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08/21/2023
UnLoc: A Unified Framework for Video Localization Tasks
While large-scale image-text pretrained models such as CLIP have been us...
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04/24/2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers
The most performant spatio-temporal action localisation models use exter...
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07/08/2022
Beyond Transfer Learning: Co-finetuning for Action Localisation
Transfer learning is the predominant paradigm for training deep networks...
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06/20/2022
M M Mix: A Multimodal Multiview Transformer Ensemble
This report describes the approach behind our winning solution to the 20...
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01/11/2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning visual knowledge from massive weakly-labeled web videos has att...
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09/28/2020
PERF-Net: Pose Empowered RGB-Flow Net
In recent years, many works in the video action recognition literature h...
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07/23/2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Convolutional operations have two limitations: (1) do not explicitly mod...
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06/03/2018
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints
Recently, there emerged revived interests of designing automatic program...
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02/04/2018
Efficient Video Object Segmentation via Network Modulation
Video object segmentation targets at segmenting a specific object throug...
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05/03/2014
Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision
Many computer vision problems (e.g., camera calibration, image alignment...
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06/27/2012