Jong Hwan Ko

Orcid: 0000-0003-4434-4318

According to our database1, Jong Hwan Ko authored at least 84 papers between 2015 and 2024.

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Bibliography

2024
A DNN partitioning framework with controlled lossy mechanisms for edge-cloud collaborative intelligence.
Future Gener. Comput. Syst., 2024

Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields.
CoRR, 2024

HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation.
CoRR, 2024

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

KARS: Kernel-Grouping Aided Row-Skipping for SDK-based Weight Compression in PIM Arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Coordinate-Aware Modulation for Neural Fields.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Continuous Memory Representation for Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Compact 3D Gaussian Representation for Radiance Field.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ConvMapSim: Modeling and Simulating Convolutional Weight Mapping for PIM Arrays.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

Adaptive Image Downscaling for Rate-Accuracy-Latency Optimization of Task-Target Image Compression.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Adaptive Channel Scheduling for Acceleration and Fine Control of RNN-Based Image Compression.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., September, 2023

Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites.
Adv. Intell. Syst., February, 2023

An overhead-free region-based JPEG framework for task-driven image compression.
Pattern Recognit. Lett., January, 2023

Scalable Color Quantization for Task-centric Image Compression.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Energy Efficient Sorting Architecture with Cell-Gating for Top-K Sorting on FPGA.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Rate-Controllable and Target-Dependent JPEG-Based Image Compression Using Feature Modulation.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

HandR<sup>2</sup>N<sup>2</sup>: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Masked Wavelet Representation for Compact Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment.
Neural Process. Lett., 2022

Adaptive weight-bit inversion for state error reduction for robust and efficient deep neural network inference using MLC NAND Flash.
J. Syst. Archit., 2022

A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection.
IEEE Internet Things J., 2022

VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU.
IEEE Comput. Archit. Lett., 2022

An Efficient Systolic Array with Variable Data Precision and Dimension Support.
Proceedings of the 19th International SoC Design Conference, 2022

NAS-VAD: Neural Architecture Search for Voice Activity Detection.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Streamable Neural Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Neural Residual Flow Fields for Efficient Video Representations.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
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., 2021

Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things.
Sensors, 2021

Binary-Classifiers-Enabled Filters for Semi-Supervised Learning.
IEEE Access, 2021

Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network.
IEEE Access, 2021

Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud.
IEEE Access, 2021

Application of Adversarial Domain Adaptation to Voice Activity Detection.
Proceedings of the Intelligent Systems and Applications, 2021

Acceleration of DNN-Based Video Object Detection Using Temporal Dependency of the Object Size.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Robust Inspection of Micro-LED Chip Defects Using Unsupervised Anomaly Detection.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

A Weight-Sharing Autoencoder with Dynamic Quantization for Efficient Feature Compression.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Sub-Milliwatt and Sub-Millisecond 3-D Gaze Estimator for Ultra Low-Power AR Applications.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

WISER: Deep Neural Network Weight-bit Inversion for State Error Reduction in MLC NAND Flash.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020

Dual-Precision Deep Neural Network.
Proceedings of the AIPR 2020: 3rd International Conference on Artificial Intelligence and Pattern Recognition, 2020

2019
Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes.
IEEE Internet Things J., 2019

CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Camera with Brain - Embedding Machine Learning in 3D Sensors.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Cascade Adversarial Machine Learning Regularized with a Unified Embedding.
Proceedings of the 6th International Conference on Learning Representations, 2018

An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The CAMEL approach to stacked sensor smart cameras.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance.
Proceedings of the 55th Annual Design Automation Conference, 2018

Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017
Clock Data Compensation Aware Digital Circuits Design for Voltage Margin Reduction.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Precision Scaling of Neural Networks for Efficient Audio Processing.
CoRR, 2017

Energy-efficient neural image processing for Internet-of-Things edge devices.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

On-chip training of recurrent neural networks with limited numerical precision.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Adaptive weight compression for memory-efficient neural networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation.
Proceedings of the 54th Annual Design Automation Conference, 2017

2016
An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Reconfigurable 96×128 active pixel sensor with 2.1µW/mm<sup>2</sup> power generation and regulated multi-domain power delivery for self-powered imaging.
Proceedings of the ESSCIRC Conference 2016: 42<sup>nd</sup> European Solid-State Circuits Conference, 2016

An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance.
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015
An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance.
IEEE Trans. Multi Scale Comput. Syst., 2015

Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015


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