46 citations · 119 across the 7 of their papers we have counts for
10 papers · 1 filter
Aggregation Signature for Small Object Tracking
Chunlei Liu, Wenrui Ding, Jinyu Yang +4
Small object tracking becomes an increasingly important task, which however has been largely unexplored in computer vision. The great challenges stem from the facts that: 1) small…
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo, Guiguang Ding +1
As designing appropriate Convolutional Neural Network (CNN) architecture in the context of a given application usually involves heavy human works or numerous GPU hours, the researc…
Pixelated Semantic Colorization
Jiaojiao Zhao, Jungong Han, Ling Shao +1
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semant…
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu, Ce Li, Baochang Zhang +4
The advancement of deep convolutional neural networks (DCNNs) has driven significant improvement in the accuracy of recognition systems for many computer vision tasks. However, the…
Pixel-level Semantics Guided Image Colorization
Jiaojiao Zhao, Li Liu, Cees G. M. Snoek +2
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems o…
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing
Baochang Zhang, Jiaxin Gu, Chen Chen +4
Compression artifacts reduction (CAR) is a challenging problem in the field of remote sensing. Most recent deep learning based methods have demonstrated superior performance over t…