ScheduleKCCV2021.pdf

8 / 9MONDAY 8 / 10TUESDAY 8 / 11WEDNESDAY
10:00 개회식10:00 ~ 10:15 Invited Talk 2
이홍락
LG AI Research/ UMich
10:00 ~ 11:00
Invited Talk 3
Kristen Grauman
UT Austin
10:00 ~ 11:00
10:15
10:30 Special Session
(Oral 1a)
10:15 ~ 11:45
11:00 Oral 2a11:00 ~ 12:00 Oral 3a11:00 ~ 12:00
11:45 KCVS 총회/시상11:45 ~ 12:30
12:00 Lunch Lunch
12:30 Lunch
13:00 Oral 1b13:20 ~ 15:00 Oral 2b13:20 ~ 15:00 Oral 3b13:20 ~ 15:00
13:30
14:00
14:30
15:00 Poster15:00 ~ 16:30 Poster/Demo15:00 ~ 16:30 Poster15:00 ~ 16:30
15:30
16:00
16:30 Invited Talk 1
Andreas Geiger
U.Tübingen
16:30 ~ 17:30
Oral 2c16:30 ~ 17:30 Doctoral Colloquium16:30 ~ 17:30
17:00
17:30 폐회식17:30 ~

8월 9일(월)
Oral Session A

O1a.1 10:15 ~ 10:45 Towards Diverse and Robust High-level Scene Understanding 권인소
(KAIST)
[실시간생중계]
O1a.2 10:45 ~ 11:15 How to make Image Super-Resolution Generalizable? 이경무
(서울대)
O1a.3 11:15 ~ 11:45 Beyond Visual Cues: Exploring the Multi-modal Data in Visual Understanding 손광훈
(연세대)

8월 9일(월)
Oral Session B & Invited Talk

O1b.1 13:20 ~ 13:40 Convolutional Hough Matching Networks 조민수
(POSTECH)
[실시간생중계]
O1b.2 13:40 ~ 14:00 Controllable Image Restoration for Under-Display Camera in Smartphones 한재준
(Samsung, SAIT)
O1b.3 14:00 ~ 14:20 Guided interactive video object segmentation 김창수
(고려대)
O1b.4 14:20 ~ 14:40 Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms 조성현
(POSTECH)
O1b.5 14:40 ~ 15:00 Computer Vision for Autonomous Driving 김지원
(NaverLabs)
Invited Talk1 16:30 ~ 17:30 Neural Implicit Representations for 3D Vision Andreas Geiger
(U.Tübinge)

8월 10일(화)
Oral Session A & Invited Talk

Invited Talk 2 10:00 ~ 11:00 Learning Representations and Models of the World for Solving Complex Tasks 이홍락
(LG AI Research/ UMich)
[실시간생중계]
O2a.1 11:00 ~ 11:20 Other ways to look at Image Super-Resolution Problem 김선주
(연세대)
O2a.2 11:20 ~ 11:40 Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution (CVPR2021) 김재준
(POSTECH)
O2a.3 11:40 ~ 12:00 DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation 임성훈
(DGIST)

8월 10일(화)
Oral Session B

O2b.1 13:20 ~ 13:40 Position-based Scaled Gradient for Model Compression 곽노준
(서울대)
[실시간생중계]
O2b.2 13:40 ~ 14:00 Rapid Neural Architecture Search with Meta-Learning 황성주
(KAIST)
O2b.3 14:00 ~ 14:20 Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation 심현정
(연세대)
O2b.4 14:20 ~ 14:40 Few-shot Open-set Recognition 김창익
(KAIST)
O2b.5 14:40 ~ 15:00 Realizing AI: Two Insights from Field Experiences 유동근
(Lunit)

8월 10일(화)
Oral Session C

O2c.1 16:30 ~ 16:50 GATSBI: Generative Agent-centric Spatio-temporal Object Interaction 김영민
(서울대)
[실시간생중계]
O2c.2 16:50 ~ 17:10 Single Image Defocus Deblurring 이승용
(POSTECH)
O2c.3 17:10 ~ 17:30 Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing 어영정
(연세대)

8월 11일(수)
Oral Session A & Invited Talk

Invited Talk 3 10:00 ~ 11:00 First-Person Video for Understanding Interactions Kristen Grauman
(UT Austin)
[실시간생중계]
O3a.1 11:00 ~ 11:20 Task-Aware Quantization Network for JPEG Image Compression 한보형
(서울대)
O3a.2 11:20 ~ 11:40 Network Quantization with Element-wise Gradient Scaling 함범섭
(연세대)
O3a.3 11:40 ~ 12:00 Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System 송병철
(인하대)

8월 11일(수)
Oral Session B

O3b.1 13:20 ~ 13:40 Self-supervised Learning for Videos 김건희
(서울대)
[실시간생중계]
O3b.2 13:40 ~ 14:00 Restore from Restored: Image and Video Restoration 김태현
(한양대)
O3b.3 14:00 ~ 14:20 Events to End-task Learning for Computer Vision 윤국진
(KAIST)
O3b.4 14:20 ~ 14:40 FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation 황원준
(아주대)
O3b.5 14:40 ~ 15:00 How Critical Are Localization and Perception Technologies for Enhanced Autonomous Driving? 김덕훈
(Qualcomm)

8월 11일(수)
Doctoral Colloquium

Doctoral Colloquium 16:30 ~ 17:30 김장호(서울대), 손형석(POSTECH), 김형준(POSTECH), 왕린(KAIST) [실시간생중계]