3 citations · 4 across the 4 of their papers we have counts for
4 papers
Towards Universal Modal Tracking with Online Dense Temporal Token Learning
Yaozong Zheng, Bineng Zhong, Qihua Liang +4
We propose a universal video-level modality-awareness tracking model with online dense temporal token learning (called {\modaltracker}). It is designed to support various tracking…
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers
Jinxia Xie, Bineng Zhong, Zhiyi Mo +4
The rich spatio-temporal information is crucial to capture the complicated target appearance variations in visual tracking. However, most top-performing tracking algorithms rely on…
Explicit Visual Prompts for Visual Object Tracking
Liangtao Shi, Bineng Zhong, Qihua Liang +3
How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus o…
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang +3
Online contextual reasoning and association across consecutive video frames are critical to perceive instances in visual tracking. However, most current top-performing trackers per…