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05/26/2023
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation
Recent trends in Video Instance Segmentation (VIS) have seen a growing r...
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03/31/2023
MapFormer: Boosting Change Detection by Using Pre-change Information
Change detection in remote sensing imagery is essential for a variety of...
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10/24/2022
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)
Recently, the availability of remote sensing imagery from aerial vehicle...
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10/12/2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
In this work, we combine the two paradigms: Federated Learning (FL) and ...
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08/22/2022
InstanceFormer: An Online Video Instance Segmentation Framework
Recent transformer-based offline video instance segmentation (VIS) appro...
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02/14/2022
Box Supervised Video Segmentation Proposal Network
Video Object Segmentation (VOS) has been targeted by various fully-super...
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11/22/2021
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information
Monitoring of reforestation is currently being considerably streamlined ...
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10/27/2021
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs
In knowledge graph reasoning, we observe a trend to analyze temporal dat...
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10/20/2021
SEA: Graph Shell Attention in Graph Neural Networks
A common issue in Graph Neural Networks (GNNs) is known as over-smoothin...
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09/27/2020
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering
Subspace clustering has established itself as a state-of-the-art approac...
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03/20/2020
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
The detection performance of small objects in remote sensing images is n...
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01/29/2020
Unsupervised Anomaly Detection for X-Ray Images
Obtaining labels for medical (image) data requires scarce and expensive ...
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11/15/2019
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
Over the past years, Generative Adversarial Networks (GANs) have shown a...
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02/15/2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions
In this work, we propose a novel approach for the semi-supervised node c...
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03/24/2016
