| P1.01 |
박진선
(KAIST) |
Non-Local Spatial Propagation Network for Depth Completion(ECCV 2020) |
| P1.02 |
박관용
(KAIST) |
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation(NeurIPS 2020) |
| P1.03 |
박성우
(중앙대) |
Deep Diffusion-Invariant Wasserstein Distributional Classification(NeurIPS 2020)
|
| P1.04 |
Andreas Meuleman
(KAIST) |
Real-Time Sphere Sweeping Stereo from Multiview Fisheye Images(CVPR 2021)
|
| P1.05 |
박준흠
(고려대) |
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation(ECCV 2020)
|
| P1.06 |
김한울
(고려대) |
PieNet: Personalized Image Enhancement Network(ECCV 2020)
|
| P1.07 |
김범수
(고려대) |
HOTR: End-to-End Human-Object Interaction Detection with Transformers(CVPR 2021)
|
| P1.08 |
김범수
(고려대) |
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection(ECCV 2020)
|
| P1.09 |
박정인
(연세대) |
SumGraph: Video Summarization via Recursive Graph Modeling(ECCV 2020)
|
| P1.10 |
정소미
(연세대) |
Memory-guided Unsupervised Image-to-image Translation(CVPR 2021)
|
| P1.11 |
정다흰
(서울대) |
iCaps: An Interpretable Classifier via Disentangled Capsule Networks(ECCV 2020)
|
| P1.12 |
이정범
(서울대) |
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation(CVPR 2021)
|
| P1.13 |
문경식
(서울대) |
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling(ECCV 2020)
|
| P1.14 |
백성용
(서울대) |
Meta-Learning with Adaptive Hyperparameters(NeurIPS 2020)
|
| P1.15 |
이종민(민주홍)
(POSTECH) |
Learning to Compose Hypercolumns for Visual Correspondence(ECCV 2020)
|
| P1.16 |
민주홍
(POSTECH) |
Convolutional Hough Matching Networks(CVPR 2021)
|
| P1.17 |
임재성
(POSTECH) |
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms(ECCV 2020)
|
| P1.18 |
김진석
(POSTECH) |
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks(NeurIPS 2020)
|
| P2.01 |
김장호
(서울대) |
Position-based Scaled Gradient for Model Quantization and Pruning(NeurIPS 2020)
|
| P2.02 |
정지수
(서울대) |
Interpolation-based Semi-supervised Learning for Object Detection(CVPR 2021)
|
| P2.03 |
강재연
(연세대) |
Deep Space-Time Video Upsampling Networks(ECCV 2020)
|
| P2.04 |
조영현
(연세대) |
Tackling the Ill-Posedness of Super-Resolution through Adaptive Target Generation(CVPR 2021)
|
| P2.05 |
민철희
(서울대) |
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction(CVPR 2021)
|
| P2.06 |
김태경
(KAIST) |
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation(ECCV 2020)
|
| P2.07 |
정종헌
(KAIST) |
Consistency Regularization for Certified Robustness of Smoothed Classifiers(NeurIPS 2020)
|
| P2.08 |
김인수
(KAIST) |
Quality-Agnostic Image Recognition via Invertible Decoder(CVPR 2021)
|
| P2.09 |
이승호
(연세대) |
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation(CVPR 2021)
|
| P2.10 |
김현수
(연세대) |
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing(CVPR 2021)
|
| P2.11 |
이준용
(POSTECH) |
Iterative Filter Adaptive Network for Single Image Defocus Deblurring(CVPR 2021)
|
| P2.12 |
이승훈
(DGIST) |
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation(CVPR 2021)
|
| P2.13 |
김다현
(GIST) |
Learning Architectures for Binary Networks(ECCV 2020)
|
| P2.14 |
김진우
(KAIST) |
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data(CVPR 2021)
|
| P2.15 |
백진헌
(KAIST) |
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction(NeurIPS 2020)
|
| P2.16 |
김민선
(KAIST) |
Adversarial Self-Supervised Contrastive Learning(NeurIPS 2020)
|
| P3.01 |
정지완(유영재)
(서울대) |
Transitional Adaptation of Pretrained Models for Visual Storytelling(CVPR 2021)
|
| P3.02 |
홍민의(최진우)
(서울대) |
StyleMix: Separating Content and Style for Enhanced Data Augmentation(CVPR 2021)
|
| P3.03 |
이재협
(KAIST) |
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery(CVPR 2021)
|
| P3.04 |
이승환
(한양대) |
Restore from Restored: Video Restoration with Pseudo Clean Video(CVPR 2021)
|
| P3.05 |
안홍준(정상원)
(서울대) |
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization(NeurIPS 2020)
|
| P3.06 |
박태언(정상원)
(서울대) |
Fair Feature Distillation for Visual Recognition(CVPR 2021)
|
| P3.07 |
강민국
(POSTECH) |
ContraGAN: Contrastive Learning for Conditional Image Generation(NeurIPS 2020)
|
| P3.08 |
이강일
(인하대) |
Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System(ECCV 2020)
|
| P3.09 |
박은혁
(서울대) |
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models(ECCV 2020)
|
| P3.10 |
Lin Wang
(KAIST) |
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation(CVPR 2021)
|
| P3.11 |
최진영
(서울대) |
Task-Aware Quantization Network for JPEG Image Compression(ECCV 2020)
|
| P3.12 |
이동욱(유재형)
(서울대) |
RaScaNet: Learning Tiny Models by Raster-Scanning Images(CVPR 2021)
|
| P3.13 |
이중협
(연세대) |
Network Quantization with Element-wise Gradient Scaling(CVPR 2021)
|
| P3.14 |
오영민
(연세대) |
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation(CVPR 2021)
|
| P3.15 |
나재민
(아주대) |
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation(CVPR 2021)
|
