Sung-Ho Bae

Orcid: 0000-0003-2677-3186

According to our database1, Sung-Ho Bae authored at least 77 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Give me a hint: an explicit prior based image denoising.
Signal Image Video Process., December, 2024

ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting.
CoRR, 2024

Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning.
CoRR, 2024

Revisiting Learning-based Video Motion Magnification for Real-time Processing.
CoRR, 2024

Dissecting Mixed-Sample Data Augmentation Models via Neural-concept Association.
Proceedings of the International Conference on Information Networking, 2024

Efficient and Effective INR: A Dive into Levels-of-Experts (LoE) and Sine Activation.
Proceedings of the International Conference on Information Networking, 2024

G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs.
Proceedings of the IEEE International Conference on Acoustics, 2024

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FROD: Robust Object Detection for Free.
CoRR, 2023

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.
CoRR, 2023

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering.
CoRR, 2023

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era.
CoRR, 2023

Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples.
CoRR, 2023

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected.
CoRR, 2023

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR, 2023

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material.
CoRR, 2023

Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability.
CoRR, 2023

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI.
CoRR, 2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
CoRR, 2023

Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation.
IEEE Access, 2023

A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding.
IEEE Access, 2023

Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective.
IEEE Access, 2023

Exploring the Optimal Bit Pair for a Quantized Generator and Discriminator.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Towards Efficient Image Compression Without Autoregressive Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations.
IEEE Trans. Affect. Comput., 2022

A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms.
IEEE Access, 2022

Visual Interpretation of CNN Prediction Through Layerwise Sequential Selection of Discernible Neurons.
IEEE Access, 2022

DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module.
IEEE Access, 2022

A Survey on Efficient Methods for Adversarial Robustness.
IEEE Access, 2022

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GLAMD: Global and Local Attention Mask Distillation for Object Detectors.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Revisiting Internal Covariate Shift for Batch Normalization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images.
IEEE J. Biomed. Health Informatics, 2021

A Feature Fusion Based Indicator for Training-Free Neural Architecture Search.
IEEE Access, 2021

Compressing Neural Networks With Inter Prediction and Linear Transformation.
IEEE Access, 2021

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

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation.
IEEE Access, 2021

A Layer-Wise Extreme Network Compression for Super Resolution.
IEEE Access, 2021

Dynamic Structured Pruning With Novel Filter Importance and Leaky Masking Based on Convolution and Batch Normalization Parameters.
IEEE Access, 2021

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Distilling Global and Local Logits with Densely Connected Relations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness for Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation.
Inf. Sci., 2020

Ultra Lightweight Image Super-Resolution with Multi-Attention Layers.
CoRR, 2020

Towards an Adversarially Robust Normalization Approach.
CoRR, 2020

Cost-Efficient Super-Resolution Hardware Using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion.
IEEE Access, 2020

ERDNN: Error-Resilient Deep Neural Networks With a New Error Correction Layer and Piece-Wise Rectified Linear Unit.
IEEE Access, 2020

Effective Utilization of Hybrid Residual Modules in Deep Neural Networks for Super Resolution.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020


Multi-attention Based Ultra Lightweight Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.
Int. J. Medical Informatics, 2019

An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis.
CoRR, 2019

Hybrid Residual Attention Network for Single Image Super Resolution.
CoRR, 2019

New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms.
CoRR, 2019

A Perceptually Inspired New Blind Image Denoising Method Using L<sub>1</sub> and Perceptual Loss.
IEEE Access, 2019

HRAN: Hybrid Residual Attention Network for Single Image Super-Resolution.
IEEE Access, 2019

2018
Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding.
IEEE Trans. Image Process., 2018

Display in the Wild (DIW): An Adaptive Projection-Imaging System to Screen Geometry in Real Time.
Sensors, 2018

2017
A DCT-Based Total JND Profile for Spatiotemporal and Foveated Masking Effects.
IEEE Trans. Circuits Syst. Video Technol., 2017

2016
HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model.
IEEE Trans. Image Process., 2016

DCT-QM: A DCT-Based Quality Degradation Metric for Image Quality Optimization Problems.
IEEE Trans. Image Process., 2016

A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception.
IEEE Trans. Image Process., 2016

Image super-resolution based on convolution neural networks using multi-channel input.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

2015
An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels.
IEEE Trans. Circuits Syst. Video Technol., 2015

A novel SSIM index for image quality assessment using a new luminance adaptation effect model in pixel intensity domain.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

A novel image quality assessment based on an adaptive feature for image characteristics and distortion types.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Single image super-resolution based on self-examples using context-dependent subpatches.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation.
Proceedings of the Computational Imaging XIII, 2015

2014
A Novel Generalized DCT-Based JND Profile Based on an Elaborate CM-JND Model for Variable Block-Sized Transforms in Monochrome Images.
IEEE Trans. Image Process., 2014

Object tracking based on online partial instance learning with multiple local strong classifiers.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Assessments of Subjective Video Quality on HEVC-Encoded 4K-UHD Video for Beyond-HDTV Broadcasting Services.
IEEE Trans. Broadcast., 2013

A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency.
IEEE Signal Process. Lett., 2013

2011
A high stability DC-DC Boost Converter with Ripple Current Control and capacitor-free LDOs for AMOLED display.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2011

2008
Mobile 3D Game Contents Watermarking Based on Buyer-Seller Watermarking Protocol.
IEICE Trans. Inf. Syst., 2008

1994
Color Image Enhancement Based on Land's Color Constancy Algorithm.
Proceedings of the 2nd Color and Imaging Conference, 1994


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