99 citations · 187 across the 23 of their papers we have counts for
24 papers
Multi-output Deep-Supervised Classifier Chains for Plant Pathology
Jianping Yao, Son N. Tran
Plant leaf disease classification is an important task in smart agriculture which plays a critical role in sustainable production. Modern machine learning approaches have shown unp…
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence
Jianping Yao, Son N. Tran, Hieu Nguyen +2
The purpose of this paper is to use absorbance data obtained by human tasting and an ultraviolet-visible (UV-Vis) scanning spectrophotometer to predict the attributes of grape juic…
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance
Son Tran, Cong Tran, Anh Tran +1
Object detection has long been a topic of high interest in computer vision literature. Motivated by the fact that annotating data for the multi-object tracking (MOT) problem is imm…
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…
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…
Vision-Language Pre-Training with Triple Contrastive Learning
Jinyu Yang, Jiali Duan, Son Tran +6
Vision-language representation learning largely benefits from image-text alignment through contrastive losses (e.g., InfoNCE loss). The success of this alignment strategy is attrib…