4.4k citations · 24.2k across the 344 of their papers we have counts for
20 papers · 2 filters
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
Peng Zhang, Shujian Yu, Jiamiao Xu +4
It remains a huge challenge to design effective and efficient trackers under complex scenarios, including occlusions, illumination changes and pose variations. To cope with this pr…
Fast Efficient Object Detection Using Selective Attention
Shivanthan Yohanandan, Andy Song, Adrian G. Dyer +3
Retraction due to significant oversight
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
Huan Fu, Mingming Gong, Chaohui Wang +3
Unsupervised domain mapping aims to learn a function to translate domain X to Y by a function GXY in the absence of paired examples. Finding the optimal GXY without paired data is…
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study
Yu Liu, Guanlong Zhao, Boyuan Gong +8
Here we explore two related but important tasks based on the recently released REalistic Single Image DEhazing (RESIDE) benchmark dataset: (i) single image dehazing as a low-level…
Selective Zero-Shot Classification with Augmented Attributes
Jie Song, Chengchao Shen, Jie Lei +4
In this paper, we introduce a selective zero-shot classification problem: how can the classifier avoid making dubious predictions? Existing attribute-based zero-shot classification…
State-aware Anti-drift Robust Correlation Tracking
Yuqi Han, Chenwei Deng, Zengshuo Zhang +2
Correlation filter (CF) based trackers have aroused increasing attentions in visual tracking field due to the superior performance on several datasets while maintaining high runnin…