25 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 2 cited
Improving Apparel Detection with Category Grouping and Multi-grained Branches
Qing Tian, Sampath Chanda, K C Amit Kumar +1
Training an accurate object detector is expensive and time-consuming. One main reason lies in the laborious labeling process, i.e., annotating category and bounding box information…
cs.CV2020
Grow-Push-Prune: aligning deep discriminants for effective structural network compression
Qing Tian, Tal Arbel, James J. Clark
Most of today's popular deep architectures are hand-engineered to be generalists. However, this design procedure usually leads to massive redundant, useless, or even harmful featur…
cs.CV2018★ 25 cited
Task dependent Deep LDA pruning of neural networks
Qing Tian, Tal Arbel, James J. Clark
With deep learning's success, a limited number of popular deep nets have been widely adopted for various vision tasks. However, this usually results in unnecessarily high complexit…