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20152025
most citedRobust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

356 citations · 746 across the 23 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 1 cited

Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction

Basit Alawode, Sajid Javed

Video background subtraction is one of the fundamental problems in computer vision that aims to segment all moving objects. Robust principal component analysis has been identified…

cs.CV2023★ 5 cited

Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement

Basit Alawode, Fayaz Ali Dharejo, Mehnaz Ummar +6

This paper presents a new dataset and general tracker enhancement method for Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking has remained un…

cs.CV2023

EFaR 2023: Efficient Face Recognition Competition

Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…

cs.CV2023

Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification

Sajid Javed, Arif Mahmood, Talha Qaiser +2

Classification of gigapixel Whole Slide Images (WSIs) is an important prediction task in the emerging area of computational pathology. There has been a surge of research in deep le…

cs.CV2023

DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion

Mohamed Nagy, Majid Khonji, Jorge Dias +1

Persistent multi-object tracking (MOT) allows autonomous vehicles to navigate safely in highly dynamic environments. One of the well-known challenges in MOT is object occlusion whe…

cs.LG2023

Higher-order Sparse Convolutions in Graph Neural Networks

Jhony H. Giraldo, Sajid Javed, Arif Mahmood +2

Graph Neural Networks (GNNs) have been applied to many problems in computer sciences. Capturing higher-order relationships between nodes is crucial to increase the expressive power…