3 papers
cs.CV2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong, Nannan Li, Weijie Kong +3
Video anomaly detection under weak labels is formulated as a typical multiple-instance learning problem in previous works. In this paper, we provide a new perspective, i.e., a supe…
cs.CV2018
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization
Weijie Kong, Nannan Li, Shan Liu +2
Despite tremendous progress achieved in temporal action detection, state-of-the-art methods still suffer from the sharp performance deterioration when localizing the starting and e…
cs.CV2018
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector
Jia-Xing Zhong, Nannan Li, Weijie Kong +3
Weakly supervised temporal action detection is a Herculean task in understanding untrimmed videos, since no supervisory signal except the video-level category label is available on…