Improved mutual information feature selector for neural networks in supervised learning. - Nojun Kwak; Chong-Ho Choi (IJCNN, 1999)

Feature Extraction Using ICA. - Nojun Kwak; Chong-Ho Choi; Jin Young Choi 002 (ICANN, 2001)

Disturbance Attenuation in Robot Control. - Chong-Ho Choi; Nojun Kwak (ICRA, 2001)

A New Method of Feature Extraction and Its Stability. - Nojun Kwak; Chong-Ho Choi (ICANN, 2002)

Face recognition using feature extraction based on independent component analysis. - Nojun Kwak; Chong-Ho Choi; Narendra Ahuja (ICIP (2), 2002)

Input Feature Selection by Mutual Information Based on Parzen Window. - Nojun Kwak; Chong-Ho Choi (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Input feature selection for classification problems. - Nojun Kwak; Chong-Ho Choi (IEEE Trans. Neural Networks, 2002)

Feature Extraction Based on ICA for Binary Classification Problems. - Nojun Kwak; Chong-Ho Choi (IEEE Trans. Knowl. Data Eng., 2003)

Feature Extraction with Weighted Samples Based on Independent Component Analysis. - Nojun Kwak (ICANN (2), 2006)

Dimensionality Reduction Based on ICA for Regression Problems. - Nojun Kwak; Chunghoon Kim (ICANN (1), 2006)

Feature Extraction Based on Direct Calculation of Mutual Information. - Nojun Kwak (Int. J. Pattern Recognit. Artif. Intell., 2007)

Feature Extraction for Regression Problems and an Example Application for Pose Estimation of a Face. - Nojun Kwak; Sang-Il Choi; Chong-Ho Choi (ICIAR, 2008)

Dimensionality reduction based on ICA for regression problems. - Nojun Kwak; Chunghoon Kim; Hwangnam Kim (Neurocomputing, 2008)

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

Feature extraction for classification problems and its application to face recognition. - Nojun Kwak (Pattern Recognit., 2008)

MAP Classifier with BDA Features. - Jiyong Oh; Chong-Ho Choi; Nojun Kwak (FSKD (1), 2009)

Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis. - Nojun Kwak; Jiyong Oh (Pattern Recognit., 2009)

Feature extraction based on subspace methods for regression problems. - Nojun Kwak; Jung-Won Lee (Neurocomputing, 2010)

Provisioning QoS for WiFi-enabled Portable Devices in Home Networks. - Eun-Chan Park; Nojun Kwak; Suk Kyu Lee; Jong-Kook Kim; Hwangnam Kim (KSII Trans. Internet Inf. Syst., 2011)

Face recognition based on 2D images under illumination and pose variations. - Sang-Il Choi; Chong-Ho Choi; Nojun Kwak (Pattern Recognit. Lett., 2011)

Detection and Recovery of Occluded Face Images based on Correlation between Pixels. - Jieun Lee; Nojun Kwak (ICPRAM (2), 2012)

Boosted-PCA for binary classification problems. - Seaung Lok Ham; Nojun Kwak (ISCAS, 2012)

Kernel discriminant analysis for regression problems. - Nojun Kwak (Pattern Recognit., 2012)

Pixel selection based on discriminant features with application to face recognition. - Sang-Il Choi; Chong-Ho Choi; Gu-Min Jeong; Nojun Kwak (Pattern Recognit. Lett., 2012)

Recognition of a Driver's Gaze for Vehicle Headlamp Control. - Jae Hyun Oh; Nojun Kwak (IEEE Trans. Veh. Technol., 2012)

Generalized mean for feature extraction in one-class classification problems. - Jiyong Oh; Nojun Kwak; Minsik Lee 001; Chong-Ho Choi (Pattern Recognit., 2013)

Generalization of linear discriminant analysis using Lp-norm. - Jae Hyun Oh; Nojun Kwak (Pattern Recognit. Lett., 2013)

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

Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm. - Kanishka Tyagi; Nojun Kwak; Michael T. Manry (ICPRAM, 2014)

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

Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering. - Minsik Lee 001; Jieun Lee; Hyeogjin Lee; Nojun Kwak (CVPR, 2015)

Cultural event recognition by subregion classification with convolutional neural network. - Sungheon Park; Nojun Kwak (CVPR Workshops, 2015)

Approach of Team SNU to the DARPA Robotics Challenge finals. - Sanghyun Kim; Mingon Kim; Jimin Lee; Soonwook Hwang; Joonbo Chae; Beomyeong Park; Hyunbum Cho; Jaehoon Sim; Jaesug Jung; Hosang Lee; Seho Shin; Minsung Kim; et al. (Humanoids, 2015)

Character recognition for the machine reader zone of electronic identity cards. - Hyeogjin Lee; Nojun Kwak (ICIP, 2015)

Illumination robust optical flow estimation by illumination-chromaticity decoupling. - Sungheon Park; Nojun Kwak (ICIP, 2015)

Efficient l1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. - Eunwoo Kim; Minsik Lee 001; Chong-Ho Choi; Nojun Kwak; Songhwai Oh (IEEE Trans. Neural Networks Learn. Syst., 2015)

Analysis on the Dropout Effect in Convolutional Neural Networks. - Sungheon Park; Nojun Kwak (ACCV (2), 2016)

Kernel parameter selection by gap maximization between intra and inter-class samples. - John Yang 001; Hyeogjin Lee; Nojun Kwak (BigComp, 2016)

3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information. - Sungheon Park; Jihye Hwang; Nojun Kwak (ECCV Workshops (3), 2016)

Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks. - Myunggi Lee; Hyeogjin Lee; Jiyong Oh; Hak Jong Lee; Seung Hyup Kim; Nojun Kwak (ICONIP (4), 2016)

Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections. - Jihye Hwang; Younggwang Ji; Nojun Kwak; Eun Yi Kim (ICPRAM, 2016)

Generalized mean for robust principal component analysis. - Jiyong Oh; Nojun Kwak (Pattern Recognit., 2016)

Enhancement of SSD by concatenating feature maps for object detection. - Jisoo Jeong; Hyojin Park 001; Nojun Kwak (BMVC, 2017)

Superpixel-based semantic segmentation trained by statistical process control. - Hyojin Park 001; Jisoo Jeong; Youngjoon Yoo; Nojun Kwak (BMVC, 2017)

Athlete Pose Estimation by a Global-Local Network. - Jihye Hwang; Sungheon Park; Nojun Kwak (CVPR Workshops, 2017)

Matching video net: Memory-based embedding for video action recognition. - Daesik Kim; Myunggi Lee; Nojun Kwak (IJCNN, 2017)

Residual Features and Unified Prediction Network for Single Stage Detection. - Kyoungmin Lee; Jaeseok Choi; Jisoo Jeong; Nojun Kwak (CoRR, 2017)

Where to Play: Retrieval of Video Segments using Natural-Language Queries. - Sangkuk Lee; Daesik Kim; Myunggi Lee; Jihye Hwang; Nojun Kwak (CoRR, 2017)

Knowledge Sharing for Reinforcement Learning: Writing a BOOK. - Simyung Chang; Young Joon Yoo; Jaeseok Choi; Nojun Kwak (CoRR, 2017)

Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. - Young Joon Yoo; Seonguk Park; Junyoung Choi; Sangdoo Yun; Nojun Kwak (CoRR, 2017)

Broadcasting Convolutional Network. - Simyung Chang; John Yang 001; Seonguk Park; Nojun Kwak (CoRR, 2017)

Online recognition of handwritten music symbols. - Jiyong Oh; Sung Joon Son; Sangkuk Lee; Ji-Won Kwon; Nojun Kwak (Int. J. Document Anal. Recognit., 2017)

Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals. - Sanghyun Kim; Mingon Kim; Jimin Lee; Soonwook Hwang; Joonbo Chae; Beomyeong Park; Hyunbum Cho; Jaehoon Sim; Jaesug Jung; Hosang Lee; Seho Shin; Minsung Kim; et al. (J. Field Robotics, 2017)

Implementing Kernel Methods Incrementally by Incremental Nonlinear Projection Trick. - Nojun Kwak (IEEE Trans. Cybern., 2017)

3D Human Pose Estimation with Relational Networks. - Sungheon Park; Nojun Kwak (BMVC, 2018)

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. - Hyojin Park 001; Youngjoon Yoo; Nojun Kwak (BMVC, 2018)

Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. - Daesik Kim; Youngjoon Yoo; Jeesoo Kim; Sangkuk Lee; Nojun Kwak (CVPR, 2018)

Image Restoration by Estimating Frequency Distribution of Local Patches. - Jaeyoung Yoo; Sang-Ho Lee; Nojun Kwak (CVPR, 2018)

Broadcasting Convolutional Network for Visual Relational Reasoning. - Simyung Chang; John Yang 001; Seonguk Park; Nojun Kwak (ECCV (15), 2018)

Motion Feature Network: Fixed Motion Filter for Action Recognition. - Myunggi Lee; Seungeui Lee; Sung Joon Son; Gyutae Park; Nojun Kwak (ECCV (10), 2018)

Music Source Separation Using Stacked Hourglass Networks. - Sungheon Park; Taehoon Kim; Kyogu Lee; Nojun Kwak (ISMIR, 2018)

Genetic-Gated Networks for Deep Reinforcement Learning. - Simyung Chang; John Yang 001; Jaeseok Choi; Nojun Kwak (NeurIPS, 2018)

Paraphrasing Complex Network: Network Compression via Factor Transfer. - Jangho Kim; Seonguk Park; Nojun Kwak (NeurIPS, 2018)

Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. - Seonhoon Kim; Jin-Hyuk Hong; Inho Kang; Nojun Kwak (CoRR, 2018)

Generating objects going well with the surroundings. - Jeesoo Kim; Jaeyoung Yoo; Jangho Kim; Nojun Kwak (CoRR, 2018)

HC-Net: Memory-based Incremental Dual-Network System for Continual learning. - Jangho Kim; Jeesoo Kim; Nojun Kwak (CoRR, 2018)

Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension. - Daesik Kim; Seonhoon Kim; Nojun Kwak (CoRR, 2018)

Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning. - John Yang 001; Gyujeong Lee; Minsung Hyun; Simyung Chang; Nojun Kwak (CoRR, 2018)

Image Translation to Mixed-Domain using Sym-Parameterized Generative Network. - Simyung Chang; Seonguk Park; John Yang 001; Nojun Kwak (CoRR, 2018)

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. - Hyojin Park 001; Youngjoon Yoo; Geonseok Seo; Dongyoon Han; Sangdoo Yun; Nojun Kwak (CoRR, 2018)

Independent component analysis by lp-norm optimization. - Sungheon Park; Nojun Kwak (Pattern Recognit., 2018)

Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation. - Sungheon Park; Minsik Lee 001; Nojun Kwak (IEEE Trans. Image Process., 2018)

Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. - Seonhoon Kim; Inho Kang; Nojun Kwak (AAAI, 2019)

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. - Daesik Kim; Seonhoon Kim; Nojun Kwak (ACL (1), 2019)

Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. - John Yang 001; Gyuejeong Lee; Simyung Chang; Nojun Kwak (ACML, 2019)

Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. - Simyung Chang; Seonguk Park; John Yang 001; Nojun Kwak (ICCV, 2019)

A Comprehensive Overhaul of Feature Distillation. - Byeongho Heo; Jeesoo Kim; Sangdoo Yun; Hyojin Park 001; Nojun Kwak; Jin Young Choi 002 (ICCV, 2019)

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. - Simyung Chang; Youngjoon Yoo; Jaeseok Choi; Nojun Kwak (ICPRAM, 2019)

Two-layer Residual Feature Fusion for Object Detection. - Jaeseok Choi; Kyoungmin Lee; Jisoo Jeong; Nojun Kwak (ICPRAM, 2019)

Pose estimator and tracker using temporal flow maps for limbs. - Jihye Hwang; Jieun Lee; Sungheon Park; Nojun Kwak (IJCNN, 2019)

Consistency-based Semi-supervised Learning for Object detection. - Jisoo Jeong; Seungeui Lee; Jeesoo Kim; Nojun Kwak (NeurIPS, 2019)

TW3-Based Fully Automated Bone Age Assessment System Using Deep Neural Networks. - Sung Joon Son; Youngmin Song; Namgi Kim; Younghae Do; Nojun Kwak; Mu Sook Lee; Byoung-Dai Lee (IEEE Access, 2019)

Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders. - Jaeyoung Yoo; Hojun Lee 002; Nojun Kwak (CoRR, 2019)

Genetic-Gated Networks for Deep Reinforcement. - Simyung Chang; John Yang 001; Jaeseok Choi; Nojun Kwak (CoRR, 2019)

Task-oriented Design through Deep Reinforcement Learning. - Junyoung Choi; Minsung Hyun; Nojun Kwak (CoRR, 2019)

Disentangling Options with Hellinger Distance Regularizer. - Minsung Hyun; Junyoung Choi; Nojun Kwak (CoRR, 2019)

Image Enhancement by Recurrently-trained Super-resolution Network. - Saem Park; Nojun Kwak (CoRR, 2019)

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. - Hyojin Park 001; Lars Lowe Sjösund; Youngjoon Yoo; Nojun Kwak (CoRR, 2019)

FEED: Feature-level Ensemble for Knowledge Distillation. - Seonguk Park; Nojun Kwak (CoRR, 2019)

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. - Hyojin Park 001; Lars Lowe Sjösund; Youngjoon Yoo; Nicolas Monet; Nojun Kwak (CoRR, 2019)

QKD: Quantization-aware Knowledge Distillation. - Jangho Kim; Yash Bhalgat; Jinwon Lee; Chirag Patel; Nojun Kwak (CoRR, 2019)

Mixture-Model-based Bounding Box Density Estimation for Object Detection. - Jaeyoung Yoo; Geonseok Seo; Nojun Kwak (CoRR, 2019)

Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction. - Daesik Kim; Gyujeong Lee; Jisoo Jeong; Nojun Kwak (AAAI, 2020)

URNet: User-Resizable Residual Networks with Conditional Gating Module. - Sang-Ho Lee; Simyung Chang; Nojun Kwak (AAAI, 2020)

LSQ+: Improving low-bit quantization through learnable offsets and better initialization. - Yash Bhalgat; Jinwon Lee; Markus Nagel; Tijmen Blankevoort; Nojun Kwak (CVPR Workshops, 2020)

StackNet: Stacking feature maps for Continual learning. - Jangho Kim; Jeesoo Kim; Nojun Kwak (CVPR Workshops, 2020)

Feature-Level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks. - Seonguk Park; Nojun Kwak (ECAI, 2020)

Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations. - Sungheon Park; Minsik Lee 001; Nojun Kwak (ECCV (29), 2020)

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. - John Yang 001; Hyung Jin Chang; Seungeui Lee; Nojun Kwak (ECCV (12), 2020)

Kl-Divergence-Based Region Proposal Network For Object Detection. - Geonseok Seo; Jaeyoung Yoo; Jaeseok Choi; Nojun Kwak (ICIP, 2020)

Unpriortized Autoencoder For Image Generation. - Jaeyoung Yoo; Hojun Lee 002; Nojun Kwak (ICIP, 2020)

Feature-map-level Online Adversarial Knowledge Distillation. - Inseop Chung; Seonguk Park; Jangho Kim; Nojun Kwak (ICML, 2020)

Feature Fusion for Online Mutual Knowledge Distillation. - Jangho Kim; Minsung Hyun; Inseop Chung; Nojun Kwak (ICPR, 2020)

Self-Training using Selection Network for Semi-supervised Learning. - Jisoo Jeong; Seungeui Lee; Nojun Kwak (ICPRAM, 2020)

Position-based Scaled Gradient for Model Quantization and Pruning. - Jangho Kim; KiYoon Yoo; Nojun Kwak (NeurIPS, 2020)

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. - Hyojin Park 001; Lars Lowe Sjösund; Young Joon Yoo; Nicolas Monet; Jihwan Bang; Nojun Kwak (WACV, 2020)

Exploring Rare Pose in Human Pose Estimation. - Jihye Hwang; John Yang 001; Nojun Kwak (IEEE Access, 2020)

Class-Imbalanced Semi-Supervised Learning. - Minsung Hyun; Jisoo Jeong; Nojun Kwak (CoRR, 2020)

Position-based Scaled Gradient for Model Quantization and Sparse Training. - Jangho Kim; KiYoon Yoo; Nojun Kwak (CoRR, 2020)

On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. - Seonguk Park; KiYoon Yoo; Nojun Kwak (CoRR, 2020)

Asynchronous Edge Learning using Cloned Knowledge Distillation. - Sang-Ho Lee; KiYoon Yoo; Nojun Kwak (CoRR, 2020)

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. - Hyojin Park 001; Ganesh Venkatesh; Nojun Kwak (CoRR, 2020)

StyleUV: Diverse and High-fidelity UV Map Generative Model. - Myunggi Lee; Wonwoong Cho; Moonheum Kim; David I. Inouye; Nojun Kwak (CoRR, 2020)

Nonparametric Estimation of Probabilistic Membership for Subspace Clustering. - Jieun Lee; Hyeogjin Lee; Minsik Lee 001; Nojun Kwak (IEEE Trans. Cybern., 2020)

Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. - Seonhoon Kim; Seohyeong Jeong; Eunbyul Kim; Inho Kang; Nojun Kwak (AAAI, 2021)

Interpolation-Based Semi-Supervised Learning for Object Detection. - Jisoo Jeong; Vikas Verma; Minsung Hyun; Juho Kannala; Nojun Kwak (CVPR, 2021)

Phase Selective Convolution. - Jamie Menjay Lin; Parham Noorzad; Yang Yang 010; Nojun Kwak; Fatih Porikli (CVPR Workshops, 2021)

Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. - Hyojin Park 001; Jayeon Yoo; Seohyeong Jeong; Ganesh Venkatesh; Nojun Kwak (CVPR, 2021)

Prototype-Based Personalized Pruning. - Jangho Kim; Simyung Chang; Sungrack Yun; Nojun Kwak (ICASSP, 2021)

Normalization Matters in Weakly Supervised Object Localization. - Jeesoo Kim; Junsuk Choe; Sangdoo Yun; Nojun Kwak (ICCV, 2021)

LFI-CAM: Learning Feature Importance for Better Visual Explanation. - Kwang Hee Lee; Chaewon Park; Junghyun Oh; Nojun Kwak (ICCV, 2021)

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image. - Jaeyoung Yoo; Hojun Lee 002; Inseop Chung; Geonseok Seo; Nojun Kwak (ICCV, 2021)

Vehicle Image Generation Going Well with the Surroundings. - Jeesoo Kim; Jangho Kim; Jaeyoung Yoo; Daesik Kim; Nojun Kwak (ICONIP (4), 2021)

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. - Jangho Kim; Simyung Chang; Nojun Kwak (Interspeech, 2021)

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. - Jaeseok Choi; Yeji Song; Nojun Kwak (IROS, 2021)

Recurrently-Trained Super-Resolution. - Saem Park; Nojun Kwak (IEEE Access, 2021)

Adaptive Template and Transition Map for Real-Time Video Object Segmentation. - Hyojin Park 001; Jayeon Yoo; Ganesh Venkatesh; Nojun Kwak (IEEE Access, 2021)

Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer. - Seohyeong Jeong; Nojun Kwak (CoRR, 2021)

The Invertible U-Net for Optical-Flow-free Video Interframe Generation. - Saem Park; Donghun Han; Nojun Kwak (CoRR, 2021)

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. - Jangho Kim; Jayeon Yoo; Yeji Song; KiYoon Yoo; Nojun Kwak (CoRR, 2021)

Self-Evolutionary Optimization for Pareto Front Learning. - Simyung Chang; KiYoon Yoo; Jiho Jang; Nojun Kwak (CoRR, 2021)

Local-Selective Feature Distillation for Single Image Super-Resolution. - Seonguk Park; Nojun Kwak (CoRR, 2021)

Smoothing the Generative Latent Space with Mixup-based Distance Learning. - Chaerin Kong; Jeesoo Kim; Donghoon Han; Nojun Kwak (CoRR, 2021)

Self-Distilled Self-Supervised Representation Learning. - Jiho Jang; Seonhoon Kim; KiYoon Yoo; Jangho Kim; Nojun Kwak (CoRR, 2021)

Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks. - Dongsuk Park; Seungeui Lee; Seonguk Park; Nojun Kwak (Sensors, 2021)

Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. - KiYoon Yoo; Jangho Kim; Jiho Jang; Nojun Kwak (ACL (Findings), 2022)

Towards Efficient Neural Scene Graphs by Learning Consistency Fields. - Yeji Song; Chaerin Kong; Seoyoung Lee; Nojun Kwak; Joonseok Lee (BMVC, 2022)

Imposing Consistency for Optical Flow Estimation. - Jisoo Jeong; Jamie Menjay Lin; Fatih Porikli; Nojun Kwak (CVPR, 2022)

MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. - Jongmok Kim; Jooyoung Jang; Seunghyeon Seo; Jisoo Jeong; Jongkeun Na; Nojun Kwak (CVPR, 2022)

MatteFormer: Transformer-Based Image Matting via Prior-Tokens. - Gyutae Park; Sungjoon Son; Jaeyoung Yoo; Seho Kim; Nojun Kwak (CVPR, 2022)

Few-Shot Image Generation with Mixup-Based Distance Learning. - Chaerin Kong; Jeesoo Kim; Donghoon Han; Nojun Kwak (ECCV (15), 2022)

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. - Jayeon Yoo; Inseop Chung; Nojun Kwak (ECCV (33), 2022)

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. - KiYoon Yoo; Nojun Kwak (EMNLP, 2022)

Variational On-the-Fly Personalization. - Jangho Kim; Juntae Lee; Simyung Chang; Nojun Kwak (ICML, 2022)

The U-Net based GLOW for Optical-Flow-Free Video Interframe Generation. - Saem Park; Donghoon Han; Nojun Kwak (ICPRAM, 2022)

Korean Language Modeling via Syntactic Guide. - Hyeondey Kim; Seonhoon Kim; Inho Kang; Nojun Kwak; Pascale Fung (LREC, 2022)

Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. - Inseop Chung; Daesik Kim; Nojun Kwak (WACV, 2022)

Few-Shot Object Detection by Attending to Per-Sample-Prototype. - Hojun Lee 002; Myunggi Lee; Nojun Kwak (WACV, 2022)

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. - John Yang 001; Yash Bhalgat; Simyung Chang; Fatih Porikli; Nojun Kwak (WACV, 2022)

MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds. - Jaeseok Choi; Yeji Song; Yerim Kim; Jaeyoung Yoo; Nojun Kwak (IEEE Access, 2022)

Model Compression via Position-Based Scaled Gradient. - Jangho Kim; KiYoon Yoo; Nojun Kwak (IEEE Access, 2022)

Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. - KiYoon Yoo; Jangho Kim; Jiho Jang; Nojun Kwak (CoRR, 2022)

Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation. - Jongmok Kim; Hwijun Lee; Jaeseung Lim; Jongkeun Na; Nojun Kwak; Jin Young Choi 002 (CoRR, 2022)

Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching. - Jaeyoung Yoo; Hojun Lee 002; Seunghyeon Seo; Inseop Chung; Nojun Kwak (CoRR, 2022)

Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis. - Chaerin Kong; Nojun Kwak (CoRR, 2022)

Reliable Data Collection Methodology for Face Recognition in Preschool Children. - Hye-min Won; Hyeogjin Lee; Gyuwon Song; Yeonghun Kim; Nojun Kwak (Sensors, 2022)

Unifying Vision-Language Representation Space with Single-Tower Transformer. - Jiho Jang; Chaerin Kong; Donghyeon Jeon; Seonhoon Kim; Nojun Kwak (AAAI, 2023)

Robust Multi-bit Natural Language Watermarking through Invariant Features. - KiYoon Yoo; Wonhyuk Ahn; Jiho Jang; Nojun Kwak (ACL (1), 2023)

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs. - Seunghyeon Seo; Donghoon Han; Yeonjin Chang; Nojun Kwak (CVPR, 2023)

Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation. - Jookyung Song; Yeonjin Chang; Seonguk Park; Nojun Kwak (ICASSP, 2023)

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis. - Seunghyeon Seo; Yeonjin Chang; Nojun Kwak (ICCV, 2023)

End-to-End Multi-Object Detection with a Regularized Mixture Model. - Jaeyoung Yoo; Hojun Lee 002; Seunghyeon Seo; Inseop Chung; Nojun Kwak (ICML, 2023)

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. - Jangho Kim; Jayeon Yoo; Yeji Song; KiYoon Yoo; Nojun Kwak (ACM Multimedia, 2023)

SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning. - Junhoo Lee; Jayeon Yoo; Nojun Kwak (NeurIPS, 2023)

MDPose: real-time multi-person pose estimation via mixture density model. - Seunghyeon Seo; Jaeyoung Yoo; Jihye Hwang; Nojun Kwak (UAI, 2023)

Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. - Inseop Chung; Jayeon Yoo; Nojun Kwak (WACV (Workshops), 2023)

Self-Distilled Self-supervised Representation Learning. - Jiho Jang; Seonhoon Kim; KiYoon Yoo; Chaerin Kong; Jangho Kim; Nojun Kwak (WACV, 2023)

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation. - Chaerin Kong; Dong Hyeon Jeon; Ohjoon Kwon; Nojun Kwak (WACV, 2023)

Dual-Stage Super-Resolution for Edge Devices. - Saem Park; Geunjae Choi; Seonguk Park; Nojun Kwak (IEEE Access, 2023)

Correlation-Concealing Adversarial Noise Injection for Improved Disentanglement in Label-Based Image Translation. - Seonguk Park; Jookyung Song; Donghoon Han; Nojun Kwak (IEEE Access, 2023)

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance. - Chaerin Kong; Nojun Kwak (CoRR, 2023)

Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency. - Jaeseung Lim; Jongkeun Na; Nojun Kwak (CoRR, 2023)

Robust Natural Language Watermarking through Invariant Features. - KiYoon Yoo; Wonhyuk Ahn; Jiho Jang; Nojun Kwak (CoRR, 2023)

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion. - Seungwoo Lee; Chaerin Kong; Donghyeon Jeon; Nojun Kwak (CoRR, 2023)

Advancing Beyond Identification: Multi-bit Watermark for Language Models. - KiYoon Yoo; Wonhyuk Ahn; Nojun Kwak (CoRR, 2023)

ConcatPlexer: Additional Dim1 Batching for Faster ViTs. - Donghoon Han; Seunghyeon Seo; Donghyeon Jeon; Jiho Jang; Chaerin Kong; Nojun Kwak (CoRR, 2023)

Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features. - Inseop Chung; KiYoon Yoo; Nojun Kwak (CoRR, 2023)

Image Recommendation System Based on Environmental and Human Face Information. - Hye-min Won; Yong Seok Heo; Nojun Kwak (Sensors, 2023)

Any-Way Meta Learning. - Junhoo Lee; Yearim Kim; Hyunho Lee; Nojun Kwak (AAAI, 2024)

TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis. - Hyeonjin Kim; Min Kim; Jae Jang; KiYoon Yoo; Nojun Kwak (ClinicalNLP@NAACL, 2024)

A Revisit to the Decoder for Camouflaged Object Detection. - Seung Woo Ko; Joopyo Hong; Suyoung Kim; Seungjai Bang; Sungzoon Cho; Nojun Kwak; Hyung-Sin Kim; Joonseok Lee (BMVC, 2024)

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. - Taehoon Kim; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Mark Marsden; Alessandra Sala; Seung Hwan Kim; Bohyung Han; Kyoung Mu Lee; Honglak Lee; Kyounghoon Bae; Xiangyu Wu; et al. (CVPR Workshops, 2024)

Coreset Selection for Object Detection. - Hojun Lee 002; Suyoung Kim; Junhoo Lee; Jaeyoung Yoo; Nojun Kwak (CVPR Workshops, 2024)

What, How, and When Should Object Detectors Update in Continually Changing Test Domains? - Jayeon Yoo; Dongkwan Lee; Inseop Chung; Donghyun Kim; Nojun Kwak (CVPR, 2024)

Practical Dataset Distillation Based on Deep Support Vectors. - Hyunho Lee; Junhoo Lee; Nojun Kwak (ECCV Workshops (19), 2024)

SAVE: Protagonist Diversification with Structure Agnostic Video Editing. - Yeji Song; Wonsik Shin; Junsoo Lee; Jeesoo Kim; Nojun Kwak (ECCV (80), 2024)

MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline. - Donghoon Han; Eunhwan Park; Gisang Lee; Adam Lee; Nojun Kwak (EMNLP (Industry Track), 2024)

Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition. - Sangyu Han; Yearim Kim; Nojun Kwak (ICLR, 2024)

Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. - KiYoon Yoo; Wonhyuk Ahn; Nojun Kwak (NAACL-HLT, 2024)

Deep Support Vectors. - JunHoo Lee; Hyunho Lee; Kyomin Hwang; Nojun Kwak (NeurIPS, 2024)

Fast Sun-aligned Outdoor Scene Relighting based on TensoRF. - Yeonjin Chang; Yearim Kim; Seunghyeon Seo; Jung Yi; Nojun Kwak (WACV, 2024)

Class Incremental Learning With Large Domain Shift. - Kamin Lee; Hyoeun Kim; Geunjae Choi; Hyejeong Jeon; Nojun Kwak (IEEE Access, 2024)

Mitigating the Bias in the Model for Continual Test-Time Adaptation. - Inseop Chung; Kyomin Hwang; Jayeon Yoo; Nojun Kwak (CoRR, 2024)

HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering. - Seunghyeon Seo; Yeonjin Chang; Jayeon Yoo; Seungwoo Lee; Hojun Lee 002; Nojun Kwak (CoRR, 2024)

Deep Support Vectors. - Junhoo Lee; Hyunho Lee; Kyomin Hwang; Nojun Kwak (CoRR, 2024)

Unleash the Potential of CLIP for Video Highlight Detection. - Donghoon Han; Seunghyeon Seo; Eunhwan Park; Seong-Uk Nam; Nojun Kwak (CoRR, 2024)

Semi-Supervised Domain Adaptation for Wildfire Detection. - Jooyoung Jang; Youngseo Cha; Jisu Kim; SooHyung Lee; Geonu Lee; Minkook Cho; Young K. Hwang; Nojun Kwak (CoRR, 2024)

Do not think pink elephant! - Kyomin Hwang; Suyoung Kim; JunHoo Lee; Nojun Kwak (CoRR, 2024)

Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG). - Yearim Kim; Sangyu Han; Sangbum Han; Nojun Kwak (CoRR, 2024)

SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques. - Jookyung Song; Mookyoung Kang; Nojun Kwak (CoRR, 2024)

Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings. - Jinyung Hong; Yearim Kim; Keun Hee Park; Sangyu Han; Nojun Kwak; Theodore P. Pavlic (CoRR, 2024)

Visual Communication Design Method in Folk Art Based on Multimedia Data Transmission Technology. - Linran Sun; Nojun Kwak (Int. J. Inf. Syst. Supply Chain Manag., 2024)

Discriminative subspace learning using generalized mean. - Jiyong Oh; Nojun Kwak (Signal Process., 2024)

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization. - Yeji Song; Jimyeong Kim; Wonhark Park; Wonsik Shin; Wonjong Rhee; Nojun Kwak (AAAI, 2025)

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization. - Dongkwan Lee; Kyomin Hwang; Nojun Kwak (CVPR, 2025)

ARC-NeRF: Area Ray Casting for Broader Unseen View Coverage in Few-shot Object Rendering. - Seunghyeon Seo; Yeonjin Chang; Jayeon Yoo; Seungwoo Lee; Hojun Lee 002; Nojun Kwak (CVPR Workshops, 2025)

TPD-STR: Text Polygon Detection with Split Transformers. - Sangyeon Kim; Sangkuk Lee; Jeesoo Kim; Nojun Kwak (WACV, 2025)

WAPS-Quant: Low-Bit Post-Training Quantization Using Weight-Activation Product Scaling. - Geunjae Choi; Kamin Lee; Nojun Kwak (IEEE Access, 2025)

The Role of Teacher Calibration in Knowledge Distillation. - Suyoung Kim; Seonguk Park; Junhoo Lee; Nojun Kwak (IEEE Access, 2025)

Layerwise-priority-based gradient adjustment for few-shot learning. - Jangho Kim; Junhoo Lee; Donghoon Han; Nojun Kwak (Expert Syst. Appl., 2025)

ROODI: Reconstructing Occluded Objects with Denoising Inpainters. - Yeonjin Chang; Erqun Dong; Seunghyeon Seo; Nojun Kwak; Kwang Moo Yi (CoRR, 2025)

DivCon-NeRF: Generating Augmented Rays with Diversity and Consistency for Few-shot View Synthesis. - Ingyun Lee; Jae Won Jang; Seunghyeon Seo; Nojun Kwak (CoRR, 2025)

S3D: Sketch-Driven 3D Model Generation. - Hail Song; Wonsik Shin; Naeun Lee; Soomin Chung; Nojun Kwak; Woontack Woo (CoRR, 2025)

Understanding Differential Transformer Unchains Pretrained Self-Attentions. - Chaerin Kong; Jiho Jang; Nojun Kwak (CoRR, 2025)

ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation. - Jimyeong Kim; Jungwon Park; Yeji Song; Nojun Kwak; Wonjong Rhee (CoRR, 2025)

What's Making That Sound Right Now? Video-centric Audio-Visual Localization. - Hahyeon Choi; Junhoo Lee; Nojun Kwak (CoRR, 2025)

Generative Head-Mounted Camera Captures for Photorealistic Avatars. - Shaojie Bai; Seunghyeon Seo; Yida Wang; Chenghui Li; Owen Wang; Te-Li Wang; Tianyang Ma; Jason M. Saragih; Shih-En Wei; Nojun Kwak; Hyung Jun Kim (CoRR, 2025)

Style Composition within Distinct LoRA modules for Traditional Art. - Jaehyun Lee; Wonhark Park; Wonsik Shin; Hyunho Lee; Hyoung Min Na; Nojun Kwak (CoRR, 2025)