논문 3 페이지 | 서울대학교AI연구원(AIIS)



Total 183건 3 페이지
CAL 2021

Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure (Hweesoo Kim, Sunjung Lee, Jaewan Choi, Jung Ho Ahn) #안정호 교수팀

ISSCC 2021 (IEEE 국제 고체회로 학회)

A 40nm 4.81 TFLOPS/W 8b Floating-Point Training Processor for Non-Sparse Neural Networks Using Shared Exponent Bias and 24-Way Fused Multiply-Add Tree (Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon) #전동석 교수팀

ICCV 2021 (국제컴퓨터비전학회)

(Oral) Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation (H. Jung, E. Park, S. Yoo) # 유승주 교수팀

(Oral) ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon) # 윤성로 교수팀

(Oral) Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning (Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, and Kyoung Mu Lee) # 이경무 교수팀

Normalization Matters in Weakly Supervised Object Localization (Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak) # 곽노준 교수팀

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image (Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak) # 곽노준 교수팀

LFI-CAM: Learning Feature Importance for Better Visual Explanation (Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak) # 곽노준 교수팀

Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning (Sangho Lee, Jiwan Chung, Youngjae Yu (Allen Institute for AI), Gunhee Kim, Thomas Breuel (NVIDIA), Gal Chechik (NVIDIA), Yale Song (Microsoft)) # 김건희 교수팀

Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos (Heeseung Yun, Youngjae Yu (Allen Institute for AI), Wonsuk Yang (Oxford university), Kangil Lee (Hyundai Motors), Gunhee Kim) # 김건희 교수팀

Viewpoint-Agnostic Change Captioning with Cycle Consistency (Hoeseong Kim, Jongseok Kim (Violet), Hyungseok Lee (Hyundai Motors), Hyunsung Park (Hyundai Motors), Gunhee Kim) # 김건희 교수팀

Noisy Labeled Continual Learning via Self-Purified Replay (Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee Kim) # 김건희 교수팀

SS-IL: Separated Softmax for Incremental Learning (Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, and Taesup Moon) # 문태섭 교수팀

Visual Graph Memory with Unsupervised Representation for Visual Navigation (Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, and Songhwai Oh) # 오성회 교수팀

AdvRush: Searching for Adversarially Robust Neural Architectures (Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon) # 윤성로 교수팀

Toward Spatially Unbiased Generative Models (Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon) # 윤성로 교수팀

Motion-Aware Dynamic Architecture for Efficient Frame Interpolation (Myungsub Choi, Suyoung Lee, Heewon Kim, and Kyoung Mu Lee) # 이경무 교수팀

Searching for Controllable Image Restoration Networks (Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, and Kyoung Mu Lee) # 이경무 교수팀

C2N: Practical Generative Noise Modeling for Real-World Denoising (Geonwoon Jang, Wooseok Lee, Sanghyun Son, and Kyoungmu Lee) # 이경무 교수팀

3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces (Mohsen Yavartanoo, Jaeyoung Chung, Reyhaneh Neshatavar, and Kyoung Mu Lee) # 이경무 교수팀

Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval (Young Kyun Jang, Nam Ik Cho) # 조남익 교수팀

Influence-Balanced Loss for Imbalanced Visual Classification (Seuki Park, Daewoong Jo, Jin Young Choi) # 최진영 교수팀

Class-Incremental Continual Learning for Action Recognition in Videos (Jaeyoo Park, Minsoo Kang, and Bohyung Han) # 한보형 교수팀

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform (Myungseo Song, Jinyoung Choi, and Bohyung Han) # 한보형 교수팀

FAST 2021 (USENIX 파일저장기술학회)

Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs (Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks (Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

HPCA 2021 (IEEE 고성능컴퓨터구조학회)

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling (Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

ICRA 2021 (IEEE 로봇과 자동화 국제대회)

(Best Paper Award on Unmanned Aerial Vehicles) Aerial Manipulator Pushing a Movable Structure using a DOB-based Robust Controller (Dongjae Lee, Hoseong Seo, Inkyu Jang, Seung Jae Lee, and H. Jin Kim) #김현진 교수팀

Online Trajectory Planning for Multiple Quadrotors in Dynamic Environments using Relative Safe Flight Corridor (Jungwon Park, and H. Jin Kim) #김현진 교수팀

Model-based domain randomization of dynamics system with deep Bayesian locally linear embedding (J. Hyeon Park, Sungyong Park, and H. Jin Kim) #김현진 교수팀

Learning a geometric representation for data-efficient depth estimation via gradient field and contrastive loss (Dongseok Shim, and H. Jin Kim) #김현진 교수팀

Automated extrinsic calibration for 3D LiDARs with range offset correction using an arbitrary planar board (Junha Kim, Changhyeon Kim, Youngsoo Han, and H. Jin Kim) #김현진 교수팀

Momentum Observer-Based Collision Detection Using LSTM for Model Uncertainty Learning (Daegyu Lim, Donghyeon Kim, Jaeheung Park) #박재흥 교수팀

Operational Space Control Under Actuator Bandwidth Limitation (Hosang Lee, Jaeheung Park) #박재흥 교수팀

IROS 2021 (IEEE/RSJ 지능로봇과 시스템 국제대회)

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (Jaeseok Choi, Yeji Song, Nojun Kwak) #곽노준 교수팀 

Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments (Inkyu Jang, Dongjae Lee, Seungjae Lee, and H. Jin Kim) #김현진 교수팀

Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control (Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim) #김현진 교수팀

Target-visible Polynomial Trajectory Generation within an MAV Team (Yunwoo Lee, Jungwon Park, Boseong Jeon, H. Jin Kim) #김현진 교수팀

Topology-Guided Path Planning for Reliable Visual Navigation of MAVs (Dabin Kim, Gyeong Chan Kim, Youngseok Jang, H. Jin Kim) #김현진 교수팀

Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator (Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim) #김현진 교수팀

Computationally Efficient HQP-based Whole-body Control Exploiting the Operational-space Formulation (Yisoo Lee, Junewhee Ahn, Jinoh Lee, and Jaeheung Park) #박재흥 교수팀

ICML 2021 (국제머신러닝학회)

(Long Talk) Unsupervised Representation Learning via Neural Activation Coding (Yookoon Park, Sangho Lee, Gunhee Kim and David Blei) #김건희 교수팀

(Long Talk) Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm (TaeHo Yoon, Ernest Ryu) #류경석 교수팀

Unsupervised Skill Discovery with Bottleneck Option Learning (Jaekyeom Kim, Seohong Park and Gunhee Kim) #김건희 교수팀

WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points (Albert No, TaeHo Yoon, Kwon Sehyun, Ernest Ryu) #류경석 교수팀

Autoencoding Under Normalization Constraints (Sangwoong Yoon, Yung-Kyun Noh, Frank Chongwoo Park) #박종우 교수팀

Sparsity-Agnostic Lasso Bandit (Min-hwan Oh, Garud Iyengar, Assaf Zeevi) #오민환 교수

Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication (Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Taehyun Cho, and Jungwoo Lee) #이정우 교수팀

Learning from Nested Data with Ornstein Auto-Encoders (Youngwon Choi, Sungdong Lee, Joong-Ho Won) #원중호 교수팀

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning (Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, and Byoung-Tak Zhang) #장병탁 교수팀

NAACL 2021 (북미 컴퓨터언어학회)

How Robust are Fact Checking Systems on Colloquial Claims? (Byeongchang Kim, Hyunwoo Kim, Seokhee Hong and Gunhee Kim) #김건희 교수팀

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights (Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin and Kyomin Jung) #정교민 교수팀

KDD 2021 (데이터 마이닝 학회)

Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (Jaemin Yoo, Yejun Soun, Yong-chan Park, and U Kang) #강유 교수팀

Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries (Jun-Gi Jang and U Kang) #강유 교수팀

Fast and Accurate Partial Fourier Transform for Time Series Data (Yong-chan Park, Jun-Gi Jang, and U Kang) #강유 교수팀

Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion (Jaehun Jung, Jinhong Jung, and U Kang) #강유 교수팀

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

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

TVCG 2021 (IEEE 시각화와 컴퓨터 그래픽)

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

ACL - IJCNLP 2021 (컴퓨터 언어학회 및 국제자연어처리학회)

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

AAAI 2021 (국제인공지능학회)

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

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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

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:06 논문에서 이동 됨]