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2020 – today
- 2021
[j31]Saem Park
, Nojun Kwak:
Recurrently-Trained Super-Resolution. IEEE Access 9: 23191-23201 (2021)- [j30]Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak:
Adaptive Template and Transition Map for Real-Time Video Object Segmentation. IEEE Access 9: 116914-116926 (2021) - [j29]Dongsuk Park, Seungeui Lee, Seonguk Park, Nojun Kwak:
Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks. Sensors 21(1): 210 (2021) - [c63]Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak:
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. AAAI 2021: 13171-13179 - [c62]Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli:
Phase Selective Convolution. CVPR Workshops 2021: 3199-3208 - [c61]Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. CVPR 2021: 8405-8414 - [c60]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR 2021: 11602-11611 - [c59]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-Based Personalized Pruning. ICASSP 2021: 3925-3929 - [i61]Seohyeong Jeong, Nojun Kwak:
Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer. CoRR abs/2102.09727 (2021) - [i60]Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2102.13002 (2021) - [i59]Saem Park, Donghun Han, Nojun Kwak:
The Invertible U-Net for Optical-Flow-free Video Interframe Generation. CoRR abs/2103.09576 (2021) - [i58]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-based Personalized Pruning. CoRR abs/2103.15564 (2021) - [i57]Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak:
LFI-CAM: Learning Feature Importance for Better Visual Explanation. CoRR abs/2105.00937 (2021) - [i56]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR abs/2106.14681 (2021) - [i55]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. CoRR abs/2107.13221 (2021) - [i54]Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR abs/2109.04660 (2021) - [i53]Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. CoRR abs/2109.07734 (2021) - 2020
- [j28]Jihye Hwang, John Yang, Nojun Kwak:
Exploring Rare Pose in Human Pose Estimation. IEEE Access 8: 194964-194977 (2020) - [j27]Jieun Lee, Hyeogjin Lee, Minsik Lee, Nojun Kwak:
Nonparametric Estimation of Probabilistic Membership for Subspace Clustering. IEEE Trans. Cybern. 50(3): 1023-1036 (2020) - [c58]Sang-Ho Lee, Simyung Chang, Nojun Kwak:
URNet: User-Resizable Residual Networks with Conditional Gating Module. AAAI 2020: 4569-4576 - [c57]Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak:
Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction. AAAI 2020: 11246-11253 - [c56]Jangho Kim, Jeesoo Kim, Nojun Kwak:
StackNet: Stacking feature maps for Continual learning. CVPR Workshops 2020: 975-982 - [c55]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops 2020: 2978-2985 - [c54]Seonguk Park, Nojun Kwak:
Feature-Level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks. ECAI 2020: 1411-1418 - [c53]Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations. ECCV (29) 2020: 1-18 - [c52]John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak:
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. ECCV (12) 2020: 122-139 - [c51]Jaeyoung Yoo, Hojun Lee, Nojun Kwak:
Unpriortized Autoencoder For Image Generation. ICIP 2020: 763-767 - [c50]Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
Kl-Divergence-Based Region Proposal Network For Object Detection. ICIP 2020: 2001-2005 - [c49]Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. ICML 2020: 2006-2015 - [c48]Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. ICPR 2020: 4619-4625 - [c47]Jisoo Jeong, Seungeui Lee, Nojun Kwak:
Self-Training using Selection Network for Semi-supervised Learning. ICPRAM 2020: 23-32 - [c46]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS 2020 - [c45]Hyojin Park, Lars Lowe Sjösund, Young Joon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. WACV 2020: 2055-2063 - [i52]Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. CoRR abs/2002.01775 (2020) - [i51]Minsung Hyun, Jisoo Jeong, Nojun Kwak:
Class-Imbalanced Semi-Supervised Learning. CoRR abs/2002.06815 (2020) - [i50]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR abs/2004.09576 (2020) - [i49]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR abs/2005.11035 (2020) - [i48]Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
KL-Divergence-Based Region Proposal Network for Object Detection. CoRR abs/2005.11220 (2020) - [i47]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-based semi-supervised learning for object detection. CoRR abs/2006.02158 (2020) - [i46]John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak:
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. CoRR abs/2007.05168 (2020) - [i45]Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations. CoRR abs/2007.10961 (2020) - [i44]Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. CoRR abs/2007.13373 (2020) - [i43]Seonguk Park, KiYoon Yoo, Nojun Kwak:
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. CoRR abs/2009.04120 (2020) - [i42]Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak:
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA. CoRR abs/2009.08043 (2020) - [i41]Sang-Ho Lee, KiYoon Yoo, Nojun Kwak:
Asynchronous Edge Learning using Cloned Knowledge Distillation. CoRR abs/2010.10338 (2020) - [i40]Hyojin Park, Ganesh Venkatesh, Nojun Kwak:
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. CoRR abs/2011.04445 (2020) - [i39]Myunggi Lee, Wonwoong Cho, Moonheum Kim, David I. Inouye, Nojun Kwak:
StyleUV: Diverse and High-fidelity UV Map Generative Model. CoRR abs/2011.12893 (2020) - [i38]Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. CoRR abs/2012.11655 (2020)
2010 – 2019
- 2019
- [j26]Sung Joon Son, Youngmin Song, Namgi Kim, Younghae Do, Nojun Kwak, Mu Sook Lee, Byoung-Dai Lee:
TW3-Based Fully Automated Bone Age Assessment System Using Deep Neural Networks. IEEE Access 7: 33346-33358 (2019) - [c44]Seonhoon Kim, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. AAAI 2019: 6586-6593 - [c43]Daesik Kim, Seonhoon Kim, Nojun Kwak:
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. ACL (1) 2019: 3568-3584 - [c42]John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. ACML 2019: 32-47 - [c41]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - [c40]Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. ICCV 2019: 4802-4810 - [c39]Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak:
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM 2019: 73-82 - [c38]Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong, Nojun Kwak:
Two-layer Residual Feature Fusion for Object Detection. ICPRAM 2019: 352-359 - [c37]Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak:
Pose estimator and tracker using temporal flow maps for limbs. IJCNN 2019: 1-8 - [c36]Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak:
Consistency-based Semi-supervised Learning for Object detection. NeurIPS 2019: 10758-10767 - [i37]Simyung Chang, Sang-Ho Lee, Nojun Kwak:
URNet : User-Resizable Residual Networks with Conditional Gating Module. CoRR abs/1901.04687 (2019) - [i36]Jaeyoung Yoo, Hojun Lee, Nojun Kwak:
Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders. CoRR abs/1902.04294 (2019) - [i35]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement. CoRR abs/1903.01886 (2019) - [i34]Junyoung Choi, Minsung Hyun, Nojun Kwak:
Task-oriented Design through Deep Reinforcement Learning. CoRR abs/1903.05271 (2019) - [i33]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - [i32]Minsung Hyun, Junyoung Choi, Nojun Kwak:
Disentangling Options with Hellinger Distance Regularizer. CoRR abs/1904.06887 (2019) - [i31]Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. CoRR abs/1904.09058 (2019) - [i30]Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak:
Pose estimator and tracker using temporal flow maps for limbs. CoRR abs/1905.09500 (2019) - [i29]Saem Park, Nojun Kwak:
Image Enhancement by Recurrently-trained Super-resolution Network. CoRR abs/1907.11341 (2019) - [i28]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak:
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. CoRR abs/1908.03093 (2019) - [i27]Seonguk Park, Nojun Kwak:
FEED: Feature-level Ensemble for Knowledge Distillation. CoRR abs/1909.10754 (2019) - [i26]Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak:
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction. CoRR abs/1911.08141 (2019) - [i25]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nicolas Monet, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. CoRR abs/1911.09099 (2019) - [i24]Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak:
QKD: Quantization-aware Knowledge Distillation. CoRR abs/1911.12491 (2019) - [i23]Jaeyoung Yoo, Geonseok Seo, Nojun Kwak:
Mixture-Model-based Bounding Box Density Estimation for Object Detection. CoRR abs/1911.12721 (2019) - 2018
- [j25]Sungheon Park, Nojun Kwak:
Independent component analysis by lp-norm optimization. Pattern Recognit. 76: 752-760 (2018) - [j24]Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation. IEEE Trans. Image Process. 27(1): 249-264 (2018) - [c35]Hyojin Park, Youngjoon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. BMVC 2018: 76 - [c34]Sungheon Park, Nojun Kwak:
3D Human Pose Estimation with Relational Networks. BMVC 2018: 129 - [c33]Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. CVPR 2018: 4167-4175 - [c32]Jaeyoung Yoo, Sang-Ho Lee, Nojun Kwak:
Image Restoration by Estimating Frequency Distribution of Local Patches. CVPR 2018: 6684-6692 - [c31]Myunggi Lee, Seungeui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak:
Motion Feature Network: Fixed Motion Filter for Action Recognition. ECCV (10) 2018: 392-408 - [c30]Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network for Visual Relational Reasoning. ECCV (15) 2018: 780-796 - [c29]Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. ISMIR 2018: 289-296 - [c28]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement Learning. NeurIPS 2018: 1754-1763 - [c27]Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. NeurIPS 2018: 2765-2774 - [i22]Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. CoRR abs/1802.04977 (2018) - [i21]Hyojin Park, Young Joon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. CoRR abs/1805.01123 (2018) - [i20]Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. CoRR abs/1805.08559 (2018) - [i19]Sungheon Park, Nojun Kwak:
3D Human Pose Estimation with Relational Networks. CoRR abs/1805.08961 (2018) - [i18]Jaeyoung Yoo, Sang-Ho Lee, Nojun Kwak:
Image Restoration by Estimating Frequency Distribution of Local Patches. CoRR abs/1805.09097 (2018) - [i17]Seonhoon Kim, Jin-Hyuk Hong, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. CoRR abs/1805.11360 (2018) - [i16]Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak:
Generating objects going well with the surroundings. CoRR abs/1807.02925 (2018) - [i15]Myunggi Lee, Seungeui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak:
Motion Feature Network: Fixed Motion Filter for Action Recognition. CoRR abs/1807.10037 (2018) - [i14]Jangho Kim, Jeesoo Kim, Nojun Kwak:
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. CoRR abs/1809.02441 (2018) - [i13]Daesik Kim, Seonhoon Kim, Nojun Kwak:
Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension. CoRR abs/1811.00232 (2018) - [i12]John Yang, Gyujeong Lee, Minsung Hyun, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning. CoRR abs/1811.04350 (2018) - [i11]Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network. CoRR abs/1811.12362 (2018) - [i10]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [j23]Jiyong Oh, Sung Joon Son, Sangkuk Lee, Ji-Won Kwon, Nojun Kwak:
Online recognition of handwritten music symbols. Int. J. Document Anal. Recognit. 20(2): 79-89 (2017) - [j22]Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Wonje Choi, Yisoo Lee, Sumin Park, Jiyong Oh, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K. C. Chang, Nojun Kwak, Jaeheung Park:
Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals. J. Field Robotics 34(2): 359-380 (2017) - [j21]Nojun Kwak:
Implementing Kernel Methods Incrementally by Incremental Nonlinear Projection Trick. IEEE Trans. Cybern. 47(11): 4003-4009 (2017) - [c26]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. BMVC 2017 - [c25]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. BMVC 2017 - [c24]Jihye Hwang, Sungheon Park, Nojun Kwak:
Athlete Pose Estimation by a Global-Local Network. CVPR Workshops 2017: 114-121 - [c23]Daesik Kim, Myunggi Lee, Nojun Kwak:
Matching video net: Memory-based embedding for video action recognition. IJCNN 2017: 432-438 - [i9]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. CoRR abs/1705.09587 (2017) - [i8]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. CoRR abs/1706.10071 (2017) - [i7]Sangkuk Lee, Daesik Kim, Myunggi Lee, Jihye Hwang, Nojun Kwak:
Where to Play: Retrieval of Video Segments using Natural-Language Queries. CoRR abs/1707.00251 (2017) - [i6]Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong, Nojun Kwak:
Residual Features and Unified Prediction Network for Single Stage Detection. CoRR abs/1707.05031 (2017) - [i5]Simyung Chang, Young Joon Yoo, Jaeseok Choi, Nojun Kwak:
Knowledge Sharing for Reinforcement Learning: Writing a BOOK. CoRR abs/1709.01308 (2017) - [i4]Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. CoRR abs/1711.09528 (2017) - [i3]Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak:
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. CoRR abs/1711.09681 (2017) - [i2]Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network. CoRR abs/1712.02517 (2017) - 2016
- [j20]Jiyong Oh, Nojun Kwak:
Generalized mean for robust principal component analysis. Pattern Recognit. 54: 116-127 (2016) - [c22]Sungheon Park, Nojun Kwak:
Analysis on the Dropout Effect in Convolutional Neural Networks. ACCV (2) 2016: 189-204 - [c21]John Yang, Hyeogjin Lee, Nojun Kwak:
Kernel parameter selection by gap maximization between intra and inter-class samples. BigComp 2016: 349-352 - [c20]Sungheon Park, Jihye Hwang, Nojun Kwak:
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information. ECCV Workshops (3) 2016: 156-169 - [c19]Myunggi Lee, Hyeogjin Lee, Jiyong Oh, Hak Jong Lee, Seung Hyup Kim, Nojun Kwak:
Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks. ICONIP (4) 2016: 19-27 - [c18]Jihye Hwang, Younggwang Ji, Nojun Kwak, Eun Yi Kim:
Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections. ICPRAM 2016: 526-533 - [i1]Sungheon Park, Jihye Hwang, Nojun Kwak:
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information. CoRR abs/1608.03075 (2016) - 2015
- [j19]Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh:
Efficient l1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 237-251 (2015) - [c17]Sungheon Park, Nojun Kwak:
Cultural event recognition by subregion classification with convolutional neural network. CVPR Workshops 2015: 45-50 - [c16]Minsik Lee, Jieun Lee, Hyeogjin Lee, Nojun Kwak:
Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering. CVPR 2015: 1648-1656 - [c15]Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Nojun Kwak, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K. C. Chang, Jaeheung Park:
Approach of Team SNU to the DARPA Robotics Challenge finals. Humanoids 2015: 777-784 - [c14]Hyeogjin Lee, Nojun Kwak:
Character recognition for the machine reader zone of electronic identity cards. ICIP 2015: 387-391 - [c13]Sungheon Park, Nojun Kwak:
Illumination robust optical flow estimation by illumination-chromaticity decoupling. ICIP 2015: 1910-1914 - 2014
- [j18]Nojun Kwak:
Principal Component Analysis by $L_{p}$ -Norm Maximization. IEEE Trans. Cybern. 44(5): 594-609 (2014) - [c12]Kanishka Tyagi, Nojun Kwak, Michael T. Manry:
Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm. ICPRAM 2014: 207-212 - 2013
- [j17]Jiyong Oh, Nojun Kwak, Minsik Lee, Chong-Ho Choi:
Generalized mean for feature extraction in one-class classification problems. Pattern Recognit. 46(12): 3328-3340 (2013) - [j16]