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09/08/2023
Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding
3D visual grounding is the task of localizing the object in a 3D scene w...
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08/25/2023
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing
Despite their simpler information fusion designs compared with Vision Tr...
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04/27/2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
With autonomous industries on the rise, domain adaptation of the visual ...
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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...
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09/06/2022
Spatio-Temporal Action Detection Under Large Motion
Current methods for spatiotemporal action tube detection often extend a ...
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05/18/2021
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing
We address the problem of face anti-spoofing which aims to make the face...
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05/17/2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
We present an approach for encoding visual task relationships to improve...
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02/23/2021
ROAD: The ROad event Awareness Dataset for Autonomous Driving
Humans approach driving in a holistic fashion which entails, in particul...
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12/19/2020
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
Training deep networks for semantic segmentation requires large amounts ...
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07/24/2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Multi-task networks are commonly utilized to alleviate the need for a la...
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04/03/2020
Two-Stream AMTnet for Action Detection
In this paper, we propose Two-Stream AMTnet, which leverages recent adva...
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12/15/2019
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
Nowadays, the increasingly growing number of mobile and computing device...
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08/23/2018
Predicting Action Tubes
In this work, we present a method to predict an entire `action tube' (a ...
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08/01/2018
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals
Current state-of-the-art methods solve spatiotemporal action localisatio...
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07/30/2018
Action Detection from a Robot-Car Perspective
We present the new Road Event and Activity Detection (READ) dataset, des...
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05/10/2018
Unsupervised Deep Representations for Learning Audience Facial Behaviors
In this paper, we present an unsupervised learning approach for analyzin...
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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...
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04/05/2017
Incremental Tube Construction for Human Action Detection
Current state-of-the-art action detection systems are tailored for offli...
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11/25/2016
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
We present a deep-learning framework for real-time multiple spatio-tempo...
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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 ...
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07/16/2014
