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 …

Advances in LiDAR sensors provide rich 3D data that supports 3D scene understanding.
However, due to occlusion and signal miss, LiDAR point clouds are in practice 2.5 D as they …

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; …

The significant power of deep learning networks has led to enormous development in object
detection. Over the last few years, object detector frameworks have achieved tremendous …

In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …

Current 3D single object tracking approaches track the target based on a feature
comparison between the target template and the search area. However, due to the common …

Siamese network based trackers formulate 3D single object tracking as cross-correlation
learning between point features of a template and a search area. Due to the large …

Towards 3D object tracking in point clouds, a novel point-to-box network termed P2B is
proposed in an end-to-end learning manner. Our main idea is to first localize potential target …

Multi-modal tracking gains attention due to its ability to be more accurate and robust in
complex scenarios compared to traditional RGB-based tracking. Its key lies in how to fuse …