309 citations · 498 across the 16 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.LG2017★ 84 cited
Peephole: Predicting Network Performance Before Training
Boyang Deng, Junjie Yan, Dahua Lin
The quest for performant networks has been a significant force that drives the advancements of deep learning in recent years. While rewarding, improving network design has never be…
cs.CV2017
Few-shot Learning by Exploiting Visual Concepts within CNNs
Boyang Deng, Qing Liu, Siyuan Qiao +1
Convolutional neural networks (CNNs) are one of the driving forces for the advancement of computer vision. Despite their promising performances on many tasks, CNNs still face major…
cs.CV2017
Hierarchical Deep Recurrent Architecture for Video Understanding
Luming Tang, Boyang Deng, Haiyu Zhao +1
This paper introduces the system we developed for the Youtube-8M Video Understanding Challenge, in which a large-scale benchmark dataset was used for multi-label video classificati…