21 citations · 40 across the 9 of their papers we have counts for
19 papers · 1 filter
Centre Stage: Centricity-based Audio-Visual Temporal Action Detection
Hanyuan Wang, Majid Mirmehdi, Dima Damen +1
Previous one-stage action detection approaches have modelled temporal dependencies using only the visual modality. In this paper, we explore different strategies to incorporate the…
Use Your Head: Improving Long-Tail Video Recognition
Toby Perrett, Saptarshi Sinha, Tilo Burghardt +2
This paper presents an investigation into long-tail video recognition. We demonstrate that, unlike naturally-collected video datasets and existing long-tail image benchmarks, curre…
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
Otto Brookes, Majid Mirmehdi, Hjalmar Kühl +1
We propose the first metric learning system for the recognition of great ape behavioural actions. Our proposed triple stream embedding architecture works on camera trap videos take…
Refining Action Boundaries for One-stage Detection
Hanyuan Wang, Majid Mirmehdi, Dima Damen +1
Current one-stage action detection methods, which simultaneously predict action boundaries and the corresponding class, do not estimate or use a measure of confidence in their boun…
TVNet: Temporal Voting Network for Action Localization
Hanyuan Wang, Dima Damen, Majid Mirmehdi +1
We propose a Temporal Voting Network (TVNet) for action localization in untrimmed videos. This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accur…
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
We propose a novel approach to few-shot action recognition, finding temporally-corresponding frame tuples between the query and videos in the support set. Distinct from previous fe…