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2020 – today
- 2022
[j34]Jaeseok Choi
, Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak:
MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds. IEEE Access 10: 104011-104022 (2022)- [j33]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Model Compression via Position-Based Scaled Gradient. IEEE Access 10: 133828-133841 (2022) - [j32]Hye-min Won, Hyeogjin Lee, Gyuwon Song, Yeonghun Kim, Nojun Kwak:
Reliable Data Collection Methodology for Face Recognition in Preschool Children. Sensors 22(15): 5842 (2022) - [c82]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) 2022: 3656-3672 - [c81]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CVPR 2022: 3171-3181 - [c80]Gyutae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak:
MatteFormer: Transformer-Based Image Matting via Prior-Tokens. CVPR 2022: 11686-11696 - [c79]Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak:
MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. CVPR 2022: 14492-14501 - [c78]Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak:
Few-Shot Image Generation with Mixup-Based Distance Learning. ECCV (15) 2022: 563-580 - [c77]Jayeon Yoo, Inseop Chung, Nojun Kwak:
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. ECCV (33) 2022: 691-708 - [c76]KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. EMNLP 2022: 72-88 - [c75]Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak:
Variational On-the-Fly Personalization. ICML 2022: 11134-11147 - [c74]Saem Park, Donghoon Han, Nojun Kwak:
The U-Net based GLOW for Optical-Flow-Free Video Interframe Generation. ICPRAM 2022: 80-89 - [c73]Hyeondey Kim, Seonhoon Kim, Inho Kang, Nojun Kwak, Pascale Fung:
Korean Language Modeling via Syntactic Guide. LREC 2022: 2841-2849 - [c72]Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. WACV 2022: 1101-1110 - [c71]Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. WACV 2022: 1979-1988 - [c70]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV 2022: 2703-2713 - [i80]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR abs/2203.01677 (2022) - [i79]Jongmok Kim, Hwijun Lee, Jaeseung Lim, Jongkeun Na, Nojun Kwak, Jin Young Choi:
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation. CoRR abs/2203.07837 (2022) - [i78]Gyutae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak:
MatteFormer: Transformer-Based Image Matting via Prior-Tokens. CoRR abs/2203.15662 (2022) - [i77]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CoRR abs/2204.07262 (2022) - [i76]KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. CoRR abs/2204.14017 (2022) - [i75]Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak:
Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching. CoRR abs/2205.08714 (2022) - [i74]Jayeon Yoo, Inseop Chung, Nojun Kwak:
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box. CoRR abs/2207.09656 (2022) - [i73]Chaerin Kong, Nojun Kwak:
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis. CoRR abs/2207.14491 (2022) - [i72]Jookyung Song, Yeonjin Chang, Seonguk Park, Nojun Kwak:
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation. CoRR abs/2209.14479 (2022) - [i71]Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee:
Towards Efficient Neural Scene Graphs by Learning Consistency Fields. CoRR abs/2210.04127 (2022) - [i70]Chaerin Kong, Dong Hyeon Jeon, Ohjoon Kwon, Nojun Kwak:
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation. CoRR abs/2210.05872 (2022) - [i69]Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak:
Unifying Vision-Language Representation Space with Single-tower Transformer. CoRR abs/2211.11153 (2022) - 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) - [c69]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 - [c68]Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli:
Phase Selective Convolution. CVPR Workshops 2021: 3199-3208 - [c67]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 - [c66]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR 2021: 11602-11611 - [c65]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-Based Personalized Pruning. ICASSP 2021: 3925-3929 - [c64]Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak:
LFI-CAM: Learning Feature Importance for Better Visual Explanation. ICCV 2021: 1335-1343 - [c63]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. ICCV 2021: 3407-3416 - [c62]Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak:
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image. ICCV 2021: 3417-3426 - [c61]Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak:
Vehicle Image Generation Going Well with the Surroundings. ICONIP (4) 2021: 63-74 - [c60]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. Interspeech 2021: 4568-4572 - [c59]Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. IROS 2021: 3391-3397 - [i68]Seohyeong Jeong, Nojun Kwak:
Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer. CoRR abs/2102.09727 (2021) - [i67]Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2102.13002 (2021) - [i66]Saem Park, Donghun Han, Nojun Kwak:
The Invertible U-Net for Optical-Flow-free Video Interframe Generation. CoRR abs/2103.09576 (2021) - [i65]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-based Personalized Pruning. CoRR abs/2103.15564 (2021) - [i64]Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak:
LFI-CAM: Learning Feature Importance for Better Visual Explanation. CoRR abs/2105.00937 (2021) - [i63]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR abs/2106.14681 (2021) - [i62]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. CoRR abs/2107.13221 (2021) - [i61]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) - [i60]Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. CoRR abs/2109.07734 (2021) - [i59]Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak:
Self-Evolutionary Optimization for Pareto Front Learning. CoRR abs/2110.03461 (2021) - [i58]Inseop Chung, Jayeon Yoo, Nojun Kwak:
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2110.10916 (2021) - [i57]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR abs/2111.06500 (2021) - [i56]Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak:
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. CoRR abs/2111.10958 (2021) - [i55]Seonguk Park, Nojun Kwak:
Local-Selective Feature Distillation for Single Image Super-Resolution. CoRR abs/2111.10988 (2021) - [i54]Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak:
Smoothing the Generative Latent Space with Mixup-based Distance Learning. CoRR abs/2111.11672 (2021) - [i53]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak:
Self-Distilled Self-Supervised Representation Learning. CoRR abs/2111.12958 (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]