논문 3 페이지 | 서울대학교AI연구원(AIIS)



Total 178건 3 페이지
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

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ICASSP 2021 (음성·신호처리학회)

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) 

IJCAI 2021 (인공 지능에 관한 국제공동회의)

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

ISCA 2021 (컴퓨터 아키텍처 국제회의)

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

ATC 2021 (USENIX 연례 기술 컨퍼런스)

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

ASPLOS 2021 (프로그램 언어와 운영 시스템을 위한 설계 지원)

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