8 citations · 8 across the 1 of their papers we have counts for
3 papers
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan +2
Zero-shot learning strives to classify unseen categories for which no data is available during training. In the generalized variant, the test samples can further belong to seen or…
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan +1
Temporal action localization is a challenging computer vision problem with numerous real-world applications. Most existing methods require laborious frame-level supervision to trai…
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal, Sanath Narayan, Saikumar Dwivedi +4
Generalized zero-shot action recognition is a challenging problem, where the task is to recognize new action categories that are unavailable during the training stage, in addition…