13 citations · 25 across the 6 of their papers we have counts for
6 papers
Dual Discriminator Adversarial Distillation for Data-free Model Compression
Haoran Zhao, Xin Sun, Junyu Dong +2
Knowledge distillation has been widely used to produce portable and efficient neural networks which can be well applied on edge devices for computer vision tasks. However, almost a…
Similarity Transfer for Knowledge Distillation
Haoran Zhao, Kun Gong, Xin Sun +2
Knowledge distillation is a popular paradigm for learning portable neural networks by transferring the knowledge from a large model into a smaller one. Most existing approaches enh…
3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
Xiaoxu Cai, Hui Yu, Jianwen Lou +3
We present to recover the complete 3D facial geometry from a single depth view by proposing an Attention Guided Generative Adversarial Networks (AGGAN). In contrast to existing wor…
Real-time 3D Facial Tracking via Cascaded Compositional Learning
Jianwen Lou, Xiaoxu Cai, Junyu Dong +1
We propose to learn a cascade of globally-optimized modular boosted ferns (GoMBF) to solve multi-modal facial motion regression for real-time 3D facial tracking from a monocular RG…
Dense 3D Facial Reconstruction from a Single Depth Image in Unconstrained Environment
Shu Zhang, Hui Yu, Ting Wang +2
With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is co…
Ship Detection and Segmentation using Image Correlation
Alexander Kadyrov, Hui Yu, Honghai Liu
There have been intensive research interests in ship detection and segmentation due to high demands on a wide range of civil applications in the last two decades. However, existing…