activity
20192022
most citedAdaptive Task Sampling for Meta-Learning

5 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2022

TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts

Zhihao Wang, Chuang Zhu

Explaining deep learning models is of vital importance for understanding artificial intelligence systems, improving safety, and evaluating fairness. To better understand and contro…

eess.IV20211 cited

Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution

Meng Xu, Zhihao Wang, Jiasong Zhu +2

Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-re…

cs.CV2021

Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel

Zhihao Wang, Yanwei Yu, Yibo Wang +2

Offline Chinese handwriting text recognition is a long-standing research topic in the field of pattern recognition. In previous studies, text detection and recognition are separate…

cs.CV20205 cited

Adaptive Task Sampling for Meta-Learning

Chenghao Liu, Zhihao Wang, Doyen Sahoo +3

Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks. The key idea of meta-learning for few-shot classif…

cs.CV2019

Deep Learning for Image Super-resolution: A Survey

Zhihao Wang, Jian Chen, Steven C. H. Hoi

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed rema…