| P-1 |
Dahun Kim*, Sanghyun Woo, In So Kweon (KAIST),
Joon-Young Lee (Adobe Research) |
Video Panoptic Segmentation (CVPR 2020) |
| P-2 |
Fei Pan*, Inkyu Shin, Francois Rameau, Seokju Lee,
In So Kweon (KAIST) |
Unsupervised Intra-domain Adaptation for Semantic Segmentation
through Self-Supervision (CVPR 2020) |
| P-3 |
Seoung Wug Oh*, Sungho Lee, Seon Joo Kim
(Yonsei Univ.), Joon-Young Lee (Adobe Research) |
Onion-Peel Networks for Deep Video Completion (ICCV 2019) |
| P-4 |
Jaehoon Choi, Taekyung Kim*,
Changick Kim (KAIST) |
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation
in Semantic Segmentation (ICCV 2019) |
| P-5 |
Seongwook Yoon*, Sanghoon Sull (Korea Univ.) |
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
(CVPR 2020) |
| P-6 |
Kyu-Yul Lee, Jae-Young Sim (UNIST) |
Warping Residual Based Image Stitching for Large Parallax (CVPR 2020) |
| P-7 |
Donghoon Lee*, Hyunsin Park, Trung Pham,
Chang D. Yoo (KAIST) |
Learning Augmentation Network via Influence Functions (CVPR 2020) |
| P-8 |
Lin Wang*, Kuk-Jin Yoon (KAIST),
Tae-Kyun Kim (ICVL Lab.) |
EventSR: From Asynchronous Events to Image Reconstruction, Restoration,
and Super-Resolution via End-to-End Adversarial Learning (CVPR 2020) |
| P-9 |
Seijoon Kim*, Seongsik Park, Byunggook Na,
Sungroh Yoon (Seoul National Univ.) |
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
(AAAI 2020) |
| P-10 |
Sungyong Baik*, Seokil Hong, Kyoung Mu Lee
(Seoul National Univ. ) |
Learning to Forget for Meta-Learning (CVPR 2020) |
| P-11 |
Myungsub Choi*, Heewon Kim, Bohyung Han,
Kyoung Mu Lee, Ning Xu (Amazon Go) |
Channel Attention Is All You Need for Video Frame Interpolation (AAAI 2020) |
| P-12 |
Anh-Duc Nguyen, Seonghwa Choi*, Woojae Kim,
Sanghoon Lee (Yonsei Univ.) |
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
(ICCV 2019) |
| P-13 |
Yoonsik Kim*, Jae Woong Soh, Gu Yong Park,
Nam Ik Cho (Seoul National Univ.) |
Transfer Learning From Synthetic to Real-Noise Denoising
With Adaptive Instance Normalization (CVPR 2020) |
| P-14 |
Junsoo Lee*, Eungyeup Kim, Dongjun Kim,
Jaegul Choo (KAIST), Yunsung Lee (Korea Univ.),
Jaehyuk Chang (NAVER WEBTOON Corp.) |
Reference-Based Sketch Image Colorization Using Augmented-Self Reference
and Dense Semantic Correspondence (CVPR 2020) |
| P-15 |
Sungha Choihttp:// *(LG Electronics),
Joanne T. kim (Korea Univ.), Jaegul Choo (KAIST) |
Cars Can’t Fly Up in the Sky: Improving Urban-Scene Segmentation
via Height-Driven Attention Networks (CVPR 2020) |
| P-16 |
Byengho Heo, Sangdoo Yun (Naver Corp.),
Jeesoo Kim, Hyojin Park, Nojun Kwak,
Jin Young Choi* (Seoul National Univ.) |
A Comprehensive Overhaul of Feature Distillation (ICCV 2019) |
| P-17 |
Jiwoong Park*, Kyuewang Lee, Jing Young Choi
(Seoul National Univ.), Minsik Lee (Hanyang Univ.),
Hyung Jin Chang (Birmingham Univ.) |
Symmetric Graph Convolutional Autoencoder for Unsupervised
Graph Representation Learning (ICCV 2019) |
| P-18 |
Kyung-Rae Kim, Whan Choi*, Chang-Su Kim,
Yeong Jun Koh, Seong-Gyun Jeong (CODE42.ai) |
Instance-level future motion estimation in a single image based on ordinal regression
(ICCV 2019) |
