/2402.18293 (2024) - [i20]Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR abs/2404.03159 (2024) - [i19]Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park:
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. CoRR abs/2405.17083 (2024) - [i18]Wencan Cheng, Eunji Kim, Jong Hwan Ko:
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. CoRR abs/2407.20542 (2024) - [i17]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields. CoRR abs/2408.03822 (2024) - [i16]Yiying Wei, Hadi Amirpour, Jong Hwan Ko, Christian Timmerer:
EPS: Efficient Patch Sampling for Video Overfitting in Deep Super-Resolution Model Training. CoRR abs/2411.16312 (2024) - 2023
- [j22]Changrok So, Young-Shin Kim, Jong Hyuk Park, Gwan-Yeong Kim, Daniel Cha, Jong Hwan Ko, Boseok Kang
Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites. Adv. Intell. Syst. 5(2) (2023) - [j21]Changrok So, Young-Shin Kim, Jong Hyuk Park
Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites. Adv. Intell. Syst. 5(2) (2023) - [j20]Sang Hoon Kim
Adaptive Channel Scheduling for Acceleration and Fine Control of RNN-Based Image Compression. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(9): 1211-1215 (2023) - [j19]Seonghye Jeong, Seongmoon Jeong, Simon S. Woo
An overhead-free region-based JPEG framework for task-driven image compression. Pattern Recognit. Lett. 165: 1-8 (2023) - [j18]Jae Hyun Park
Scalable Color Quantization for Task-centric Image Compression. ACM Trans. Multim. Comput. Commun. Appl. 19(2s): 82:1-82:18 (2023) - [c49]Gyudo Park, Soohyeok Kang, Wencan Cheng, Jong Hwan Ko:
Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy. CVPR Workshops 2023: 4725-4729 - [c48]Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee
Masked Wavelet Representation for Compact Neural Radiance Fields. CVPR 2023: 20680-20690 - [c47]TaeSoo Kim, Daniel Rho, Gahui Lee, JaeHan Park, Jong Hwan Ko:
Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation. ICASSP 2023: 1-5 - [c46]Johnny Rhe, Kang Eun Jeon, Joo Chan Lee, Seongmoon Jeong, Jong Hwan Ko:
Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays. ICCAD 2023: 1-9 - [c45]Hyeonsu Bang, Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko:
DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays. ICCD 2023: 491-494 - [c44]Wencan Cheng, Jong Hwan Ko:
Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation. ICCV 2023: 10007-10016 - [c43]Wencan Cheng, Jong Hwan Ko:
HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network. ICCV 2023: 20847-20856 - [c42]Seongmoon Jeong, Kang Eun Jeon, Jong Hwan Ko:
Rate-Controllable and Target-Dependent JPEG-Based Image Compression Using Feature Modulation. ICME Workshops 2023: 164-169 - [c41]Kang Eun Jeon, Johnny Rhe, Hyeonsu Bang, Jong Hwan Ko:
Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. ISLPED 2023: 1-6 - [c40]Johnny Rhe, Kang Eun Jeon, Jong Hwan Ko:
PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures. ISLPED 2023: 1-6 - [c39]Joo Chan Lee
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. ACM Multimedia 2023: 7859-7870 - [c38]Jaehyeon So
An Energy Efficient Sorting Architecture with Cell-Gating for Top-K Sorting on FPGA. MWSCAS 2023: 501-505 - [c37]Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. NeurIPS 2023 - [i15]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Representation for Radiance Field. CoRR abs/2311.13681 (2023) - [i14]Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park:
Coordinate-Aware Modulation for Neural Fields. CoRR abs/2311.14993 (2023) - 2022
- [j17]Hoyong Jin
Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU. IEEE Comput. Archit. Lett. 21(2): 37-40 (2022) - [j16]Johnny Rhe
VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 408-421 (2022) - [j15]Joo Chan Lee
A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection. IEEE Internet Things J. 9(23): 23390-23404 (2022) - [j14]Jaehun Jang, Jong Hwan Ko
Adaptive weight-bit inversion for state error reduction for robust and efficient deep neural network inference using MLC NAND Flash. J. Syst. Archit. 124: 102400 (2022) - [j13]Hasam Khalid
ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment. Neural Process. Lett. 54(3): 1565-1586 (2022) - [c36]Daniel Rho
Neural Residual Flow Fields for Efficient Video Representations. ACCV (2) 2022: 458-474 - [c35]Johnny Rhe, Sungmin Moon, Jong Hwan Ko:
VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. DATE 2022: 214-219 - [c34]Wencan Cheng
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. ECCV (28) 2022: 108-124 - [c33]Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Streamable Neural Fields. ECCV (20) 2022: 595-612 - [c32]Taesoo Kim, Jiho Chang, Jong Hwan Ko:
ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection. ICASSP 2022: 7327-7331 - [c31]Daniel Rho, Jinhyeok Park, Jong Hwan Ko:
NAS-VAD: Neural Architecture Search for Voice Activity Detection. INTERSPEECH 2022: 3754-3758 - [c30]Jaehyeon So
An Efficient Systolic Array with Variable Data Precision and Dimension Support. ISOCC 2022: 257-258 - [i13]Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park:
Neural Residual Flow Fields for Efficient Video Representations. CoRR abs/2201.04329 (2022) - [i12]Daniel Rho, Jinhyeok Park, Jong Hwan Ko:
NAS-VAD: Neural Architecture Search for Voice Activity Detection. CoRR abs/2201.09032 (2022) - [i11]Wencan Cheng, Jong Hwan Ko:
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. CoRR abs/2207.07522 (2022) - [i10]Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Streamable Neural Fields. CoRR abs/2207.09663 (2022) - [i9]Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Masked Wavelet Representation for Compact Neural Radiance Fields. CoRR abs/2212.09069 (2022) - [i8]Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. CoRR abs/2212.12294 (2022) - 2021
- [j12]Wencan Cheng, Jong Hwan Ko
Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud. IEEE Access 9: 52977-52986 (2021) - [j11]Sang Hoon Kim
Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network. IEEE Access 9: 119418-119429 (2021) - [j10]Teerath Kumar
Binary-Classifiers-Enabled Filters for Semi-Supervised Learning. IEEE Access 9: 167663-167673 (2021) - [j9]Jeongsoo Park
Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things. Sensors 21(3): 896 (2021) - [j8]Eunyoung Lee
A Charge-Domain Scalable-Weight In-Memory Computing Macro With Dual-SRAM Architecture for Precision-Scalable DNN Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 68(8): 3305-3316 (2021) - [c29]Joo Chan Lee
A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference. AVSS 2021: 1-8 - [c28]Jaehun Jang, Jong Hwan Ko:
WISER: Deep Neural Network Weight-bit Inversion for State Error Reduction in MLC NAND Flash. DATE 2021: 735-738 - [c27]Gicheol Shin, Donguk Seo
A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions. ESSCIRC 2021: 123-126 - [c26]Gicheol Shin, Donguk Seo, Jaerok Kim, Johnny Rhe, Eunyoung Lee, Seonho Kim, Soyoun Jeong, Jong Hwan Ko, Yoonmyung Lee:
A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions. ESSDERC 2021: 123-126 - [c25]Sungmin Moon, Chao Zhang, Sooill Park, Hui Zhang, Woo-Shik Kim, Jong Hwan Ko:
A Sub-Milliwatt and Sub-Millisecond 3-D Gaze Estimator for Ultra Low-Power AR Applications. UbiComp/ISWC Adjunct 2021: 481-485 - [c24]Wencan Cheng, Jae Hyun Park, Jong Hwan Ko:
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. ICCV 2021: 11240-11249 - [c23]Ji Sub Choi, Jungrae Kim, Jong Hwan Ko:
A Weight-Sharing Autoencoder with Dynamic Quantization for Efficient Feature Compression. ICTC 2021: 1111-1113 - [c22]Jeong Yeop Yoo, Jong Hwan Ko:
Acceleration of DNN-Based Video Object Detection Using Temporal Dependency of the Object Size. ICTC 2021: 1182-1184 - [c21]Sooill Park, Jong Hwan Ko:
Robust Inspection of Micro-LED Chip Defects Using Unsupervised Anomaly Detection. ICTC 2021: 1841-1843 - [c20]TaeSoo Kim, Jong Hwan Ko:
Application of Adversarial Domain Adaptation to Voice Activity Detection. IntelliSys (3) 2021: 823-829 - [i7]Wencan Cheng, Jae Hyun Park, Jong Hwan Ko:
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. CoRR abs/2108.05545 (2021) - [i6]Johnny Rhe, Sungmin Moon, Jong Hwan Ko:
VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. CoRR abs/2112.11282 (2021) - 2020
- [c19]Jae Hyun Park
Dual-Precision Deep Neural Network. AIPR 2020: 30-34 - [c18]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [i5]Jae Hyun Park, Ji Sub Choi, Jong Hwan Ko:
Dual Precision Deep Neural Network. CoRR abs/2009.02191 (2020)
2010 – 2019
- 2019
- [j7]Burhan Ahmad Mudassar
CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(3): 498-508 (2019) - [j6]Arvind Singh
Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes. IEEE Internet Things J. 6(1): 421-434 (2019) - [j5]Jong Hwan Ko
Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(1): 109-121 (2019) - [c17]Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Mohammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, Saibal Mukhopadhyay:
A Camera with Brain - Embedding Machine Learning in 3D Sensors. DATE 2019: 680-685 - [c16]Taesik Na, Minah Lee
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. IJCNN 2019: 1-7 - [i4]Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay:
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. CoRR abs/1904.12426 (2019) - 2018
- [b1]Jong Hwan Ko:
Resource-aware and robust image processing for intelligent sensor systems. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [j4]Jong Hwan Ko
An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(3): 591-602 (2018) - [c15]Jong Hwan Ko, Taesik Na, Mohammad Faisal Amir, Saibal Mukhopadhyay:
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. AVSS 2018: 1-6 - [c14]Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay:
Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance. DAC 2018: 146:1-146:6 - [c13]Saibal Mukhopadhyay, Marilyn Wolf, Mohammed Faisal Amir, Evan Gebhardt, Jong Hwan Ko, Jaeha Kung
The CAMEL approach to stacked sensor smart cameras. DATE 2018: 1299-1303 - [c12]Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar:
Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. ICASSP 2018: 2236-2240 - [c11]Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay:
An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation. ICASSP 2018: 2671-2675 - [c10]Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay:
Cascade Adversarial Machine Learning Regularized with a Unified Embedding. ICLR (Poster) 2018 - [i3]Jong Hwan Ko, Taesik Na, Mohammad Faisal Amir, Saibal Mukhopadhyay:
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. CoRR abs/1802.03835 (2018) - 2017
- [j3]Jong Hwan Ko
A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2295-2307 (2017) - [j2]Taesik Na
Clock Data Compensation Aware Digital Circuits Design for Voltage Margin Reduction. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2401-2413 (2017) - [c9]Jong Hwan Ko, Burhan Ahmad Mudassar, Taesik Na, Saibal Mukhopadhyay:
Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation. DAC 2017: 59:1-59:6 - [c8]Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung
Adaptive weight compression for memory-efficient neural networks. DATE 2017: 199-204 - [c7]Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay:
Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. DATE 2017: 1504-1509 - [c6]Taesik Na, Jong Hwan Ko, Jaeha Kung
On-chip training of recurrent neural networks with limited numerical precision. IJCNN 2017: 3716-3723 - [c5]Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung
Energy-efficient neural image processing for Internet-of-Things edge devices. MWSCAS 2017: 1069-1072 - [i2]Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay:
Cascade Adversarial Machine Learning Regularized with a Unified Embedding. CoRR abs/1708.02582 (2017) - [i1]Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar:
Precision Scaling of Neural Networks for Efficient Audio Processing. CoRR abs/1712.01340 (2017) - 2016
- [c4]Jong Hwan Ko, Taesik Na, Saibal Mukhopadhyay:
An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance. AVSS 2016: 138-144 - [c3]Khondker Zakir Ahmed, Mohammad Faisal Amir, Jong Hwan Ko, Saibal Mukhopadhyay:
Reconfigurable 96×128 active pixel sensor with 2.1µW/mm2 power generation and regulated multi-domain power delivery for self-powered imaging. ESSCIRC 2016: 507-510 - [c2]Jong Hwan Ko, Saibal Mukhopadhyay:
An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms. ISLPED 2016: 194-199 - 2015
- [j1]Jong Hwan Ko, Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance. IEEE Trans. Multi Scale Comput. Syst. 1(1): 7-18 (2015) - [c1]Arvind Singh, Monodeep Kar, Jong Hwan Ko, Saibal Mukhopadhyay:
Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators. ISLPED 2015: 134-139
Coauthor Index
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