2 citations · 2 across the 4 of their papers we have counts for
4 papers
NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking
Yu Liu, Arif Mahmood, Muhammad Haris Khan
Many current visual object tracking benchmarks such as OTB100, NfS, UAV123, LaSOT, and GOT-10K, predominantly contain day-time scenarios while the challenges posed by the night-tim…
Depth Attention for Robust RGB Tracking
Yu Liu, Arif Mahmood, Muhammad Haris Khan
RGB video object tracking is a fundamental task in computer vision. Its effectiveness can be improved using depth information, particularly for handling motion-blurred target. Howe…
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
Siddharth Tourani, Ahmed Alwheibi, Arif Mahmood +1
Unsupervised landmarks discovery (ULD) for an object category is a challenging computer vision problem. In pursuit of developing a robust ULD framework, we explore the potential of…
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah +4
We study a challenging problem of unsupervised discovery of object landmarks. Many recent methods rely on bottlenecks to generate 2D Gaussian heatmaps however, these are limited in…