README~2022.md

Paper-Study

This repository provides the presentation slides of Computer Vision Study in DAVIAN Lab.

발표자료 정리

Date	Week	Topic	Presenters	Slides
2019.01.14	Week01	Brief Introduction to weakly supervision	박정수	Slides
2019.01.14	Week01	Class Activation Map Series	김강열	Slides
2019.01.21	Week02	MDNet	박성현	Slides
2019.01.21	Week02	Object Detection	김용규	Slides
2019.01.28	Week03	BiDAF	박성현	Slides
2019.01.28	Week03	DFNet	김강열	Slides
2019.02.11	Week04	Universal Language Model Fine-tuning for Text Classification	김용규	Slides
2019.02.11	Week04	VAE	박정수	Slides
2019.02.19	Week05	SAGAN	김강열	Slides
2019.02.19	Week05	Style Transfer	박성현	Slides
2019.03.17	Week06	CAVE	박정수	Slides
2019.03.17	Week06	TADAM	김용규	Slides
2019.03.28	Week07	PADA	김강열	Slides
2019.03.28	Week07	PDB ConvLSTM	박성현	Slides
2019.04.04	Week08	Generative Multi-Adversarial Network	김용규	Slides
2019.04.04	Week08	Text Style Transfer Cross Alignment	박정수	Slides
2019.04.11	Week09	Universal Style Transfer & GDWCT	김강열	Slides
2019.04.11	Week09	Social GAN	박성현	Slides
2019.05.02	Week10	Content Preserving Text Generation with Attribute Controls	박정수	Slides
2019.05.02	Week10	DLOW	김용규	Slides
2019.05.09	Week11	VQG for Unknown Objects	박성현	Slides
2019.05.09	Week11	InstaGAN	김강열	Slides
2019.05.21	Week12	Von Mises-Fisher Loss	박정수	Slides
2019.05.21	Week12	Learning Loss for Active Learning	김용규	Slides
2019.06.04	Week13	CP-VITON	박성현	Slides
2019.06.04	Week13	GDWCT	김강열	Slides
2019.06.25	Week14	BERT	박정수	Slides
2019.06.25	Week14	TransGAGA	김용규	Slides
2019.07.18	Week15	Self-supervised GAN	박성현	Slides
2019.07.18	Week15	Separate to Adapt	김강열	Slides
2019.07.25	Week16	AET vs AED	박성현	Slides
2019.07.25	Week16	MSGAN	김용규	Slides
2019.08.02	Week17	Anti-Aliasing CNN	김강열	Slides
2019.08.02	Week17	Neural Discrete Representation Learning	박정수	Slides
2019.08.09	Week18	Unsupervised Part-Based of Object Shape and Appearance	박성현	Slides
2019.08.09	Week18	Y-Autoencoders	김용규	Slides
2019.08.16	Week19	dSNE	김강열	Slides
2019.08.16	Week19	Theory and Experiments on VQ Autoencoders	박정수	Slides
2019.09.03	Week20	DDPAE	박성현	Slides
2019.09.03	Week20	FineGAN	김용규	Slides
2019.09.18	Week21	ELEGANT	김강열	Slides
2019.09.18	Week21	Robust NMT	박정수	Slides
2019.09.24	Week22	WarpGAN	박성현	Slides
2019.09.24	Week22	Image Generation from Layout	김용규	Slides
2019.10.01	Week23	Robust Inference via Generative Classifiers for Handling Noisy Labels	김강열	Slides
2019.10.01	Week23	Weakly Supervised Semantic Segmentation	이준수	Slides
2019.10.08	Week24	Colorful Image Colorization	이정수	Slides
2019.10.08	Week24	Learning Hierarchical Features	김응엽	Slides
2019.10.15	Week25	WUTON	박성현	Slides
2019.10.15	Week25	Gradient Matching Generative Networks for Zero-Shot Learning	김용규	Slides
2019.11.19	Week26	OOD Detection	김강열	Slides
2019.11.26	Week27	Attention is all you need	이정수	Slides
2019.11.26	Week27	Knowing When to Look	이준수	Slides
2019.12.03	Week28	When Does Label Smoothing help?	김응엽	Slides
2019.12.23	Week29	Rethinking Feature Distribution for Loss Functions	김강열	Slides
2019.12.23	Week29	StyleGAN2	박성현	Slides
2020.01.09	Week30	Real or not real, that is the question	조영우	Slides
2020.01.09	Week30	Video Re-targeting	이준수	Slides
2020.01.21	Week31	Mining GOLD Samples for Conditional GANs	김용규	Slides
2020.01.21	Week31	Memory Replay GANs	김응엽	Slides
2020.01.28	Week32	Generating High-Resolution Fashion Model Images	최승환	Slides
2020.01.28	Week32	Seeing through the Human Reporting Bias	조원웅	Slides
2020.02.04	Week33	Recurrent Models of Visual Attention	이상현	Slides
2020.02.04	Week33	StarGAN-v2	김강열	Slides
2020.02.11	Week34	Latent ODEs	박성현	Slides
2020.02.18	Week35	GANalyze	조원웅	Slides
2020.02.18	Week35	Self-supervised learning of a facial attribute	이준수	Slides
2020.02.25	Week36	Learning Joint 2D-3D Representations	최성하	Slides
2020.03.03	Week37	On the Relationship between SA and Conv	김응엽	Slides
2020.03.03	Week37	The sound of pixels	조영우	Slides
2020.03.10	Week38	Detecting Photoshopped Faces	최승환	Slides
2020.03.10	Week38	Stand-Alone Self-Attention	이상현	Slides
2020.03.19	Week39	Momentum Contrast	김용규	Slides
2020.03.19	Week39	Unsupervised keypoint for class-conditional video prediction	김강열	Slides
2020.03.26	Week40	BigGAN	박성현	Slides
2020.04.02	Week41	Cotrastive Learning	이준수	Slides
2020.04.09	Week42	CondConv	김응엽	Slides
2020.04.09	Week42	Side Window Filtering	이상현	Slides
2020.04.16	Week43	Deep Image Spatial Transformation	김용규	Slides
2020.04.16	Week43	Learning to simulate complex physics	조영우	Slides
2020.04.30	Week44	Normalizing Flow	박성현	Slides
2020.04.30	Week44	TAGAN	김강열	Slides
2020.05.07	Week45	Contrastive Learning	이준수	Slides
2020.05.21	Week46	Attentive CutMix	김응엽	Slides
2020.05.21	Week46	CoCo-GAN	이상현	Slides
2020.06.11	Week47	Semantically Multi-modal Image Synthesis	김용규	Slides
2020.06.11	Week47	Stego Network	조영우	Slides
2020.06.18	Week48	Density Estimation	김강열	Slides
2020.06.18	Week48	TUNIT	박성현	Slides
2020.07.08	Week49	Training GAN with Limited Data	박성현	Slides
2020.07.08	Week49	UGATIT	이정수	Slides
2020.07.15	Week50	Axiomatic Attribution	김응엽	Slides
2020.07.15	Week50	Classifying, Segmenting, and Tracking	조경민	Slides
2020.07.22	Week51	Hypergraph Attention networks	김태희	Slides
2020.07.22	Week51	TextVQA	이지현	Slides
2020.07.29	Week52	SeFA	박정훈	Slides
2020.07.29	Week52	Interactive Image Segmentation via BRS	김태우	Slides
2020.08.05	Week53	Class-Balanced Loss	윤주열	Slides
2020.08.05	Week53	Image Sentiment Transfer	정채연	Slides
2020.08.12	Week54	PointNet	조영우	Slides
2020.08.12	Week54	Unsupervised Learning	이민수	Slides
2020.08.19	Week55	Learning De-biased Representations	이준수	Slides
2020.08.19	Week55	On Calibration	김강열	Slides
2020.08.26	Week56	Face Normalization	이정수	Slides
2020.09.01	Week57	FastGCN	이상현	Slides
2020.09.01	Week57	Rewriting a Deep Generative Model	김응엽	Slides
2020.09.08	Week58	Daytime Translation	박성현	Slides
2020.09.15	Week59	Bottom-Up and Top-down Attention VQA	허경훈	Slides
2020.09.15	Week59	MRI Cross-Modality I2I Translation	이한얼	Slides
2020.09.22	Week60	FlowNet	조경민	Slides
2020.09.22	Week60	Generative Query Network	이규복	Slides
2020.10.06	Week61	An Image is worth 16x16 words	김태희	Slides
2020.10.06	Week61	RAFT	김진희	Slides
2020.10.13	Week62	Interactive Seg with First Click	김태우	Slides
2020.10.13	Week62	SPADE & SEAN	이민수	Slides
2020.10.20	Week63	Learning from Failure	이지현	Slides
2020.10.20	Week63	Maintaining Discrimination and Fairness	정채연	Slides
2020.10.27	Week64	CSI	박정훈	Slides
2020.10.27	Week64	Underexposed Photo Enhancement	윤주열	Slides
2020.12.01	Week65	COCO-FUNIT	이준수	Slides
2020.12.08	Week66	How to Start Training	조영우	Slides
2020.12.08	Week66	Shape Bias	이정수	Slides
2020.12.15	Week67	Devil is in the Edges	이상현	Slides
2020.12.15	Week67	Texture Bias	김응엽	Slides
2020.12.22	Week68	Differential Augmentation	이한얼	Slides
2020.12.22	Week68	NeRF	박성현	Slides
2021.01.04	Week69	ADVENT	정상헌	Slides
2021.01.04	Week69	EfficientDet	김진희	Slides
2021.01.11	Week70	SimSiam	이민수	Slides
2021.01.18	Week71	SEED	김태성	Slides
2021.01.22	Week71	ManiGAN	윤주열	Slides
2021.02.01	Week72	MaskGAN	김태우	Slides
2021.02.08	Week73	First Order Motion Model	이준수	Slides
2021.02.08	Week73	Maximum Classifier Discrepancy	이정수	Slides
2021.02.22	Week74	Adversarial Mixing	김응엽	Slides
2021.02.22	Week74	BézierSketch	이상현	Slides
2021.03.01	Week75	RIDE	박성현	Slides
2021.03.01	Week75	TrainingOnlyBN	조영우	Slides
2021.03.22	Week76	DeformableDETR	김태성	Slides
2021.03.22	Week76	DeepDoubleDescent	김진희	Slides
2021.03.29	Week77	LambdaNetworks	윤주열	Slides
2021.03.29	Week77	LOHO	김태우	Slides
2021.04.05	Week78	DeepSnake	양소영	Slides
2021.04.05	Week78	FastGAN	공채린	Slides
2021.04.12	Week79	CrossDatasetSegmentation	정상헌	Slides
2021.04.12	Week79	GAN2Shape	이민수	Slides
2021.04.19	Week80	GLOM	박민호	Slides
2021.04.19	Week80	RepurposingGANs	김강열	Slides
2021.04.26	Week81	WeightAgnosticNN	조영우	Slides
2021.04.26	Week81	YOLOF	최동민	Slides
2021.05.03	Week82	Diffusion	이상현	Slides
2021.05.03	Week82	ScalingLocalSelfAttention	황성원	Slides
2021.05.10	Week83	LayeredDepthInpainting	정채연	Slides
2021.05.17	Week84	BarlowTwins	김진희	Slides
2021.05.24	Week85	IntrinsicDimension	공채린	Slides
2021.05.24	Week85	OneShotFreeViewNTH	김태우	Slides
2021.05.31	Week86	Involution	윤주열	Slides
2021.05.31	Week86	MLPMixer	이민수	Slides
2021.06.07	Week87	SegmentationTransformer	박민호	Slides
2021.06.07	Week87	VQGQN	양소영	Slides
2021.06.14	Week88	PretrainedTransformer	조영우	Slides
2021.06.21	Week89	SwinTransformer	황성원	Slides
2021.06.28	Week90	BoxInst	최동민	Slides
2021.06.28	Week90	StyleSpace	김응엽	Slides
2021.07.05	Week91	SegFormer	정상헌
2021.07.05	Week91	InverseForm	이상현
2021.07.12	Week92	Co-Modulated GAN	정채연
2021.07.12	Week92	Free Lunch	김태성
2021.07.19	Week93	FC Panoptic	김민정
2021.07.19	Week93	Only a Matter of Style	김태우
2021.07.26	Week94	pi-GAN	이민수
2021.08.02	Week95	semanticGAN	박여정
2021.08.02	Week95	GIRAFFE	박민호
2021.08.09	Week96	3D Garment	박세직
2021.08.09	Week96	Deep Edge	이상현
2021.08.16	Week97	4D Facial Avatar	형준하
2021.08.16	Week97	StyleMapGAN	이한얼
2021.08.23	Week98	FCOS	박지호
2021.08.23	Week98	RobustNet	정상헌
2021.08.30	Week99	General Continual Learning	최성하
2021.08.30	Week99	Tensor decomposition	조영우
2021.09.06	Week100	Continual Learning with hypernetworks	황성원
2021.09.06	Week100	Vision Transformers See	문종학
2021.09.13	Week101	Estimating Gradients	이상윤
2021.09.13	Week101	KiloNeRF	조경민
2021.09.27	Week102	Sketch Your Own GAN	김태우
2021.09.27	Week102	NeRFactor	정채연
2021.10.04	Week103	Deep-MAC	박민호
2021.10.04	Week103	Pose with Style	이민수
2021.10.11	Week104	CUT	박여정
2021.10.11	Week104	VATT	박세직
2021.10.18	Week105	CBNetV2	윤주열
2021.10.18	Week105	StyleNeRF	형준하
2021.10.25	Week106	Self-EMD	문종학
2021.11.01	Week107	Demystifying Neural Style Transfer	이한얼
2021.11.01	Week107	One-Class Classifier	이관호
2021.11.29	Week108	Unaligned I2I	박여정
2021.12.06	Week109	Jigsaw Clustering	남혜린
2021.12.06	Week109	SuperGlue	박민호
2021.12.13	Week110	Open World Object Detection	박세직
2021.12.13	Week110	Social Media Videos	이민수
2021.12.20	Week111	Deep Image Prior	이한얼
2021.12.27	Week112	Swin Transformer V2	윤주열
2021.12.27	Week112	DDPM	형준하
2022.01.03	Week113	VA-RED^2	정채연

참고자료 정리

Week-1 (2019.01.14)

• Breif Introduction to weakly supervision (박정수)

  Breif Introduction to weakly supervision

• Class Activation Map Series (김강열)

  Learning Deep Features for Discriminative Localization

  Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

  Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Week-2 (2019.01.21)

• MDNet (박성현)

  Learning Multi-Domain Convolutional Neural Networks for Visual Tracking (CVPR 2016)

• Object Detection (김용규)

  You Only Look Once: Unified, Real-Time Object Detection

Week-3 (2019.01.28)

• BiDAF (박성현)

  Bidirectional Attention Flow for Machine Comprehension (ICLR 2017)

• DFNet (김강열)

  Learning a Discriminative Feature Network for Semantic Segmentation (CVPR 2018)

Week-4 (2019.02.11)

• Universal Language Model Fine-tuning for Text Classification (김용규)

  Universal Language Model Fine-tuning for Text Classification

• VAE (박정수)

  Auto-Encoding Variational Bayes (ICLR 2014)

  Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold (CVPR 2017)

Week-5 (2019.02.19)

• SAGAN (김강열)

  Self-Attention Generative Adversarial Networks

• Style Transfer (박성현)

  Perceptual Losses for Real-Time Style Transfer and Super-Resolution (ECCV 2016)

  Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization (ICCV 2017)

  Separating Style and Content for Generalized Style Transfer (CVPR 2018)

Week-6 (2019.03.17)

• CAVE (박정수)

  Learning Structured Output Representation using Deep Conditional Generative Models (NIPS 2015)

• TADAM (김용규)

  TADAM: Task dependent adaptive metric for improved few-shot learning

Week-7 (2019.03.28)

• PADA (김강열)

  Partial Adversarial Domain Adaptation (ECCV 2018)

• PDB ConvLSTM (박성현)

  Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection (ECCV 2018)

Week-8 (2019.04.04)

• Generative Multi-Adversarial Network (김용규)

  Generative Multi-Adversarial Network (ICLR 2017)

• Text Style Transfer Cross Alignment (박정수)

  Style Transfer from Non-Parallel Text by Cross-Alignment (NIPS 2017)

Week-9 (2019.04.11)

• Universal Style Transfer & GDWCT (김강열)

  Universal Style Transfer via Feature Transforms (NIPS 2018)

  Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation (CVPR 2019)

• Social GAN (박성현)

  Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks (CVPR 2018)

Week-10 (2019.05.02)

• Content Preserving Text Generation with Attribute Controls (박정수)

  Content Preserving Text Generation with Attribute Controls (NIPS 2018)

• DLOW : Domain Flow for Adaptation and Generalization (김용규)

  DLOW : Domain Flow for Adaptation and Generalization (CVPR 2019 Oral)

Week-11 (2019.05.09)

• VQG for Unknown Objects (박성현)

  Visual Question Generation for Class Acquisition of Unknown Objects (ECCV 2018)

• InstaGAN (김강열)

  InstaGAN: Instance-aware Image-to-Image Translation (ICLR 2019)

Week-12 (2019.05.21)

• Von Mises-Fisher Loss (박정수)

  Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs (ICLR 2019)

• Learning Loss for Active Learning (김용규)

  Learning Loss for Active Learning (CVPR 2019)

Week-13 (2019.06.04)

• CP-VITON (박성현)

  Toward Characteristic-Preserving Image-based Virtual Try-On Network (ECCV 2018)

• GDWCT (김강열)

  Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation (CVPR 2019 Oral)

Week-14 (2019.06.25)

• BERT (박정수)

  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (NAACL 2019)

• TransGAGA (김용규)

  TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation (CVPR 2019)

Week-15 (2019.07.18)

• Self-supervised GAN (박성현)

  Self-Supervised GANs via Auxiliary Rotation Loss (CVPR 2019)

• Separate to Adapt (김강열)

  Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)

Week-16 (2019.07.25)

• AET vs AED (박성현)

  AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations (CVPR 2019 Oral)

• MSGAN (김용규)

  Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR 2019)

Week-17 (2019.08.02)

• Anti-Aliasing CNN (김강열)

  Making Convolutional Networks Shift-Invariant Again (ICML 2019)

• Neural Discrete Representation Learning (박정수)

  Neural Discrete Representation Learning (NIPS 2017)

  Generating Diverse High-Fidelity Images with VQ-VAE-2

Week-18 (2019.08.09)

• Unsupervised Part-Based of Object Shape and Appearance (박성현)

  Unsupervised Part-Based of Object Shape and Appearance (CVPR 2019 Oral)

• Y-Autoencoders (김용규)

  Y-Autoencoders: disentangling latent representations via sequential encoding

Week-19 (2019.08.16)

• dSNE (김강열)

  d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding (CVPR 2019)

• Theory and Experiments on VQ Autoencoders (박정수)

  Theory and Experiments on Vector Quantized Autoencoders

Week-20 (2019.09.03)

• DDPAE (박성현)

  Learning to Decompose and Disentangle Representations for Video Prediction (NIPS 2018)

• FineGAN (김용규)

  FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery (CVPR 2019)

Week-21 (2019.09.18)

• ELEGANT (김강열)

  ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes (ECCV 2018)

• Robust NMT (박정수)

  Robust Neural Machine Translation with Doubly Adversarial Inputs

Week-22 (2019.09.24)

• WarpGAN (박성현)

  WarpGAN: Automatic Caricature Generation (CVPR 2019 Oral)

• Image Generation from Layout (김용규)

  Image Generation from Layout (CVPR 2019 Oral)

Week-23 (2019.10.01)

• Robust Inference via Generative Classifiers for Handling Noisy Labels (김강열)

  Robust Inference via Generative Classifiers for Handling Noisy Labels (ICML 2019)

• Weakly Supervised Semantic Segmentation (이준수)

  Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation (CVPR 2018)

Week-24 (2019.10.08)

• Colorful Image Colorization (이정수)

  Colorful Image Colorization (ECCV 2016)

• Learning Hierarchical Features (김응엽)

  Learning Hierarchical Features from Generative Models (ICML 2017)

Week-25 (2019.10.15)

• WUTON (박성현)

  End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On

• Gradient Matching Generative Networks for Zero-Shot Learning (김용규)

  Gradient Matching Generative Networks for Zero-Shot Learning (CVPR 2019 Oral

Week-26 (2019.11.19)

• OOD Detection (김강열)

  A baseline for detecting misclassified and out-of-distribution examples in neural networks (ICLR 2017)

  Enhancing the Reliability of Out-of-Distribution Image Detection in Neural Networks (ICLR 2018)

  Learning Confidence for Out-of-Distribution in Neural Networks

  A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks (NIPS 2018)

Week-27 (2019.11.26)

• Attention is all you need (이정수)

  Attention is all you need (NIPS 2017)

• Knowing When to Look (이준수)

  KnowingWhen to Look: AdaptiveAttention via aVisual Sentinel for Image Captioning (CVPR 2017)

Week-28 (2019.12.03)

• When Does Label Smoothing help? (김응엽)

  When Does Label Smoothing help? (NIPS 2019 Oral)

Week-29 (2019.12.23)

• Rethinking Feature Distribution for Loss Functions (김강열)

  Rethinking Feature Distribution for Loss Functions in Image Classification (CVPR 2018)

• StyleGAN2 (박성현)

  A Style-Based Generator Architecture for Generative Adversarial Networks (CVPR 2019)

  Analyzing and Improving the Image Quality of StyleGAN

Week-30 (2020.01.09)

• Real or not real, that is the question (조영우)

  Real or not real, that is the question (ICLR 2020 Spotlight)

• Video Re-targeting (이준수)

  Animating Arbitrary Objects via Deep Motion Transfer (CVPR 2019)

Week-31 (2020.01.21)

• Mining GOLD Samples for Conditional GANs (김용규)

  Mining GOLD Samples for Conditional GANs (NIPS 2019)

• Memory Replay GANs (김응엽)

  Memory Replay GANs: learning to generate images from new categories without forgetting (NIPS 2018)

Week-32 (2020.01.28)

• Generating High-Resolution Fashion Model Images (최승환)

  Generating High-Resolution Fashion Model Images Wearing Custom Outfits (ICCV 2019 Workshop)

• Seeing through the Human Reporting Bias (조원웅)

  Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels (CVPR 2016)

Week-33 (2020.02.04)

• Recurrent Models of Visual Attention (이상현)

  Recurrent Models of Visual Attention (NIPS 2014)

• StarGAN-v2 (김강열)

  StarGAN v2: Diverse Image Synthesis for Multiple Domains (CVPR 2020)

Week-34 (2020.02.11)

• Latent ODEs (박성현)

  Neural Ordinary Differential Equations (NIPS 2018 Best Paper)

  Latent ODEs for Irregularly-Sampled Time Series (NIPS 2019)

Week-35 (2020.02.18)

• GANalyze (조원웅)

  GANalyze: Toward Visual Definitions of Cognitive Image Properties (ICCV 2019)

• Self-supervised learning of a facial attribute (이준수)

  Self-supervised learning of a facial attribute embedding from video (BMVC 2018 Oral)

Week-36 (2020.02.25)

• Learning Joint 2D-3D Representations (최성하)

  Learning Joint 2D-3D Representations for Depth Completion (ICCV 2019)

Week-37 (2020.03.03)

• On the Relationship between SA and Conv (김응엽)

  On the Relationship between Self-Attention and Convolutional Layers (ICLR 2020)

• The sound of pixels (조영우)

  The Sound of Pixels (ECCV 2018)

Week-38 (2020.03.10)

• Detecting Photoshopped Faces (최승환)

  Detecting Photoshopped Faces by Scripting Photoshop (ICCV 2019)

• Stand-Alone Self-Attention (이상현)

  Stand-Alone Self-Attention in Vision Models (NIPS 2019)

Week-39 (2020.03.19)

• Momentum Contrast (김용규)

  Momentum Contrast for Unsupervised Visual Representation Learning (CVPR 2020)

• Unsupervised keypoint for class-conditional video prediction (김강열)

  Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction (NIPS 2019)

Week-40 (2020.03.26)

• BigGAN (박성현)

  Large Scale GAN Training for High Fidelity Natural Image Synthesis (ICLR 2019)

Week-41 (2020.04.02)

• Cotrastive Learning (이준수)

  A Simple Framework for Contrastive Learning of Visual Representations

Week-42 (2020.04.09)

• CondConv (김응엽)

  CondConv: Conditionally Parameterized Convolutions for Efficient Inference (NIPS 2019)

• Side Window Filtering (이상현)

  Side Window Filtering (CVPR 2019)

Week-43 (2020.04.16)

• Deep Image Spatial Transformation (김용규)

  Deep Image Spatial Transformation for Person Image Generation (CVPR 2020)

• Learning to simulate complex physics (조영우)

  Learning to Simulate Complex Physics with Graph Networks

Week-44 (2020.04.30)

• Normalizing Flow (박성현)

  Variational Inference with Normalizing Flow (ICML 2015)

• TAGAN (김강열)

  Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language (NIPS 2018)

Week-45 (2020.05.07)

• Contrastive Learning (이준수)

  A Simple Framework for Contrastive Learning of Visual Representations (ICML 2020)

  Supervised Contrastive Learning

Week-46 (2020.05.21)

• Attentive CutMix (김응엽)

  Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification (ICASSP 2020)

• CoCo-GAN (이상현)

  COCO-GAN: Generation by Parts via Conditional Coordinating (ICCV Oral)

Week-47 (2020.06.11)

• Semantically Multi-modal Image Synthesis (김용규)

  Semantically Multi-modal Image Synthesis (CVPR 2020)

• Stego Network (조영우)

  Hiding Images in Plain Sight: Deep Steganography (NIPS 2017)

  HiDDeN: Hiding Data With Deep Networks (ECCV 2018)

Week-48 (2020.06.18)

• Density Estimation (김강열)

  Density estimation in representation space to predict model uncertainty

• TUNIT (박성현)

  Rethinking the Truly Unsupervised Image-to-Image Translation

Week-49 (2020.07.08)

• Training GAN with Limited Data (박성현)

  Training Generative Adversarial Networks with Limited Data

• UGATIT (이정수)

  U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

Week-50 (2020.07.15)

• Axiomatic Attribution (김응엽)

  Axiomatic Attribution for Deep Networks (ICML 2017)

• Classifying, Segmenting, and Tracking (조경민)

  Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation (CVPR 2020 Oral)

Week-51 (2020.07.22)

• Hypergraph Attention networks (김태희)

  Hypergraph Attention Networks for Multimodal Learning (CVPR 2020)

• TextVQA (이지현)

  Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA (CVPR 2020)

Week-52 (2020.07.29)

• SeFA (박정훈)

  Closed-Form Factorization of Latent Semantics in GANs

• Interactive Image Segmentation via BRS (김태우)

  Interactive Image Segmentation via Backpropagating Refinement Scheme (CVPR 2019)

Week-53 (2020.08.05)

• Class-Balanced Loss (윤주열)

  Class-Balanced Loss Based on Effective Number of Samples (CVPR 2019)

• Image Sentiment Transfer (정채연)

  Image Sentiment Transfer (ACM Multimedia 2020)

Week-54 (2020.08.12)

• PointNet (조영우)

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (CVPR 2017)

• Unsupervised Learning (이민수)

  Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (CVPR 2020 Best Paper)

Week-55 (2020.08.19)

• Learning De-biased Representations (이준수)

  Learning De-biased Representations with Biased Representations (ICML 2020)

• On Calibration (김강열)

  On Calibration of Modern Neural Networks (ICML 2017)

Week-56 (2020.08.26)

• Face Normalization (이정수)

  Unsupervised Face Normalization with Extreme Pose and Expression in the Wild (CVPR 2019)

Week-57 (2020.09.01)

• FastGCN (이상현)

  FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling (ICML 2018)

• Rewriting a Deep Generative Model (김응엽)

  Rewriting a Deep Generative Model (ECCV 2020 Oral)

Week-58 (2020.09.08)

• Daytime Translation (박성현)

  High-Resolution Daytime Translation without Domain Labels (CVPR 2020 Oral)

Week-59 (2020.09.15)

• Bottom-Up and Top-down Attention VQA (허경훈)

  Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering (CVPR 2018 Oral)

• MRI Cross-Modality I2I Translation (이한얼)

  MRI Cross-Modality Image-to-Image Translation

Week-60 (2020.09.22)

• FlowNet (조경민)

  FlowNet: Learning Optical Flow with Convolutional Networks (ICCV 2015)

• Generative Query Network (이규복)

  Neural scene representation and rendering

Week-61 (2020.10.06)

• An Image is worth 16x16 words (김태희)

  An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

• RAFT (김진희)

  RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (ECCV 2020 Best Paper)

Week-62 (2020.10.13)

• Interactive Seg with First Click (김태우)

  Interactive Image Segmentation with First Click Attention (CVPR 2020)

• SPADE & SEAN (이민수)

  Semantic Image Synthesis with Spatially-Adaptive Normalization (CVPR 2019 Oral)

  SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020 Oral)

Week-63 (2020.10.20)

• Learning from Failure (이지현)

  Learning from Failure: Training Debiased Classifier from Biased Classifier (NIPS 2020)

• Maintaining Discrimination and Fairness (정채연)

  Maintaining Discrimination and Fairness in Class Incremental Learning (CVPR 2020)

Week-64 (2020.10.27)

• CSI (박정훈)

  CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NIPS 2020)

• Underexposed Photo Enhancement (윤주열)

  Underexposed Photo Enhancement using Deep Illumination Estimation (CVPR 2019)

Week-65 (2020.12.01)

• COCO-FUNIT (이준수)

  COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder (ECCV 2020 Spotlight)

Week-66 (2020.12.08)

• How to Start Training (조영우)

  How to Start Training: The Effect of Initialization and Architecture (NIPS 2018)

• Shape Bias (이정수)

  Does Enhanced Shape Bias Improve Neural Network Robustness to Common Corruptions?

Week-67 (2020.12.15)

• Devil is in the Edges (이상현)

  Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations (CVPR 2019 Oral)

• Texture Bias (김응엽)

  The Origins and Prevalence of Texture Bias in Convolutional Neural Networks (NIPS 2020)

Week-68 (2020.12.22)

• Differential Augmentation (이한얼)

  Differentiable Augmentation for Data-Efficient GAN Training (NIPS 2020)

• NeRF (박성현)

  NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ECCV 2020 Best Paper)

Week-69 (2021.01.04)

• ADVENT (정상헌)

  ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation (CVPR 2019)

• EfficientDet (김진희)

  EfficientDet: Scalable and Efficient Object Detection (CVPR 2020)

Week-70 (2021.01.11)

• SimSiam (이민수)

  Exploring Simple Siamese Representation Learning

Week-71 (2021.01.18)

• SEED (김태성)

  SEED: Self-supervised Distillation For Visual Representation (ICLR 2021)

• ManiGAN (윤주열)

  ManiGAN: Text-Guided Image Manipulation (CVPR 2020)

Week-72 (2021.02.01)

• MaskGAN (김태우)

  MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (CVPR 2020)

Week-73 (2021.02.08)

• First Order Motion Model (이준수)

  First Order Motion Model for Image Animation (NIPS 2019)

• Maximum Classifier Discrepancy (이정수)

  Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (CVPR 2018 Oral)

Week-74 (2021.02.22)

• Adversarial Mixing (김응엽)

  Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations (CVPR 2020)

• BézierSketch (이상현)

  BézierSketch: A generative model for scalable vector sketches (ECCV 2020)

Week-75 (2021.03.01)

• RIDE (박성현)

  Long-tailed Recognition by Routing Diverse Distribution-Aware Experts (ICLR 2021)

• TrainingOnlyBN (조영우)

  Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs (ICLR 2021)

Week-76 (2021.03.22)

• DeformableDETR (김태성)

  Deformable DETR: Deformable Transformers for End-to-End Object Detection (ICLR 2021 Oral)

• DeepDoubleDescent (김진희)

  Deep Double Descent: Where Bigger Models and More Data Hurt (ICLR 2020)

Week-77 (2021.03.29)

• LambdaNetworks (윤주열)

  LambdaNetworks: Modeling Long-Range Interactions Without Attention (ICLR 2021)

• LOHO (김태우)

  LOHO: Latent Optimization of Hairstyles via Orthogonalization (CVPR 2021)

Week-78 (2021.04.05)

• DeepSnake (양소영)

  Deep Snake for Real-Time Instance Segmentation (CVPR 2021 Oral)

• FastGAN (공채린)

  Towards Faster and Stabilized GAN Training For High-fidelity Few-shot Image Synthesis (ICLR 2021)

Week-79 (2021.04.12)

• CrossDatasetSegmentation (정상헌)

  Cross-Dataset Collaborative Learning for Semantic Segmentation (CVPR 2021)

• GAN2Shape (이민수)

  Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs (ICLR 2021 Oral)

Week-80 (2021.04.19)

• GLOM (박민호)

  How to represent part-whole hierarchies in a neural network (Arxiv)

• RepurposingGANs (김강열)

  Repurposing GANs for One-shot Semantic Part Segmentation (CVPR 2021 Oral)

Week-81 (2021.04.26)

• WeightAgnosticNN (조영우)

  Weight Agnostic Neural Networks (NeurIPS 2019)

• YOLOF (최동민)

  You Only Look One-level Feature (CVPR 2021)

Week-82 (2021.05.03)

• Diffusion (이상현)

  Denoising Diffusion Probabilistic Model (NeurIPS 2020)

• ScalingLocalSelfAttention (황성원)

  Scaling Local Self-Attention for Parameter Efficient Visual Bacbones (CVPR 2021 Oral)

Week-83 (2021.05.10)

• LayeredDepthInpainting (정채연)

  3D Photography using Context-aware Layered Depth Inpainting (CVPR 2020)

Week-84 (2021.05.17)

• BarlowTwins (김진희)

  Barlow Twins: Self-Supervised Learning via Redundancy Reduction (ICML 2021)

Week-85 (2021.05.24)

• IntrinsicDimension (공채린)

  The Intrinsic Dimension of Images and Its Impact on Learning (ICLR 2021)

• OneShotFreeViewNTH (김태우)

  One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing (CVPR 2021 Oral)

Week-86 (2021.05.31)

• Involution (윤주열)

  Involution: Inverting the Inherence of Convolution for Visual Recognition (CVPR 2021)

• MLPMixer (이민수)

  MLP-Mixer: An all-MLP Architecture for Vision (Arxiv)

Week-87 (2021.06.07)

• SegmentationTransformer (박민호)

  Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation (ECCV 2020)

• VQGQN (양소영)

  Taming Transformers for High-Resolution Image Synthesis (CVPR 2021 Oral)

Week-88 (2021.06.14)

• PretrainedTransformer (조영우)

  Pretrained Transformers as Universal Computation Engines (NeurIPS 2021)

Week-89 (2021.06.21)

• SwinTransformer (황성원)

  Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (Arxiv)

Week-90 (2021.06.28)

• BoxInst (최동민)

  BoxInst: High-Performance Instance Segmentation with Box Annotations (CVPR 2021)

• StyleSpace (김응엽)

  StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation (CVPR 2021 Oral)

Week-91 (2021.07.05)

• SegFormer (정상헌)

  SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers (NeurIPS 2021)

• InverseForm (이상현)

  [InverseForm: A Loss Function for Structured Boundary-Aware Segmentation (CVPR 2021 Oral)]((https://arxiv.org/abs/2104.02745)

Week-92 (2021.07.12)

• Co-Modulated GAN (정채연)

  Large Scale Image Completion via Co-Modulated Generative Adversarial Networks (ICLR 2021)

• Free Lunch (김태성)

  [Free Lunch for Few-shot Learning: Distribution Calibration (ICLR 2021 Oral)]((https://arxiv.org/abs/2104.02745)

Week-93 (2021.07.19)

• FC Panoptic (김민정)

  Fully Convolutional Networks for Panoptic Segmentation (CVPR 2021 Oral)

• Only a Matter of Style (김태우)

  [Only a Matter of Style: Age Transformation Using a Style-Based Regression Model (SIGGRAPH 2021)]((https://arxiv.org/abs/2102.02754)

Week-94 (2021.07.26)

• pi-GAN (이민수)

  pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis (CVPR 2021 Oral)

Week-95 (2021.08.02)

• semanticGAN (박여정)

  Semantic Segmentation with Generative Models (semanticGAN): Semi-Supervised Learning and Strong Out-of-Domain Generalization (CVPR 2021)

• GIRAFFE (박민호)

  GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields (CVPR 2021 Best Paper)

Week-96 (2021.08.09)

• 3D Garment (박세직)

  Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On (CVPR 2021)

• Deep Edge (이상현)

  Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects (ICCV 2021 Oral)

Week-97 (2021.08.16)

• 4D Facial Avatar (형준하)

  Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction (CVPR 2021)

• StyleMapGAN (이한얼)

  Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing (CVPR 2021)

Week-98 (2021.08.23)

• FCOS (박지호)

  FCOS: Fully Convolutional One-Stage Object Detection (CVPR 2019)

• RobustNet (정상헌)

  RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening (CVPR 2021 Oral)

Week-99 (2021.08.30)

• General Continual Learning (최성하)

  Dark Experience for General Continual Learning: a Strong, Simple Baseline (NeurIPS 2020)

• Tensor decomposition (조영우)

  [No paper]

Week-100 (2021.09.06)

• Continual Learning with hypernetworks (황성원)

  Continual learning with hypernetworks (ICLR 2020 spotlight)

• Vision Transformers See (문종학)

  Do vision transformers see like convolutional neural networks? (NeurIPS 2021)

Week-101 (2021.09.13)

• Estimating Gradients (이상윤)

  Generative Modeling by Estimating Gradients of the Data Distribution (NeurIPS 2019 Oral)

• KiloNeRF (조경민)

  KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs (ICCV 2021)

Week-102 (2021.09.27)

• Sketch Your Own GAN (김태우)

  Sketch Your Own GAN (ICCV 2020)

• NeRFactor (정채연)

  NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination (SIGGRAPH Asia 2021)

Week-103 (2021.10.04)

• Deep-MAC (박민호)

  The surprising impact of mask-head architecture on novel class segmentation (ICCV 2020)

• Pose with Style (이민수)

  Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN (SIGGRAPH Asia 2021)

Week-104 (2021.10.11)

• CUT (박여정)

  Contrastive Learning for Unpaired Image-to-Image Translation (ICCV 2020)

• VATT (박세직)

  VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text (NeurIPS 2021)

Week-105 (2021.10.18)

• CBNetV2 (윤주열)

  CBNetV2: A Composite Backbone Network Architecture for Object Detection (arxiv 2021)

• StyleNeRF (형준하)

  StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis (AAAI 2021)

Week-106 (2021.10.25)

• Self-EMD (문종학)

  Self-EMD: Self-Supervised Object Detection without ImageNet (arxiv 2020)

Week-107 (2021.11.01)

• Demystifying Neural Style Transfer (이한얼)

  Demystifying Neural Style Transfer (IJCAI 2017)

• One-Class Classifier (이관호)

  Adversarially Learned One-Class Classifier for Novelty Detection (CVPR 2018)

Week-108 (2021.11.29)

• Unaligned I2I (박여정)

  Unaligned Image-to-Image Translation by Learning to Reweight (ICCV 2021)

Week-109 (2021.12.06)

• Jigsaw Clustering (남혜린)

  Jigsaw Clustering for Unsupervised Visual Representation Learning (CVPR 2021)

• SuperGlue (박민호)

  SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020 Oral)

Week-110 (2021.12.13)

• Open World Object Detection (박세직)

  Towards Open World Object Detection (CVPR 2021 Oral)

• Social Media Videos (이민수)

  Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos (CVPR 2021 Oral)

Week-111 (2021.12.20)

• Deep Image Prior (이한얼)

  Deep Image Prior (CVPR 2018)

Week-112 (2021.12.27)

• Swin Transformer V2 (윤주열)

  Swin Transformer V2: Scaling Up Capacity and Resolution (arxiv 2021)

• DDPM (형준하)

  Denoising Diffusion Probabilistic Models (NeurIPS 2020)

Week-113 (2022.01.03)

• VA-RED^2 (정채연)

  VA-RED^2: Video Adaptive Redundancy Reduction (ICLR 2021)