activity
20192023
most citedA Comprehensive Review on Deep Supervision: Theories and Applications

14 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 3 cited

Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning

Renjie Li, Chun Yu Lao, Rebecca St. George +5

Objective The coordination of human movement directly reflects function of the central nervous system. Small deficits in movement are often the first sign of an underlying neurolog…

cs.LG2022

Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models

Wenli Yang, Guan Huang, Renjie Li +4

Convolutional neural network (CNN) models have seen advanced improvements in performance in various domains, but lack of interpretability is a major barrier to assurance and regula…

cs.CV2022★ 14 cited

A Comprehensive Review on Deep Supervision: Theories and Applications

Renjie Li, Xinyi Wang, Guan Huang +7

Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network. This technique has been increasingl…

cs.CV2021★ 2 cited

Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection

Renjie Li, Son Tran, Saurabh Garg +3

Keypoint detection plays an important role in a wide range of applications. However, predicting keypoints of small objects such as human hands is a challenging problem. Recent work…

cs.CV2019★ 3 cited

Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis

Zelin Xiao, Hongxin Lin, Renjie Li +2

In this paper, we propose a simple yet effective method to endow deep 3D models with rotation invariance by expressing the coordinates in an intrinsic frame determined by the objec…