80 citations · 345 across the 29 of their papers we have counts for
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cs.CV2017★ 80 cited
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Cong Leng, Hao Li, Shenghuo Zhu +1
Although deep learning models are highly effective for various learning tasks, their high computational costs prohibit the deployment to scenarios where either memory or computatio…
cs.CV2014★ 15 cited
Fine-Grained Visual Categorization via Multi-stage Metric Learning
Qi Qian, Rong Jin, Shenghuo Zhu +1
Fine-grained visual categorization (FGVC) is to categorize objects into subordinate classes instead of basic classes. One major challenge in FGVC is the co-occurrence of two issues…
cs.CV2012★ 61 cited
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
Chang Huang, Shenghuo Zhu, Kai Yu
Learning Mahanalobis distance metrics in a high- dimensional feature space is very difficult especially when structural sparsity and low rank are enforced to improve com- putationa…