14 citations · 14 across the 1 of their papers we have counts for
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cs.CV2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition
Hefeng Wu, Guangzhi Ye, Ziyang Zhou +3
Learning to recognize novel concepts from just a few image samples is very challenging as the learned model is easily overfitted on the few data and results in poor generalizabilit…
cs.CV2020★ 14 cited
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
Xuehui Wang, Qing Wang, Yuzhi Zhao +3
Despite convolutional network-based methods have boosted the performance of single image super-resolution (SISR), the huge computation costs restrict their practical applicability.…
cs.CV2018
End-to-end driving simulation via angle branched network
Qing Wang, Long Chen, Wei Tian
Imitation learning for end-to-end autonomous driving has drawn attention from academic communities. Current methods either only use images as the input which is ambiguous when a ca…