75 citations · 245 across the 14 of their papers we have counts for
5 papers · 1 filter
Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
Yinglong Wang, Chao Ma, Bing Zeng
Different rain models and novel network structures have been proposed to remove rain streaks from single rainy images. In this work, we bring attention to the intrinsic priors and…
Real-Time Correlation Tracking via Joint Model Compression and Transfer
Ning Wang, Wengang Zhou, Yibing Song +2
Correlation filters (CF) have received considerable attention in visual tracking because of their computational efficiency. Leveraging deep features via off-the-shelf CNN models (e…
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad +3
Rain removal in images/videos is still an important task in computer vision field and attracting attentions of more and more people. Traditional methods always utilize some incompl…
Unsupervised Deep Tracking
Ning Wang, Yibing Song, Chao Ma +3
We propose an unsupervised visual tracking method in this paper. Different from existing approaches using extensive annotated data for supervised learning, our CNN model is trained…
Target-Aware Deep Tracking
Xin Li, Chao Ma, Baoyuan Wu +2
Existing deep trackers mainly use convolutional neural networks pre-trained for generic object recognition task for representations. Despite demonstrated successes for numerous vis…