Nojun Kwak

Orcid: 0000-0002-1792-0327

According to our database1, Nojun Kwak authored at least 188 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Deep Support Vectors.
CoRR, 2024

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization.
CoRR, 2024

HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering.
CoRR, 2024

Mitigating the Bias in the Model for Continual Test-Time Adaptation.
CoRR, 2024

Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition.
CoRR, 2024

Fast Sun-aligned Outdoor Scene Relighting based on TensoRF.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Any-Way Meta Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Image Recommendation System Based on Environmental and Human Face Information.
Sensors, 2023

What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
CoRR, 2023

Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features.
CoRR, 2023

SAVE: Protagonist Diversification with Structure Agnostic Video Editing.
CoRR, 2023

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning.
CoRR, 2023

ConcatPlexer: Additional Dim1 Batching for Faster ViTs.
CoRR, 2023

Advancing Beyond Identification: Multi-bit Watermark for Language Models.
CoRR, 2023

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion.
CoRR, 2023

Robust Natural Language Watermarking through Invariant Features.
CoRR, 2023

Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency.
CoRR, 2023

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance.
CoRR, 2023

Correlation-Concealing Adversarial Noise Injection for Improved Disentanglement in Label-Based Image Translation.
IEEE Access, 2023

Dual-Stage Super-Resolution for Edge Devices.
IEEE Access, 2023

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-Distilled Self-supervised Representation Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

MDPose: real-time multi-person pose estimation via mixture density model.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

End-to-End Multi-Object Detection with a Regularized Mixture Model.
Proceedings of the International Conference on Machine Learning, 2023

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation.
Proceedings of the IEEE International Conference on Acoustics, 2023

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Multi-bit Natural Language Watermarking through Invariant Features.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unifying Vision-Language Representation Space with Single-Tower Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reliable Data Collection Methodology for Face Recognition in Preschool Children.
Sensors, 2022

Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis.
CoRR, 2022

Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching.
CoRR, 2022

Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation.
CoRR, 2022

Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation.
CoRR, 2022

Model Compression via Position-Based Scaled Gradient.
IEEE Access, 2022

MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds.
IEEE Access, 2022

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Few-Shot Object Detection by Attending to Per-Sample-Prototype.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Korean Language Modeling via Syntactic Guide.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

The U-Net based GLOW for Optical-Flow-Free Video Interframe Generation.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Variational On-the-Fly Personalization.
Proceedings of the International Conference on Machine Learning, 2022

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box.
Proceedings of the Computer Vision - ECCV 2022, 2022

Few-Shot Image Generation with Mixup-Based Distance Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

MatteFormer: Transformer-Based Image Matting via Prior-Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Imposing Consistency for Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Efficient Neural Scene Graphs by Learning Consistency Fields.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks.
Sensors, 2021

Self-Distilled Self-Supervised Representation Learning.
CoRR, 2021

Smoothing the Generative Latent Space with Mixup-based Distance Learning.
CoRR, 2021

Local-Selective Feature Distillation for Single Image Super-Resolution.
CoRR, 2021

Self-Evolutionary Optimization for Pareto Front Learning.
CoRR, 2021

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights.
CoRR, 2021

The Invertible U-Net for Optical-Flow-free Video Interframe Generation.
CoRR, 2021

Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer.
CoRR, 2021

Adaptive Template and Transition Map for Real-Time Video Object Segmentation.
IEEE Access, 2021

Recurrently-Trained Super-Resolution.
IEEE Access, 2021

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Vehicle Image Generation Going Well with the Surroundings.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LFI-CAM: Learning Feature Importance for Better Visual Explanation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Normalization Matters in Weakly Supervised Object Localization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prototype-Based Personalized Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Phase Selective Convolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Interpolation-Based Semi-Supervised Learning for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Nonparametric Estimation of Probabilistic Membership for Subspace Clustering.
IEEE Trans. Cybern., 2020

StyleUV: Diverse and High-fidelity UV Map Generative Model.
CoRR, 2020

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss.
CoRR, 2020

Asynchronous Edge Learning using Cloned Knowledge Distillation.
CoRR, 2020

On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective.
CoRR, 2020

Position-based Scaled Gradient for Model Quantization and Sparse Training.
CoRR, 2020

Class-Imbalanced Semi-Supervised Learning.
CoRR, 2020

Exploring Rare Pose in Human Pose Estimation.
IEEE Access, 2020

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Position-based Scaled Gradient for Model Quantization and Pruning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Training using Selection Network for Semi-supervised Learning.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Feature Fusion for Online Mutual Knowledge Distillation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Feature-map-level Online Adversarial Knowledge Distillation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Unpriortized Autoencoder For Image Generation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Kl-Divergence-Based Region Proposal Network For Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2020

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations.
Proceedings of the Computer Vision - ECCV 2020, 2020

Feature-Level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

StackNet: Stacking feature maps for Continual learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LSQ+: Improving low-bit quantization through learnable offsets and better initialization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

URNet: User-Resizable Residual Networks with Conditional Gating Module.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Mixture-Model-based Bounding Box Density Estimation for Object Detection.
CoRR, 2019

QKD: Quantization-aware Knowledge Distillation.
CoRR, 2019

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder.
CoRR, 2019

FEED: Feature-level Ensemble for Knowledge Distillation.
CoRR, 2019

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules.
CoRR, 2019

Image Enhancement by Recurrently-trained Super-resolution Network.
CoRR, 2019

Disentangling Options with Hellinger Distance Regularizer.
CoRR, 2019

Task-oriented Design through Deep Reinforcement Learning.
CoRR, 2019

Genetic-Gated Networks for Deep Reinforcement.
CoRR, 2019

Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders.
CoRR, 2019

TW3-Based Fully Automated Bone Age Assessment System Using Deep Neural Networks.
IEEE Access, 2019

Consistency-based Semi-supervised Learning for Object detection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pose estimator and tracker using temporal flow maps for limbs.
Proceedings of the International Joint Conference on Neural Networks, 2019

Two-layer Residual Feature Fusion for Object Detection.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

A Comprehensive Overhaul of Feature Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation.
IEEE Trans. Image Process., 2018

Independent component analysis by lp-norm optimization.
Pattern Recognit., 2018

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation.
CoRR, 2018

Image Translation to Mixed-Domain using Sym-Parameterized Generative Network.
CoRR, 2018

Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning.
CoRR, 2018

Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension.
CoRR, 2018

HC-Net: Memory-based Incremental Dual-Network System for Continual learning.
CoRR, 2018

Generating objects going well with the surroundings.
CoRR, 2018

Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information.
CoRR, 2018

Paraphrasing Complex Network: Network Compression via Factor Transfer.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Genetic-Gated Networks for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Music Source Separation Using Stacked Hourglass Networks.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Motion Feature Network: Fixed Motion Filter for Action Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Broadcasting Convolutional Network for Visual Relational Reasoning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Image Restoration by Estimating Frequency Distribution of Local Patches.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis.
Proceedings of the British Machine Vision Conference 2018, 2018

3D Human Pose Estimation with Relational Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Implementing Kernel Methods Incrementally by Incremental Nonlinear Projection Trick.
IEEE Trans. Cybern., 2017

Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals.
J. Field Robotics, 2017

Online recognition of handwritten music symbols.
Int. J. Document Anal. Recognit., 2017

Broadcasting Convolutional Network.
CoRR, 2017

Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation.
CoRR, 2017

Knowledge Sharing for Reinforcement Learning: Writing a BOOK.
CoRR, 2017

Where to Play: Retrieval of Video Segments using Natural-Language Queries.
CoRR, 2017

Residual Features and Unified Prediction Network for Single Stage Detection.
CoRR, 2017

Matching video net: Memory-based embedding for video action recognition.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Athlete Pose Estimation by a Global-Local Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Superpixel-based semantic segmentation trained by statistical process control.
Proceedings of the British Machine Vision Conference 2017, 2017

Enhancement of SSD by concatenating feature maps for object detection.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Generalized mean for robust principal component analysis.
Pattern Recognit., 2016

Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Kernel parameter selection by gap maximization between intra and inter-class samples.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

Analysis on the Dropout Effect in Convolutional Neural Networks.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Efficient l<sub>1</sub>-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

Illumination robust optical flow estimation by illumination-chromaticity decoupling.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Character recognition for the machine reader zone of electronic identity cards.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Approach of Team SNU to the DARPA Robotics Challenge finals.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Cultural event recognition by subregion classification with convolutional neural network.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Principal Component Analysis by $L_{p}$ -Norm Maximization.
IEEE Trans. Cybern., 2014

Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L<sub>1</sub> Norm.
Proceedings of the ICPRAM 2014, 2014

2013
Nonlinear Projection Trick in Kernel Methods: An Alternative to the Kernel Trick.
IEEE Trans. Neural Networks Learn. Syst., 2013

Generalization of linear discriminant analysis using <i>L</i><sub><i>p</i></sub>-norm.
Pattern Recognit. Lett., 2013

Generalized mean for feature extraction in one-class classification problems.
Pattern Recognit., 2013

2012
Recognition of a Driver's Gaze for Vehicle Headlamp Control.
IEEE Trans. Veh. Technol., 2012

Pixel selection based on discriminant features with application to face recognition.
Pattern Recognit. Lett., 2012

Kernel discriminant analysis for regression problems.
Pattern Recognit., 2012

Boosted-PCA for binary classification problems.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Detection and Recovery of Occluded Face Images based on Correlation between Pixels.
Proceedings of the ICPRAM 2012, 2012

2011
Face recognition based on 2D images under illumination and pose variations.
Pattern Recognit. Lett., 2011

Provisioning QoS for WiFi-enabled Portable Devices in Home Networks.
KSII Trans. Internet Inf. Syst., 2011

2010
Feature extraction based on subspace methods for regression problems.
Neurocomputing, 2010

2009
Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis.
Pattern Recognit., 2009

MAP Classifier with BDA Features.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
Feature extraction for classification problems and its application to face recognition.
Pattern Recognit., 2008

Principal Component Analysis Based on L1-Norm Maximization.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Dimensionality reduction based on ICA for regression problems.
Neurocomputing, 2008

Feature Extraction for Regression Problems and an Example Application for Pose Estimation of a Face.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2007
Feature Extraction Based on Direct Calculation of Mutual Information.
Int. J. Pattern Recognit. Artif. Intell., 2007

2006
Dimensionality Reduction Based on ICA for Regression Problems.
Proceedings of the Artificial Neural Networks, 2006

Feature Extraction with Weighted Samples Based on Independent Component Analysis.
Proceedings of the Artificial Neural Networks, 2006

2003
Feature Extraction Based on ICA for Binary Classification Problems.
IEEE Trans. Knowl. Data Eng., 2003

2002
Input feature selection for classification problems.
IEEE Trans. Neural Networks, 2002

Input Feature Selection by Mutual Information Based on Parzen Window.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Face recognition using feature extraction based on independent component analysis.
Proceedings of the 2002 International Conference on Image Processing, 2002

A New Method of Feature Extraction and Its Stability.
Proceedings of the Artificial Neural Networks, 2002

2001
Disturbance Attenuation in Robot Control.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Feature Extraction Using ICA.
Proceedings of the Artificial Neural Networks, 2001

1999
Improved mutual information feature selector for neural networks in supervised learning.
Proceedings of the International Joint Conference Neural Networks, 1999


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