1 citations · 3 across the 6 of their papers we have counts for
6 papers
Structure-Aware Parametric Representations for Time-Resolved Light Transport
Diego Royo, Zesheng Huang, Yun Liang +4
Time-resolved illumination provides rich spatio-temporal information for applications such as accurate depth sensing or hidden geometry reconstruction, becoming a useful asset for…
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Shuzhang Zhong, Meng Li, Yun Liang +2
Memory-aware network scheduling is becoming increasingly important for deep neural network (DNN) inference on resource-constrained devices. However, due to the complex cell-level a…
Proteus: Simulating the Performance of Distributed DNN Training
Jiangfei Duan, Xiuhong Li, Ping Xu +4
DNN models are becoming increasingly larger to achieve unprecedented accuracy, and the accompanying increased computation and memory requirements necessitate the employment of mass…
On Mitigating Hard Clusters for Face Clustering
Yingjie Chen, Huasong Zhong, Chong Chen +5
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images. It remains challenging to identify small or sparse face image clust…
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing
Meihua Wang, Jiaming Mai, Yun Liang +3
Traditional dehazing techniques, as a well studied topic in image processing, are now widely used to eliminate the haze effects from individual images. However, even the state-of-t…
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation
Dong Huang, Chang-Dong Wang, Jian-Huang Lai +3
Support vector clustering (SVC) is a versatile clustering technique that is able to identify clusters of arbitrary shapes by exploiting the kernel trick. However, one hurdle that r…