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AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
We address the problem of image-based crowd counting. In particular, we ...
10/23/2020 ∙ by Mahesh Kumar Krishna Reddy, et al. ∙
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Few-shot Scene-adaptive Anomaly Detection
We address the problem of anomaly detection in videos. The goal is to id...
07/15/2020 ∙ by Yiwei Lu, et al. ∙
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Structure Learning with Similarity Preserving
Leveraging on the underlying low-dimensional structure of data, low-rank...
12/03/2019 ∙ by Zhao Kang, et al. ∙
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Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Anomaly detection in videos aims at reporting anything that does not con...
09/05/2019 ∙ by Yiwei Lu, et al. ∙
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Similarity Learning via Kernel Preserving Embedding
Data similarity is a key concept in many data-driven applications. Many ...
03/11/2019 ∙ by Zhao Kang, et al. ∙
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