185 citations · 260 across the 11 of their papers we have counts for
11 papers
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
Xiao Wang, Shiao Wang, Chuanming Tang +4
Tracking using bio-inspired event cameras has drawn more and more attention in recent years. Existing works either utilize aligned RGB and event data for accurate tracking or direc…
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
Yabin Zhu, Chenglong Li, Xiao Wang +2
Existing Transformer-based RGBT tracking methods either use cross-attention to fuse the two modalities, or use self-attention and cross-attention to model both modality-specific an…
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Xiao Wang, Zhe Chen, Bo Jiang +3
To track the target in a video, current visual trackers usually adopt greedy search for target object localization in each frame, that is, the candidate region with the maximum res…
Tracking by Joint Local and Global Search: A Target-aware Attention based Approach
Xiao Wang, Jin Tang, Bin Luo +3
Tracking-by-detection is a very popular framework for single object tracking which attempts to search the target object within a local search window for each frame. Although such l…
Guidance and Teaching Network for Video Salient Object Detection
Yingxia Jiao, Xiao Wang, Yu-Cheng Chou +4
Owing to the difficulties of mining spatial-temporal cues, the existing approaches for video salient object detection (VSOD) are limited in understanding complex and noisy scenario…
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
Xiao Wang, Xiujun Shu, Zhipeng Zhang +4
Tracking by natural language specification is a new rising research topic that aims at locating the target object in the video sequence based on its language description. Compared…
Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking
Xiao Wang, Zhe Chen, Jin Tang +4
Most of the existing single object trackers track the target in a unitary local search window, making them particularly vulnerable to challenging factors such as heavy occlusions a…
FMT:Fusing Multi-task Convolutional Neural Network for Person Search
Sulan Zhai, Shunqiang Liu, Xiao Wang +1
Person search is to detect all persons and identify the query persons from detected persons in the image without proposals and bounding boxes, which is different from person re-ide…
Dense Feature Aggregation and Pruning for RGBT Tracking
Yabin Zhu, Chenglong Li, Bin Luo +2
How to perform effective information fusion of different modalities is a core factor in boosting the performance of RGBT tracking. This paper presents a novel deep fusion algorithm…
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning
Xiao Wang, Tao Sun, Rui Yang +3
Incorporating various modes of information into the machine learning procedure is becoming a new trend. And data from various source can provide more information than single one no…
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
Xiao Wang, Chenglong Li, Rui Yang +3
The tracking-by-detection framework requires a set of positive and negative training samples to learn robust tracking models for precise localization of target objects. However, ex…