4 papers
Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning
Sujoy Paul, Sourya Roy, Amit K. Roy-Chowdhury
Deep neural networks are efficient learning machines which leverage upon a large amount of manually labeled data for learning discriminative features. However, acquiring substantia…
W-TALC: Weakly-supervised Temporal Activity Localization and Classification
Sujoy Paul, Sourya Roy, Amit K Roy-Chowdhury
Most activity localization methods in the literature suffer from the burden of frame-wise annotation requirement. Learning from weak labels may be a potential solution towards redu…
WEPSAM: Weakly Pre-Learnt Saliency Model
Avisek Lahiri, Sourya Roy, Anirban Santara +2
Visual saliency detection tries to mimic human vision psychology which concentrates on sparse, important areas in natural image. Saliency prediction research has been traditionally…
Visual saliency detection: a Kalman filter based approach
Sourya Roy, Pabitra Mitra
In this paper we propose a Kalman filter aided saliency detection model which is based on the conjecture that salient regions are considerably different from our "visual expectatio…