research
∙
09/28/2022
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection
We propose a novel domain adaptive action detection approach and a new a...
share
research
∙
09/06/2022
Spatio-Temporal Action Detection Under Large Motion
Current methods for spatiotemporal action tube detection often extend a ...
research
∙
04/07/2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
For an autonomous robotic system, monitoring surgeon actions and assisti...
research
∙
02/23/2021
ROAD: The ROad event Awareness Dataset for Autonomous Driving
Humans approach driving in a holistic fashion which entails, in particul...
research
∙
08/31/2020
Online Spatiotemporal Action Detection and Prediction via Causal Representations
In this thesis, we focus on video action understanding problems from an ...
research
∙
06/12/2020
ESAD: Endoscopic Surgeon Action Detection Dataset
In this work, we take aim towards increasing the effectiveness of surgic...
research
∙
04/03/2020
Two-Stream AMTnet for Action Detection
In this paper, we propose Two-Stream AMTnet, which leverages recent adva...
research
∙
04/04/2019
An End-to-End Baseline for Video Captioning
Building correspondences across different modalities, such as video and ...
research
∙
11/17/2018
Recurrence to the Rescue: Towards Causal Spatiotemporal Representations
Recently, three dimensional (3D) convolutional neural networks (CNNs) ha...
research
∙
08/23/2018
Predicting Action Tubes
In this work, we present a method to predict an entire `action tube' (a ...
research
∙
08/01/2018
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals
Current state-of-the-art methods solve spatiotemporal action localisatio...
research
∙
07/30/2018
Action Detection from a Robot-Car Perspective
We present the new Road Event and Activity Detection (READ) dataset, des...
research
∙
07/22/2017
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos
Current state-of-the-art human action recognition is focused on the clas...
research
∙
04/05/2017
Incremental Tube Construction for Human Action Detection
Current state-of-the-art action detection systems are tailored for offli...
research
∙
11/25/2016
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
We present a deep-learning framework for real-time multiple spatio-tempo...
research
∙
08/04/2016
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
In this work, we propose an approach to the spatiotemporal localisation ...
research
∙
07/07/2016
