1 citations · 2 across the 4 of their papers we have counts for
6 papers · 1 filter
Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection
Ayush K. Rai, Kyle Min, Tarun Krishna +3
Masked video modeling~(MVM) has emerged as a highly effective pre-training strategy for visual foundation models, whereby the model reconstructs masked spatiotemporal tokens using…
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
Ayush K. Rai, Tarun Krishna, Feiyan Hu +4
Video Anomaly Detection (VAD) is an open-set recognition task, which is usually formulated as a one-class classification (OCC) problem, where training data is comprised of videos w…
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen +6
Technological advancements have spurred the usage of machine learning based applications in sports science. Physiotherapists, sports coaches and athletes actively look to incorpora…
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates
Feiyan Hu, Eva Mohedano, Noel O'Connor +1
Current deep learning based video classification architectures are typically trained end-to-end on large volumes of data and require extensive computational resources. This paper a…
FastSal: a Computationally Efficient Network for Visual Saliency Prediction
Feiyan Hu, Kevin McGuinness
This paper focuses on the problem of visual saliency prediction, predicting regions of an image that tend to attract human visual attention, under a constrained computational budge…
Utilising Visual Attention Cues for Vehicle Detection and Tracking
Feiyan Hu, Venkatesh G M, Noel E. O'Connor +2
Advanced Driver-Assistance Systems (ADAS) have been attracting attention from many researchers. Vision-based sensors are the closest way to emulate human driver visual behavior whi…