KCCV 2019 세부 프로그램
Day 1 (July 8, Monday)
Day 2 (July 9, Tuesday)
Day 3 (July 10, Wednesday)
Day 4 (July 11, Thursday)
| Program |
Time |
Presenter |
Title |
| Company Booth / Morning Network Session (9:00 ~ 10:00) |
| Oral 4-1 |
10:00 ~ 10:30 |
Kwang Moo Yi [이광무]
(University of Victoria) |
LF-Net: Learning Local Features from Images |
| Oral 4-2 |
10:30 ~ 11:00 |
Dongbo Min [민동보]
(이화여자대학교) |
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation |
| Oral 4-3 |
11:00 ~ 11:30 |
Minsu Cho [조민수]
(POSTECH) |
Relational Knowledge Distilation |
| Oral 4-4 |
11:30 ~ 12:00 |
Duck Hoon Kim [김덕훈]
(Qualcomm) |
Autonomous Driving Research at Qualcomm |
| Lunch (12:00 ~ 13:20) |
| Oral 5-1 |
13:20 ~ 13:50 |
Jongwoo Lim [임종우]
(한양대학교) |
DFT-based Transformation Invariant Pooling Layer for Visual Classification |
| Oral 5-2 |
13:50 ~ 14:20 |
Jaegul Choo [주재걸]
(고려대학교) |
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation |
| Oral 5-3 |
14:20 ~ 14:50 |
Bohyung Han [한보형]
(서울대학교) |
Domain Specific Batch Normalization for Unsupervised Domain Adaptation, |
| Poster 2 / Company Booth / Afternoon Networking (14:50 ~ 16:30) |
| Oral 6-1 |
16:30 ~ 17:00 |
Jinwoo Shin [신진우]
(KAIST) |
InstaGAN: Instance-aware Image-to-Image Translation |
| Oral 6-2 |
17:00 ~ 17:30 |
Junseok Kwon [권준석]
(중앙대학교) |
SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and Its Application |
| Oral 6-3 |
17:30 ~ 18:00 |
Young Min Kim [김영민]
(서울대학교) |
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion |
Poster
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