In this paper, we present a new sequence-to-sequence learning framework for visual
tracking, dubbed SeqTrack. It casts visual tracking as a sequence generation problem …

Visible-modal object tracking gives rise to a series of downstream multi-modal tracking
tributaries. To inherit the powerful representations of the foundation model, a natural modus …

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to
achieve robust performance and wider application scenarios with the guidance of objects' …

Abstract The Visual Object Tracking challenge VOT2020 is the eighth annual tracker
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …

Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …

RGBT tracking usually suffers from various challenge factors, such as fast motion, scale
variation, illumination variation, thermal crossover and occlusion, to name a few. Existing …

Most current RGB-T trackers adopt a two-stream structure to extract unimodal RGB and
thermal features and complex fusion strategies to achieve multi-modal feature fusion, which …

RGB-T tracking aims to leverage the mutual enhancement and complement ability of RGB
and TIR modalities for improving the tracking process in various scenarios, where cross …

RGBT tracking receives a surge of interest in the computer vision community, but this
research field lacks a large-scale and high-diversity benchmark dataset, which is essential …

Inspired by the complementarity between conventional frame-based and bio-inspired event-
based cameras, we propose a multi-modal based approach to fuse visual cues from the …