20 citations · 43 across the 11 of their papers we have counts for
16 papers · 1 filter
SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021
Swathikiran Sudhakaran, Adrian Bulat, Juan-Manuel Perez-Rua +5
This report presents the technical details of our submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021. To participate in the challenge we deployed spatio-temporal…
Higher Order Recurrent Space-Time Transformer for Video Action Prediction
Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee +1
Endowing visual agents with predictive capability is a key step towards video intelligence at scale. The predominant modeling paradigm for this is sequence learning, mostly impleme…
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
We present EgoACO, a deep neural architecture for video action recognition that learns to pool action-context-object descriptors from frame level features by leveraging the verb-no…
Data augmentation techniques for the Video Question Answering task
Alex Falcon, Oswald Lanz, Giuseppe Serra
Video Question Answering (VideoQA) is a task that requires a model to analyze and understand both the visual content given by the input video and the textual part given by the ques…
Novel-View Human Action Synthesis
Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi +2
Novel-View Human Action Synthesis aims to synthesize the movement of a body from a virtual viewpoint, given a video from a real viewpoint. We present a novel 3D reasoning to synthe…
FBK-HUPBA Submission to the EPIC-Kitchens Action Recognition 2020 Challenge
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
In this report we describe the technical details of our submission to the EPIC-Kitchens Action Recognition 2020 Challenge. To participate in the challenge we deployed spatio-tempor…