55 citations · 96 across the 5 of their papers we have counts for
5 papers
Contrastive Transformation for Self-supervised Correspondence Learning
Ning Wang, Wengang Zhou, Houqiang Li
In this paper, we focus on the self-supervised learning of visual correspondence using unlabeled videos in the wild. Our method simultaneously considers intra- and inter-video repr…
Unsupervised Deep Representation Learning for Real-Time Tracking
Ning Wang, Wengang Zhou, Yibing Song +3
The advancement of visual tracking has continuously been brought by deep learning models. Typically, supervised learning is employed to train these models with expensive labeled da…
Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination
Ning Wang, Wengang Zhou, Qi Tian +1
Visual tracking can be easily disturbed by similar surrounding objects. Such objects as hard distractors, even though being the minority among negative samples, increase the risk o…
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…
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…