논문 1 페이지 | 서울대학교AI연구원(AIIS)

연구

컴퓨터비전

Total 35건 1 페이지
ICCV 2023 (국제컴퓨터비전학회)

Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance (Huiwen Xu, U Kang) #강유 교수팀 

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis (Seunghyeon Seo, Yeonjin Chang, Nojun Kwak) #곽노준 교수팀 

EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization (Minjung Kim, Junseo Koo, Gunhee Kim) #김건희 교수팀 

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation (Heeseung Yun, Joonil Na, Gunhee Kim) #김건희 교수팀 

Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction (Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee) #이경무 교수팀 

Content-Aware Local GAN for Photo-Realistic Super-Resolution (JoonKyu Park, Sanghyun Son, Kyoung Mu Lee) #이경무 교수팀 

Human Part-wise 3D Motion Context Learning for Sign Language Recognition (Taeryung Lee, Yeonguk Oh, Kyoung Mu Lee) #이경무 교수팀 

ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images (Dongwoo Lee, Jeongtaek Oh, Jaesung Rim, Sunghyun Cho, Kyoung Mu Lee) #이경무 교수팀 

Neural Collage Transfer: Artistic Reconstruction via Material Manipulation (Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang) #장병탁 교수팀 

Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models (Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo) #주한별 교수팀 

Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments (Jiye Lee, Hanbyul Joo) #주한별 교수팀 

NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects (Taeksoo Kim, Shunsuke Saito, Hanbyul Joo) #주한별 교수팀 

CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images (Sookwan Han, Hanbyul Joo) #주한별 교수팀 

(poster)End-to-End Multi-Object Detection with a Regularized Mixture Model (Jaeyoung Yoo · Hojun Lee · Seunghyeon Seo · Inseop Chung · NOJUN KWAK) #곽노준 교수팀 

(poster) Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations (Jisun Park, Ernest Ryu) #류경석 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 

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

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

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

SIGGRAPH 2021 (컴퓨터 그래픽 및 인터랙티브 기술 그룹)

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

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

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

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

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)

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:06 논문에서 이동 됨]
CVPR 2020 (컴퓨터 비전과 패턴인식 학회)

(Oral) 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

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

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:06 논문에서 이동 됨]
ICIP 2020 (이미지처리 국제학회)

KL-divergence-based Region Proposal Network for Object Detection (Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak) #곽노준 교수팀

Unpriortized Autoencoder for Image Generations (Jaeyoung Yoo, Hojun Lee, Nojun Kwak) #곽노준 교수팀

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:31 논문에서 이동 됨]
[이 게시물은 최고관리자님에 의해 2021-04-02 21:38:23 논문에서 이동 됨]
ICPR 2020 (패턴인식 국제학회)

(Oral) Deep Universal Blind Image Denoising (Soh, Jae Woong; Cho, Nam Ik) #조남익 교수팀

Feature Fusion for Online Mutual Knowledge Distillation (Kim, Jangho; Hyun, Minsung; Chung, Inseop; Kwak, Nojun) #곽노준 교수팀

3D Pots Configuration System by Optimizing Over Geometric Constraints (Kim, Jae Eun; Arshad, Muhammad Zeeshan; Yoo, Seong Jong; Hong, Je Hyeong; Kim, Jinwook; Kim, Young Min) #김영민 교수팀

Improving Explainability of Integrated Gradients with Guided Non-Linearity (Kwon Hyuk Jin; Koo Hyung Il; Cho Nam Ik) #조남익 교수팀

Single Image Super-Resolution with Dynamic Residual Connection (Park, Karam; Soh, Jae Woong; Cho, Nam Ik) #조남익 교수팀

User-Independent Gaze Estimation by Extracting Pupil Parameter and Its Mapping to the Gaze Angle (Han, Sang Yoon; Cho, Nam Ik) #조남익 교수팀

Neural Architecture Search for Image Super-Resolution Using Densely Connected Search Space: DeCoNAS (Ahn, Joon Young; Cho, Nam Ik) #조남익 교수팀

TVCG 2020 (IEEE 시각화와 컴퓨터 그래픽)

Tanglement Resolution in Clothing Simulation with Explicit Convergence (Ick-Hoon Cha;Hyeong-Seok Ko) #고형석 교수팀

Augmenting Parallel Coordinates Plots with Color-coded Stacked Histograms (Jinwook Bok;Bohyoung Kim;Jinwook Seo) #서진욱 교수팀

PANENE: A Progressive Algorithm for Indexing and Querying Approximate k-Nearest Neighbors (Jaemin Jo, Jinwook Seo, Jean-Daniel Fekete) #서진욱 교수

Guest Editors’ Introduction: Special Section on IEEE PacificVis 2020 (Fabian Beck, Jinwook Seo, Chaoli Wang) #서진욱 교수

Volumetric Head-Mounted Display with Locally Adaptive Focal Blocks (Dongheon Yoo, Seungjae Lee, Youngjin Jo, Jaebum Cho, Suyeon Choi, Byoungho Lee) #이병호 교수팀


BMVC 2020 (영국머신비전학회)

Domain Adaptation of Learned Featuresfor Visual Localization (Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee and Christopher Sweeney) #이경무 교수

검색