activity
20182022
most citedSign Language Recognition via Skeleton-Aware Multi-Model Ensemble

31 citations · 54 across the 5 of their papers we have counts for

collaborators

12 papers

cs.CV20224 cited

Look More but Care Less in Video Recognition

Yitian Zhang, Yue Bai, Huan Wang +2

Existing action recognition methods typically sample a few frames to represent each video to avoid the enormous computation, which often limits the recognition performance. To tack…

cs.LG20224 cited

Parameter-Efficient Masking Networks

Yue Bai, Huan Wang, Xu Ma +3

A deeper network structure generally handles more complicated non-linearity and performs more competitively. Nowadays, advanced network designs often contain a large number of repe…

cs.LG202211 cited

Dual Lottery Ticket Hypothesis

Yue Bai, Huan Wang, Zhiqiang Tao +2

Fully exploiting the learning capacity of neural networks requires overparameterized dense networks. On the other side, directly training sparse neural networks typically results i…

cs.CV202131 cited

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

Songyao Jiang, Bin Sun, Lichen Wang +3

Sign language is commonly used by deaf or mute people to communicate but requires extensive effort to master. It is usually performed with the fast yet delicate movement of hand ge…

cs.LG2021

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning

Huan Wang, Can Qin, Yue Bai +1

Several recent works [40, 24] observed an interesting phenomenon in neural network pruning: A larger finetuning learning rate can improve the final performance significantly. Unfor…

cs.CV2021

Skeleton Aware Multi-modal Sign Language Recognition

Songyao Jiang, Bin Sun, Lichen Wang +3

Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the gap be…