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20232026
most citedLong-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset

2 citations · 4 across the 9 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking

Xiao Wang, Liye Jin, Dan Xu +5

Vision-language tracking guided by natural language specifications leverages high-level semantic cues of target objects to substantially boost tracking accuracy and robustness. Exi…

cs.CV2026

Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking

Xiao Wang, Xufeng Lou, Zikang Yan +5

RGB-Event tracking improves localization robustness by fusing RGB appearance textures and dense temporal motion cues from event sensors. While this multi-modal scheme broadens trac…

cs.CV2025

ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking

Xiao Wang, Liye Jin, Xufeng Lou +4

Vision-language tracking has received increasing attention in recent years, as textual information can effectively address the inflexibility and inaccuracy associated with specifyi…

cs.CV2025

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking

Shiao Wang, Ju Huang, Qingchuan Ma +5

Combining traditional RGB cameras with bio-inspired event cameras for robust object tracking has garnered increasing attention in recent years. However, most existing multimodal tr…

cs.CV2025

Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection

Xiao Wang, Yu Jin, Lan Chen +5

Event-based Vision Sensors (EVS) have demonstrated significant advantages over traditional RGB frame-based cameras in low-light conditions, high-speed motion capture, and low laten…

cs.CV2025

Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach

Shiao Wang, Xiao Wang, Liye Jin +5

Existing tracking algorithms typically rely on low-frame-rate RGB cameras coupled with computationally intensive deep neural network architectures to achieve effective tracking. Ho…

cs.CV2024

Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining

Xixi Wang, Zitian Wang, Jingtao Jiang +3

Current works focus on addressing the remote sensing change detection task using bi-temporal images. Although good performance can be achieved, however, seldom of they consider the…

cs.CV2024★ 2 cited

Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset

Xiao Wang, Xufeng Lou, Shiao Wang +3

Existing event stream based trackers undergo evaluation on short-term tracking datasets, however, the tracking of real-world scenarios involves long-term tracking, and the performa…

cs.CV2023★ 1 cited

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models

Dong Li, Jiandong Jin, Yuhao Zhang +5

Pattern recognition through the fusion of RGB frames and Event streams has emerged as a novel research area in recent years. Current methods typically employ backbone networks to i…

cs.CV2023★ 1 cited

VcT: Visual change Transformer for Remote Sensing Image Change Detection

Bo Jiang, Zitian Wang, Xixi Wang +4

Existing visual change detectors usually adopt CNNs or Transformers for feature representation learning and focus on learning effective representation for the changed regions betwe…