126 citations · 185 across the 10 of their papers we have counts for
5 papers · 1 filter
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
Siyang Li, Xiangxin Zhu, Qin Huang +2
When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e.g., finding the face of a cat ins…
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision
Chi-Hao Wu, Qin Huang, Siyang Li +1
Being inspired by child's learning experience - taught first and followed by observation and questioning, we investigate a critically supervised learning methodology for object det…
Contextual-based Image Inpainting: Infer, Match, and Translate
Yuhang Song, Chao Yang, Zhe Lin +4
We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents. To this end, we propose a learning-based approach to g…
Prediction of Satisfied User Ratio for Compressed Video
Haiqiang Wang, Ioannis Katsavounidis, Qin Huang +2
A large-scale video quality dataset called the VideoSet has been constructed recently to measure human subjective experience of H.264 coded video in terms of the just-noticeable-di…
Semantic Segmentation with Reverse Attention
Qin Huang, Chunyang Xia, Chihao Wu +4
Recent development in fully convolutional neural network enables efficient end-to-end learning of semantic segmentation. Traditionally, the convolutional classifiers are taught to…