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07/15/2023
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
Few-shot video segmentation is the task of delineating a specific novel ...
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05/11/2023
Towards a Better Understanding of the Computer Vision Research Community in Africa
Computer vision is a broad field of study that encompasses different tas...
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04/12/2023
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation
Multiscale video transformers have been explored in a wide variety of vi...
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11/03/2022
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
There is limited understanding of the information captured by deep spati...
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06/06/2022
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
Deep spatiotemporal models are used in a variety of computer vision task...
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03/27/2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation
Few-shot video object segmentation (FS-VOS) aims at segmenting video fra...
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05/07/2021
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving
Semantic segmentation in autonomous driving predominantly focuses on lea...
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03/19/2021
Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Semantic segmentation approaches are typically trained on large-scale da...
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08/16/2020
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving
Moving object segmentation is a crucial task for autonomous vehicles as ...
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01/26/2020
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
Significant progress has been made recently in developing few-shot objec...
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12/18/2019
One-Shot Weakly Supervised Video Object Segmentation
Conventional few-shot object segmentation methods learn object segmentat...
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02/19/2019
Adaptive Masked Weight Imprinting for Few-Shot Segmentation
Deep learning has mainly thrived by training on large-scale datasets. Ho...
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10/17/2018
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
Video segmentation is a challenging task that has many applications in r...
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09/24/2018
Online Tool and Task learning via Human Robot Interaction
This work describes the development of a robotic system that acquires kn...
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03/10/2018
ShuffleSeg: Real-time Semantic Segmentation Network
Real-time semantic segmentation is of significant importance for mobile ...
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03/07/2018
RTSeg: Real-time Semantic Segmentation Comparative Study
Semantic segmentation benefits robotics related applications especially ...
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09/14/2017
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
We propose a novel multi-task learning system that combines appearance a...
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07/08/2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Semantic segmentation was seen as a challenging computer vision problem ...
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03/06/2017
4-DoF Tracking for Robot Fine Manipulation Tasks
This paper presents two visual trackers from the different paradigms of ...
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11/16/2016
Convolutional Gated Recurrent Networks for Video Segmentation
Semantic segmentation has recently witnessed major progress, where fully...
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06/30/2016
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks
Parking management systems, and vacancy-indication services in particula...
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06/01/2016
