Search Results for author: Yabin Zhu

Found 7 papers, 3 papers with code

Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition

1 code implementation20 Jan 2024 Haoxiang Yang, Chengguo Yuan, Yabin Zhu, Lan Chen, Xiao Wang, Jin Tang

The mainstream human activity recognition (HAR) algorithms are developed based on RGB cameras, which are easily influenced by low-quality images (e. g., low illumination, motion blur).

Human Activity Recognition

CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras

1 code implementation5 Jan 2024 Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang

In this work, we formally propose the task of object tracking using unaligned neuromorphic and visible cameras.

Object Tracking

RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning

no code implementations26 Mar 2023 Yabin Zhu, Chenglong Li, Xiao Wang, Jin Tang, Zhixiang Huang

In addition, existing learning methods of RGBT trackers either fuse multimodal features into one for final classification, or exploit the relationship between unimodal branches and fused branch through a competitive learning strategy.

Tiny Object Tracking: A Large-scale Dataset and A Baseline

1 code implementation11 Feb 2022 Yabin Zhu, Chenglong Li, Yao Liu, Xiao Wang, Jin Tang, Bin Luo, Zhixiang Huang

Tiny objects, frequently appearing in practical applications, have weak appearance and features, and receive increasing interests in meany vision tasks, such as object detection and segmentation.

Attribute Knowledge Distillation +4

Learning Target-oriented Dual Attention for Robust RGB-T Tracking

no code implementations12 Aug 2019 Rui Yang, Yabin Zhu, Xiao Wang, Chenglong Li, Jin Tang

RGB-Thermal object tracking attempt to locate target object using complementary visual and thermal infrared data.

Object Object Tracking +2

Dense Feature Aggregation and Pruning for RGBT Tracking

no code implementations24 Jul 2019 Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang

In different modalities, we propose to prune the densely aggregated features of all modalities in a collaborative way.

FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking

no code implementations24 Nov 2018 Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang

This paper investigates how to perform robust visual tracking in adverse and challenging conditions using complementary visual and thermal infrared data (RGBT tracking).

Rgb-T Tracking

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