254 citations · 649 across the 20 of their papers we have counts for
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Full Matching on Low Resolution for Disparity Estimation
Hong Zhang, Shenglun Chen, Zhihui Wang +2
A Multistage Full Matching disparity estimation scheme (MFM) is proposed in this work. We demonstrate that decouple all similarity scores directly from the low-resolution 4D volume…
Direct Depth Learning Network for Stereo Matching
Hong Zhang, Haojie Li, Shenglun Chen +4
Being a crucial task of autonomous driving, Stereo matching has made great progress in recent years. Existing stereo matching methods estimate disparity instead of depth. They trea…
Rethink Maximum Mean Discrepancy for Domain Adaptation
Wei Wang, Haojie Li, Zhengming Ding +1
Existing domain adaptation methods aim to reduce the distributional difference between the source and target domains and respect their specific discriminative information, by estab…
Location-Aware Feature Selection Text Detection Network
Zengyuan Guo, Zilin Wang, Zhihui Wang +3
Regression-based text detection methods have already achieved promising performances with simple network structure and high efficiency. However, they are behind in accuracy compari…
Sparsely-Labeled Source Assisted Domain Adaptation
Wei Wang, Zhihui Wang, Yuankai Xiang +4
Domain Adaptation (DA) aims to generalize the classifier learned from the source domain to the target domain. Existing DA methods usually assume that rich labels could be available…
A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing
Chongwei Liu, Zhihui Wang, Shijie Wang +6
To boost the object grabbing capability of underwater robots for open-sea farming, we propose a new dataset (UDD) consisting of three categories (seacucumber, seaurchin, and scallo…