(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

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

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

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

Planar Abstraction and Inverse Rendering of 3D Indoor Environments (Young Min Kim, Sangwoo Ryu, Ig-Jae Kim) #김영민 교수

ProReveal: Progressive Visual Analytics With Safeguards (Jaemin Jo, Sehi LYi, Bongshin Lee, Jinwook Seo) #서진욱 교수팀

Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis (Youngtaek Kim, Jaeyoung Kim, Hyeon Jeon, Young-Ho Kim, Hyunjoo Song, Bohyoung Kim, Jinwook Seo) #서진욱 교수팀

Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions (Sehi LYi, Jaemin Jo, Jinwook Seo) #서진욱 교수팀

Confidence-Controlled Local Isosurfacing (Dongjoon Kim, Heewon Kye, Jeongjin Lee, Yeong-Gil Shin) #신영길 교수팀

LensIet VR: Thin, Flat and Wide-FOV Virtual Reality Display Using Fresnel Lens and LensIet Array (Kiseung Bang, Youngjin Jo, Minseok Chae, Byoungho Lee) #이병호 교수팀

Self-guided Contrastive Learning for BERT Sentence Representation (Taeuk Kim, Kangmin Yoo, and Sang-goo Lee) #이상구 교수팀

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering (Ahjeong Seo, Gi-Cheon Kang, Junhan Park, and Byoung-Tak Zhang) #장병탁 교수팀

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning (Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, and Kyomin Jung) #정교민 교수팀

Robustifying Multi-hop QA through Pseudo-Evidentiality Training (Kyungjae Lee, Seung-won Hwang, Sang-eun Han and Dohyeon Lee) #황승원 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

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

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) #박종헌 교수팀

(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

Prototype-Based Personalized Pruning (Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak) #곽노준 교수팀

Gradual Federated Learning Using Simulated Annealing (Luong Trung Nguyen, Byonghyo Shim) #심병효 교수팀

Real-Time Denoising and Dereverberation With Tiny Recurrent U-Net (Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Kyogu Lee) #이교구 교수팀

Room adaptive conditioning method for sound event classification in reverberant environments (Jaejun Lee, Donmoon Lee, Hyeong-Seok Choi, Kyogu Lee) #이교구 교수팀

Reverb Conversion of Mixed Vocal Tracks Using an End-to End Convolutional Deep Neural Network (Junghyun Koo, Seungryeol Paik, Kyogu Lee) #이교구 교수팀

Elf-Attentive VAD: Context-Aware Detection of Voice From Noise (Yong Rae Jo, Young Ki Moon, Won Ik Cho, Geun Sik Jo) 

Accelerating Neural Architecture Search via Proxy Data (Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon) #윤성로 교수팀

Masked Contrastive Learning for Anomaly Detection (Hyunsoo Cho, Jinseok Seol, Sang-goo Lee) #이상구 교수팀

CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing (Gyuhyeon Lee, Seongmin Na, Ilkwon Byun, Dongmoon Min, and Jangwoo Kim) #김장우 교수팀

ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks (Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, and Jae W. Lee) #이재욱 교수팀

BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory (Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sung Jun Jung, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices (Dongup Kwon, Dongryeong Kim, Junehyuk Boo, Wonsik Lee, and Jangwoo Kim) #김장우 교수팀

ASAP: Fast Mobile Application Switch via Adaptive Prepaging (Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, and Hongil Yoon) #이재욱 교수팀

Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyunggeun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun) #전병곤 교수팀

NeuroEngine: A Hardware-Based Event-Driven Simulation System for Advanced Brain-Inspired Computing (Hunjun Lee, Chanmyeong Kim, Yujin Chung, and Jangwoo Kim) #김장우 교수팀

MERCI: Efficient Embedding Reduction on Commodity Hardware via Sub-Query Memoization (Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, and Tae Jun Ham) #이재욱 교수팀

BCD deduplication: effective memory compression using partial cache-line deduplication (Sungbo Park, Ingab Kang, Yaebin Moon, Jung Ho Ahn, G.Edward Suh) #안정호 교수팀

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing (Youngseok Yang, Taesoo Kim, Byung-Gon Chun) #전병곤 교수팀

Learning a family of motor skills from a single motion clip Paper Abstract Author Preprint Paper Video (Seyoung Lee, Sunmin Lee, Yongwoo Lee, Jehee Lee) #이제희 교수팀

Learning Time-Critical Responses for Interactive Character Control Paper Abstract (Kyungho Lee, Sehee Min, Sunmin Lee, Jehee Lee) #이제희 교수팀

TRiM: Tensor Reduction in Memory (Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn) #안정호 교수팀

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks (Byeongho Kim, Jongwook Chung, Eojin Lee, Wonkyung Jung, Sunjung Lee, Jaewan Choi, Jaehyun Park, Minbok Wi, Sukhan Lee, Jung Ho Ahn) #안정호 교수팀

Low-Rank Matrix Completion Using Graph Neural Network (Luong Trung Nguyen, Byonghyo Shim) #심병효 교수팀