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CVPR 2021 (컴퓨터 비전과 패턴인식 학회)

(Oral) FBI: Fast Blind Image Denoiser for Poisson-Gaussian Noise (Jaeseok Byun, Sungmin Cha, Taesup Moon) #문태섭 교수팀

(Oral) XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations (Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon) #윤성로 교수팀

Transitional Adaptation of Pretrained Models for Visual Storytelling (Youngjae Yu, Jiwan Chung, Jongseok Kim, Heeseung Yun, Gunhee Kim) #김건희 교수팀

StyleMix: Separating Content and Style for Enhanced Data Augmentation (Minui Hong, Jinwoo Choi, Gunhee Kim) #김건희 교수팀

Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation (Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak) #곽노준 교수팀

Interpolation-based semi-supervised learning for object detection (Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak) #곽노준 교수팀

Fair Feature Distillation for Visual Recognition (Donggyu Lee, Sangwon Jung, Taeeon Park, Taesup Moon) #문태섭 교수팀

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing (H. Kim, Y. Choi, J. Kim , S. Yoo, Y. Uh) #유승주 교수팀

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (Jungbeom Lee, Eunji Kim, Sungroh Yoon) #윤성로 교수팀

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon) #윤성로 교수팀

SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation (Sanghyun Son, Kyoung Mu Lee) #이경무 교수팀

Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video (Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee) #이경무 교수팀

Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders (Jiwoong Park, Junho Cho, Hyung Jin Chang, Jin Young Choi) #최진영 교수팀

Exemplar-Based Open-Set Panoptic Segmentation Network (Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han) #한보형 교수팀

CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback (Seungmin Lee, Dongwan Kim, Bohyung Han) #한보형 교수팀

RaSNet: Learning Tiny Models by Raster-Scanning Images (Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Bohyung Han) #한보형 교수팀

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ICLR 2021 (표현 학습 국제학회)

(Oral) Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity (JangHyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song) #송현오 교수팀

Parameter Efficient Multimodal Transformers for Video Representation Learning (Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song) #김건희 교수팀

Self-Supervised Learning of Compressed Video Representations (Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song) #김건희 교수팀

SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning (Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn, Gunhee Kim) #김건희 교수팀

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration (Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim) #김건희 교수팀

GAN2GAN: Generative noise learning for blind image denoising with single noisy images (Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, and Taesup Moon) #문태섭 교수팀

CPR: Classifier-projection regularization for continual learning (Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flavio P. Calmon, and Taesup Moon) #문태섭 교수팀

Removing Undesirable Feature Contributions Using Out-of-Distribution Data (Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon) #윤성로 교수팀

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (Yoonhyung Lee, Joongbo Shin, Kyomin Jung) #정교민 교수팀

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AAAI 2021 (국제인공지능학회)

Dual Compositional Learning in Interactive Image Retrieval (Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim) #김건희 교수팀

IB-GAN: Disengangled Representation Learning with Information Bottleneck Generative Adversarial Networks (Insu Jeon, Wonkwang Lee, Myeongjang Pyeon and Gunhee Kim) #김건희 교수팀

Self-supervised pre-training and contrastive representation learning for multiple-choice video QA (Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak) #곽노준 교수팀

Understanding Catastrophic Overfitting in Single-Step Adversarial Training (Hoki Kim, Woojin Lee, Jaewook Lee) #이재욱 교수팀

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA (Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak Zhang) #장병탁 교수팀

Kernel-Convoluted Deep Neural Networks with Data Augmentation (Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik) #조명희 교수팀

Neural Sequence-to-grid Module for Learning Symbolic Rules (Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung) #정교민 교수팀

Class-Attentive Diffusion Network for Semi-Supervised Classification (Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi) #최진영 교수팀

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks (Youngmin Ro, Jin Young Choi) #최진영 교수팀

Image-to-Image Retrieval by Learning Similarity between Scene Graphs (Sangwoong Yoon, Woo Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim) 

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NeurIPS 2020 (신경정보처리시스템학회)

(Oral) Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search (Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon) #윤성로 교수팀

(Spotlight) Nimble: Lightweight Execution of Deep Neural Networks on a GPU (Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun) #전병곤 교수팀

SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds (Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Joun Yeop Lee, Nam Soo Kim) #김남수 교수팀

Position-based Scaled Gradient for Model Quantization and Sparse Training (Jangho Kim, KiYoon Yoo, Nojun Kwak) #곽노준 교수팀

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards (Kyungjae Lee, Hongjun Yang, Sungbin Lim (Korea University), Songhwai Oh) #오성회 교수팀

NanoFlow: scalable normalizing flows with sublinear parameter complexity (Sang-gil Lee, Sungwon Kim, Sungroh Yoon) #윤성로 교수팀

Adaptive Learning for Fast Adaptation (Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee) #이경무 교수팀

Lipschitz-Certifiable Training with a Tight Outer Bound (Sungyoon Lee, Jaewook Lee, Saerom Park) #이재욱 교수팀

Proximity Operator of the Matrix Perspective Function and its Applications (Joong-Ho Won) #원중호 교수

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud (SEOHYUN KIM, JaeYoo Park, Bohyung Han) #한보형 교수팀

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs (Dasol Hwang, Jinyoung Park, Sunyoung Kwon, KyungMin Kim , Jung-Woo Ha , Hyunwoo Kim) 

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EMNLP 2020 (자연어처리에서의 경험적 방법론 학회)

Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness (Hyunwoo Kim, Byeongchang Kim and Gunhee Kim) #김건희 교수팀

Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model (Bugeun Kim, Kyung Seo Ki, Donggeon Lee and Gahgene Gweon) #권가진 교수팀

Interpretation of NLP models through input marginalization (Siwon Kim, Jihun Yi, Eunji Kim and Sungroh Yoon) #윤성로 교수팀

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation (Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee) #이상구 교수팀

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ECCV 2020 (유럽 컴퓨터 비전 학회)

(Oral) Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning (Jaekyeom Kim, Hyoungseok Harry Kim and Gunhee Kim) #김건희 교수팀

(Spotlight) Character Grounding and Re-Identification in Story of Videos and Text Descriptions (Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and Gunhee Kim) #김건희 교수팀

Imbalanced Continual Learning with Partitioning Reservoir Sampling (Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim) #김건희 교수팀

Rethinking Class Activation Mapping for Weakly Supervised Object Localization (Junhyug Noh, Wonho Bae and Gunhee Kim) #김건희 교수팀

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation (John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak) #곽노준 교수팀

Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations (Sungheon Park, Minsik Lee, Nojun Kwak) #곽노준 교수팀

PROFIT: A Novel Training Method for sub-4-bit MobileNet Models (Eunhyeok Park, Sungjoo Yoo) #유승주 교수팀

iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수팀

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image (Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee) #이경무 교수팀

DeepHandMesh: Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling from a Single RGB Image (Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee) #이경무 교수팀

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image (Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from 2D Human Pose (Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀

Learning to Optimize Domain Specific Normalization for Domain Generalization (Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, Bohyung Han) #한보형 교수팀

Task-Aware Quantization Network for JPEG Image Compression (Jinyoung Choi, Bohyung Han) #한보형 교수팀

Traffic Accident Analysis by Cause and Effect Events Localization (Tackgeun You, Bohyung Han) #한보형 교수팀

URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark (Seonguk Seo, Joon-Young Lee, and Bohyung Han) #한보형 교수팀

Learning Visual Context by Comparison (Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo)

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ICML 2020 (국제머신러닝학회)

Feature-map-level Online Adversarial Knowledge Distillation (Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak) #곽노준 교수팀

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik) #조명희 교수팀

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup (Jang-Hyun Kim, Wonho Choo, Hyun Oh Song) #송현오 교수팀

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ACL Recommender Systems 2020 (ACL 추천 시스템 학회)

MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation (S. Cho, E. Park, S. Yoo) #유승주 교수팀

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CVPR 2020 (컴퓨터 비전과 패턴인식 학회)

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization (Saehyung Lee, Hyungyu Lee, Sungroh Yoon) #윤성로 교수팀

Learning to Forget for Meta-Learning (Sungyong Baik, Seokil Hong, Kyoung Mu Lee) #이경무 교수팀

Hypergraph Attention Networks for Multimodal Learning (Eun-Sol Kim, Woo Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Generalized Product Quantization Network for Semi-Supervised Image Retrieval (Young Kyun Jang, Nam Ik Cho) #조남익 교수팀

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho) #조남익 교수팀

Meta-Transfer Learning for Zero-Shot Super-Resolution (Jae Woong Soh, Sunwoo Cho, Nam Ik Cho) #조남익 교수팀

Separating Particulate Matter From a Single Microscopic Image (Tushar Sandhan, Jin Young Choi) #최진영 교수팀

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CVPR 2020 Workshop (컴퓨터 비전과 패턴인식 학회 워크숍)

StackNet: Stacking Parameters for Continual learning (Jangho Kim, Jeesoo Kim, Nojun Kwak) #곽노준 교수팀

LSQ+: Improving low-bit quantization through learnable offsets and better initialization (Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak) #곽노준 교수팀

iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수팀

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IEEE Signal Processing Letters 2020 (IEEE 신호처리 학술지)

Dual Path Denoising Network for Real Photographic Noise (Yeong Il Jang, Yoonsik Kim, Nam Ik Cho) #조남익 교수팀

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IEEE Transactions on Communications (IEEE 통신 트랜잭션 학술지)

Deep Neural Network Based Active User Detection for Grant-Free NOMA Systems (Wonjun Kim, Yongjun Ahn, and Byonghyo Shim) #심병효 교수팀

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IEEE Robotics and Automation Letters (RA-L) (IEEE 로봇 자동화 학술지)

Learning-Based Fingertip Force Estimation for Soft Wearable Hand Robot With Tendon-Sheath Mechanism (Brian Byunghyun Kang, Daekyum Kim, Hyungmin Choi, Useok Jeong, Kyu Bum Kim, Sungho Jo, and Kyu-Jin Cho) #조규진 교수팀

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ICLR 2020 (표현 학습 국제학회)

(Spotlight)Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue (Byeongchang Kim, Jaewoo Ahn and Gunhee Kim) #김건희 교수팀

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning (Soochan Lee, Junsoo Ha, Dongsu Zhang and Gunhee Kim) #김건희 교수팀

From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech (Hyeong-Seok Choi, Changdae Park, and Kyogu Lee) #이교구 교수팀

Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction (Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee) #이상구 교수팀

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AAAI 2020 (국제인공지능학회)

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) #곽노준 교수팀

URNet : User-Resizable Residual Networks with Conditional Gating Module (Sang-ho Lee, Simyung Chang, Nojun Kwak) #곽노준 교수팀

Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface (Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung) #성원용 교수팀

Spiking‐YOLO: Spiking Neural Network for Energy-­‐Efficient Object Detection (Seijoon Kim, Seongsik Park , Byunggook Na, Sungroh Yoon) #윤성로 교수팀

Channel Attention Is All You Need for Video Frame Interpolation (Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee) #이경무 교수팀

REST: performance improvement of a black box model via RL based spatial transformation (Jaemyung Kim, Chanwoo Park, Hyungjin Kim, and Jungwoo Lee) #이정우 교수팀

Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data : Thirty-Fourth AAAI Conf. on Artificial Intelligence (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding (Hyeongu Yun, Yongkeun Hwang and Kyomin jung) #정교민 교수팀

Associative Variational Auto-encoder with Distributed Latent Spaces and Associators (Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo , Jin Young Choi) #최진영 교수팀

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One‐Shot Channel Pruning (Ilchae Jung, Kihyun You, Hyeonwoo Noh , Minsu Cho, Bohyung Han) #한보형 교수팀

Towards Oracle Knowledge Distillation with Neural Architecture Search (Minsoo Kang, Jonghwan Mun, Bohyung Han) #한보형 교수팀

Reinforcing an Image Caption Generator using Off-­line Human Feedback (Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut) #한보형 교수팀

Context-Aware Zero-Shot Recognition (Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang) #한보형 교수팀

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