논문 1 페이지 | 서울대학교AI연구원(AIIS)



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AAAI 2023 (국제인공지능학회)

Unifying Vision-Language Representation Space with Single-tower Transformer (Jiho Jang, Chaerin Kong, DongHyeon Jeon, Seonhoon Kim, Nojun Kwak) #곽노준 교수팀 

Towards More Robust Interpretation via Local Gradient Alignment (Sunghwan Joo, SeokHyeon Jeong, Juyeon Heo, Adrian Weller, and Taesup Moon) #문태섭 교수팀 

Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners (Hyunsoo Cho, Hyuhng Joon Kim, Jun Yeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim) #이상구 교수팀 

Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud (Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, and Hongil Yoon) #이재욱 교수팀 

PAKDD 2023 (태평양-아시아 국제 지식발견 및 데이터마이닝 학술대회)

Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking (Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, and U Kang) #강유 교수팀

Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation (Jongjin Kim, Hyunsik Jeon, Jaeri Lee, and U Kang) #강유 교수팀 

CVPR 2023 (컴퓨터 비전과 패턴인식 학회)

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training (Gi-Cheon Kang, Sungdong Kim*, Jin-Hwa Kim*, Donghyun Kwak*, Byoung-Tak Zhang) #장병탁 교수팀

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs (Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak) #곽노준 교수팀 

Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning (Youngjae Yu*, Jiwan Chung*, Heeseung Yun, Jack Hessel (AI2), Jaesung Park (UW), Ximing Lu (UW), Prithviraj Ammanabrolu (AI2), Rowan Zellers (AI2), Ronan Le Bras (AI2), Gunhee Kim and Yejin Choi (UW, AI2)) #김건희 교수팀 

Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning (Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, and Taesup Moon) #문태섭 교수팀 

ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion (Sangmin Hong*, Mohsen Yavartanoo*, Reyhaneh Neshatavar, and Kyoung Mu Lee) #이경무 교수팀 

Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding (Yeonguk Oh*, Joonkyu Park*, Jaeha Kim*, Gyeongsik Moon, and Kyoung Mu Lee) #이경무 교수팀 

On the Stability-Plasticity Dilemma of Class-Incremental Learning (Dongwan Kim and Bohyung Han) #한보형 교수팀 

Multi-Modal Representation Learning with Text-Driven Soft Masks (Jaeyoo Park and Bohyung Han) #한보형 교수팀 

Open-Set Representation Learning through Combinatorial Embedding (Geeho Kim, Junoh Kang, and Bohyung Han) #한보형 교수팀 

Variational Distribution Learning for Unsupervised Text-to-Image Generation (Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, and Bohyung Han) #한보형 교수팀 

MobiSys 2022

Band: Coordinated Multi-DNN Inference on Heterogeneous Processors (Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun) #전병곤 교수팀 

OSDI 2022

Orca: A Distributed Serving System for Transformer-Based Generative Models (Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun) #전병곤 교수팀 

VLDB 2022

Hippo: Sharing Computations in Hyper-Parameter Optimization (Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun) #전병곤 교수팀 

WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model (Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi) #전병곤 교수팀 

IEEE International Conference on Big Data (BigData)

Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values (Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, and U Kang) #강유 교수팀 

EMNLP 2022 (자연어처리에서의 경험적 방법론 학회)

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling (KiYoon Yoo and Nojun Kwak) #곽노준 교수팀 

ProsocialDialog: A Prosocial Backbone for Conversational Agents (Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi and Maarten Sap) #김건희 교수팀 

Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble (Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee) #이상구 교수팀 

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations (Jun Yeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim) #이상구 교수팀

PLM-based World Models for Text-based Games (Minsoo Kim, Yeonjoon Jung, Dohyeon Lee and Seung-won Hwan) #황승원 교수팀 

Normalizing Mutual Information for Robust Adaptive Training for Translation (Youngwon Lee, Changmin Lee, Hojin Lee and Seung-won Hwang) #황승원 교수팀 

Towards Compositional Generalization in Code Search (Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan and Seungtaek Cho) #황승원 교수팀 

Pseudo-Relevance for Enhancing Document Representation (Jihyuk Kim, Seung-won Hwang, Seoho Song, Hyeseon Ko and Young-In Song) #황승원 교수팀

BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets (Minju Kim, Chae Hyeong Kim, Yong Ho Song, Seung-won Hwang and Jinyoung Yeo) #황승원 교수팀 

NeurIPS 2022 (신경정보처리시스템학회)

Robust Imitation via Mirror Descent Inverse Reinforcement Learning (D.-S.Han, H.-S.Kim, H.-D.Lee, J.-H.Ryu, B.-T.Zhang) #장병탁 교수팀

SelecMix: Debiased Learning by Contradicting-pair Sampling (Inwoo Hwang · Sangjun Lee · Yunhyeok Kwak · Seong Joon Oh · Damien Teney · Jin-Hwa Kim · Byoung-Tak Zhang) #장병탁 교수팀 

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning (Daesol Cho · Dongseok Shim · H. Jin Kim) #김현진 교수팀 

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning (Seungjae Lee · Jigang Kim · Inkyu Jang · H. Jin Kim) #김현진 교수팀 

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators (Jinyoung Choi · Bohyung Han) #한보형 교수팀 

Locally Hierarchical Auto-Regressive Modeling for Image Generation (Tackgeun You · Saehoon Kim · Chiheon Kim · Doyup Lee · Bohyung Han) #한보형 교수팀 

Information-Theoretic Generative Model Compression with Variational Energy-based Model (Minsoo Kang · Hyewon Yoo · Eunhee Kang · Sehwan Ki · Hyong Euk Lee · Bohyung Han) #한보형 교수팀 

Rethinking Value Function Learning for Generalization in Reinforcement Learning (Seungyong Moon · JunYeong Lee · Hyun Oh Song) #송현오 교수팀 

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks (Hongjoon Ahn · Yongyi Yang · Quan Gan · David P Wipf · Taesup Moon) #문태섭 교수팀 

Constrained GPI for Zero-Shot Transfer in Reinforcement Learning (Jaekyeom Kim · Seohong Park · Gunhee Kim) #김건희 교수팀

CIKM 2022 (ACM 지식 정보 관리 국제학회)

Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge (Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, and U Kang) #강유 교수팀

ECCV 2022 (유럽 컴퓨터 비전 학회)

L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training (Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

Few-shot Image Generation with Mixup-based Distance Learning (Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak) #곽노준 교수팀 

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to the Bounding Box (Jayeon Yoo, Inseop Chung, Nojun Kwak) #곽노준 교수팀 

Panoramic Vision Transformer for Saliency Detection in 360◦ Videos (Heeseung Yun, Sehun Lee and Gunhee Kim) #김건희 교수팀 

GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training (Jaeseok Byun, Taebaek Hwang, Jianlong Fu, and Taesup Moon) #문태섭 교수팀 

BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks (H. Kim, E. Park, S. Yoo) #유승주 교수팀 

CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution (Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee) #이경무 교수팀 

3D Clothed Human Reconstruction in the Wild (Gyeongsik Moon*, Hyeongjin Nam*, Takaaki Shiratori, and Kyoung Mu Lee) #이경무 교수팀 

Towards Sequence-Level Training for Visual Tracking (Minji Kim*, Seungkwan Lee*, Jungseul Ok, Bohyung Han, and Minsu Cho) #한보형 교수팀 

Learning Semantic Segmentation from Multiple Datasets with Label Shifts (Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han) #한보형 교수팀 

(poster) Deep Hash Distillation for Image Retrieval (Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Isaac Kang, Nam Ik Cho) #조남익 교수팀 

(poster) DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation (Jaewoo Park, Nam Ik Cho) #조남익 교수팀 

CVPR 2022 (컴퓨터 비전과 패턴인식 학회)

Large Loss Matters in Weakly Supervised Multi-Label Classification (Youngwook Kim*, Jae Myung Kim*, Zeynep Akata, and Jungwoo Lee) #이정우 교수팀

Learning Fair Classifiers with Partially Annotated Group Labels (Sangwon Jung, Sanghyuk Chun, and Taesup Moon) #문태섭 교수팀

LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network (Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho) #조남익 교수팀

Self-Supervised Dense Consistency Regularization for Image-to-Image Translation (Minsu Ko*, Eunju Cha*, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, and Bohyung Han) #한보형 교수팀

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering (Mijeong Kim, Seonguk Seo, and Bohyung Han) #한보형 교수팀

Unsupervised Learning of Debiased Representations with Pseudo-Attributes (Seonguk Seo, Joon-Young Lee, and Bohyung Han) #한보형 교수팀

Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation (Minsoo Kang, Jaeyoo Park, and Bohyung Han) #한보형 교수팀

Pooling Revisited: Your Receptive Field is Sub-optimal (Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, and Bohyung Han) #한보형 교수팀

CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image (Reyhaneh Neshatavar*, Mohsen Yavartanoo*, Sanghyun Son, and Kyoung Mu Lee) #이경무 교수팀

HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network (Joonkyu Park*, Yeonguk Oh*, Gyeongsik Moon*, Hongsuk Choi, and Kyoung Mu Lee) #이경무 교수팀

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network (Wooseok Lee, Sanghyun Son, and Kyoung Mu Lee) #이경무 교수팀

Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes (Hongsuk Choi, Gyeongsik Moon, JoonKyu Park, and Kyoung Mu Lee) #이경무 교수팀

Attentive Fine-Grained Structured Sparsity for Image Restoration (Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi, and Kyoung Mu Lee) #이경무 교수팀

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? (Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon) #윤성로 교수팀

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data (Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon) #윤성로 교수팀

Bridging the Gap between Classification and Localization by Aligning Feature Directions for Weakly Supervised Object Localization (Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon) #윤성로 교수팀

Perception Prioritized Training of Diffusion Models (Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon) #윤성로 교수팀

BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras (Jaihyun Koh, Jangho Lee, Sungroh Yoon) #윤성로 교수팀

Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness (Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang) #장병탁 교수팀

Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion (Evonne Ng , Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar) #주한별 교수팀

BANMo: Building Animatable 3D Neural Models from Many Casual Videos (Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo) #주한별 교수팀

Ego4D: Around the World in 3,000 Hours of Egocentric Video (Kristen Grauman et al.) #주한별 교수팀

MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection (JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak) #곽노준 교수팀

MatteFormer: Transformer-Based Image Matting via Prior-Tokens (GyuTae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak) #곽노준 교수팀

Imposing Consistency for Optical Flow Estimation (Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak) #곽노준 교수팀

Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning (Jongin LimSangdoo YunSeulki Park, Jin Young Choi) #최진영 교수팀

The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification (Seulki ParkYoungkyu HongByeongho Heo, Sangdoo Yun, Jin Young Choi) #최진영 교수팀

TheWebConf 2022 (더 웹 컨퍼런스)

MiDaS: Representative Sampling from Real-world Hypergraphs (Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang and Kijung Shin) #강유 교수팀

Model-Agnostic Augmentation for Accurate Graph Classification (Jaemin Yoo, Sooyeon Shim and U Kang) #강유 교수팀

KDD 2022 (데이터 마이닝 학회)

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, and U Kang) #강유 교수팀

ICDE 2022 (IEEE 국제 데이터 엔지니어링 학회)

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors (Jun-Gi Jang and U Kang) #강유 교수팀