21 citations · 45 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation
Chengxi Zeng, Xinyu Yang, Majid Mirmehdi +2
We propose Video-TransUNet, a deep architecture for instance segmentation in medical CT videos constructed by integrating temporal feature blending into the TransUNet deep learning…
Detecting Humans in RGB-D Data with CNNs
Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi
We address the problem of people detection in RGB-D data where we leverage depth information to develop a region-of-interest (ROI) selection method that provides proposals to two c…
Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things
Alessandro Masullo, Toby Perrett, Tilo Burghardt +3
We propose a novel approach to multimodal sensor fusion for Ambient Assisted Living (AAL) which takes advantage of learning using privileged information (LUPI). We address two majo…
Dynamic Curriculum Learning for Great Ape Detection in the Wild
Xinyu Yang, Tilo Burghardt, Majid Mirmehdi
We propose a novel end-to-end curriculum learning approach for sparsely labelled animal datasets leveraging large volumes of unlabelled data to improve supervised species detectors…
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…