27 citations · 106 across the 16 of their papers we have counts for
Showing 2018Show all
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cs.CV2018★ 5 cited
Deep Metric Learning with Hierarchical Triplet Loss
Weifeng Ge, Weilin Huang, Dengke Dong +1
We present a novel hierarchical triplet loss (HTL) capable of automatically collecting informative training samples (triplets) via a defined hierarchical tree that encodes global c…
cs.CV2018★ 16 cited
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification
Weifeng Ge, Bingchen Gong, Yizhou Yu
Single image superresolution has been a popular research topic in the last two decades and has recently received a new wave of interest due to deep neural networks. In this paper,…
cs.CV2018★ 27 cited
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge, Sibei Yang, Yizhou Yu
Supervised object detection and semantic segmentation require object or even pixel level annotations. When there exist image level labels only, it is challenging for weakly supervi…