2 code implementations • ECCV 2020 • Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang
The goal of this work is to develop a novel learning framework for accurate and expressive fashion captioning.
no code implementations • 5 Jul 2020 • Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C. -C. Jay Kuo
Color compatibility is important for evaluating the compatibility of a fashion outfit, yet it was neglected in previous studies.
1 code implementation • 29 Apr 2019 • Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang
In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising.
no code implementations • CVPR 2019 • Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chi-Hao Wu, Jue Wang, Stefano Soatto
Surface-based geodesic topology provides strong cues for object semantic analysis and geometric modeling.
no code implementations • 3 Nov 2017 • Chi-Hao Wu, Qin Huang, Siyang Li, C. -C. Jay Kuo
Being inspired by child's learning experience - taught first and followed by observation and questioning, we investigate a critically supervised learning methodology for object detection in this work.
no code implementations • 20 Jul 2017 • Qin Huang, Chunyang Xia, Chi-Hao Wu, Siyang Li, Ye Wang, Yuhang Song, C. -C. Jay Kuo
Recent development in fully convolutional neural network enables efficient end-to-end learning of semantic segmentation.
Ranked #106 on
Semantic Segmentation
on NYU Depth v2