Publications (24)
Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
You Wu, Yongxin Li, Mengyuan Liu +6
Transformer-based models have improved visual tracking, but most still cannot run in real time on resource-limited devices, especially for unmanned aerial vehicle (UAV) tracking. T…
Towards Reflected Object Detection: A Benchmark
Yiquan Wu, Zhongtian Wang, You Wu +3
Object detection has greatly improved over the past decade thanks to advances in deep learning and large-scale datasets. However, detecting objects reflected in surfaces remains an…
Low-Light Object Tracking: A Benchmark
Pengzhi Zhong, Xiaoyu Guo, Defeng Huang +4
In recent years, the field of visual tracking has made significant progress with the application of large-scale training datasets. These datasets have supported the development of…
Tracking Small and Fast Moving Objects: A Benchmark
Zhewen Zhang, Fuliang Wu, Yuming Qiu +2
With more and more large-scale datasets available for training, visual tracking has made great progress in recent years. However, current research in the field mainly focuses on tr…
Rank-Based Filter Pruning for Real-Time UAV Tracking
Xucheng Wang, Dan Zeng, Qijun Zhao +1
Unmanned aerial vehicle (UAV) tracking has wide potential applications in such as agriculture, navigation, and public security. However, the limitations of computing resources, bat…
Fully Spiking Neural Networks with Target Awareness for Energy-Efficient UAV Tracking
Pengzhi Zhong, Jiwei Mo, Dan Zeng +2
Spiking Neural Networks (SNNs), characterized by their event-driven computation and low power consumption, have shown great potential for energy-efficient visual tracking on unmann…
Learning Disentangled Representation with Mutual Information Maximization for Real-Time UAV Tracking
Xucheng Wang, Xiangyang Yang, Hengzhou Ye +1
Efficiency has been a critical problem in UAV tracking due to limitations in computation resources, battery capacity, and unmanned aerial vehicle maximum load. Although discriminat…
Active Visual Perception: Opportunities and Challenges
Yian Li, Xiaoyu Guo, Hao Zhang +2
Active visual perception refers to the ability of a system to dynamically engage with its environment through sensing and action, allowing it to modify its behavior in response to…
CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation
Yu Zhu, Dan Zeng, Shuiwang Li +3
Recent research in Category-Agnostic Pose Estimation (CAPE) has adopted fixed textual keypoint description as semantic prior for two-stage pose matching frameworks. While this para…
SpikingMOT: A Spike-Driven Multi-Object Tracker
Yiding Sun, Xiangyang Yang, Dongxu Zhang +7
Multi-object tracking (MOT) plays a fundamental role in visual perception, where accurate trajectory prediction is essential for reliable target association under complex motion pa…
Adaptively Bypassing Vision Transformer Blocks for Efficient Visual Tracking
Xiangyang Yang, Dan Zeng, Xucheng Wang +4
Empowered by transformer-based models, visual tracking has advanced significantly. However, the slow speed of current trackers limits their applicability on devices with constraine…
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images
Mingbo Hong, Shuiwang Li, Yuchao Yang +3
With the increasing demand for search and rescue, it is highly demanded to detect objects of interest in large-scale images captured by Unmanned Aerial Vehicles (UAVs), which is qu…
Tracking Reflected Objects: A Benchmark
Xiaoyu Guo, Pengzhi Zhong, Lizhi Lin +3
Visual tracking has advanced significantly in recent years, mainly due to the availability of large-scale training datasets. These datasets have enabled the development of numerous…
Tracking Transforming Objects: A Benchmark
You Wu, Yuelong Wang, Yaxin Liao +3
Tracking transforming objects holds significant importance in various fields due to the dynamic nature of many real-world scenarios. By enabling systems accurately represent transf…
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking
Shuiwang Li, Qijun Zhao, Ziliang Feng +1
(Discriminative) Correlation Filter has been successfully applied to visual tracking and has advanced the field significantly in recent years. Correlation filter-based trackers con…
Camouflaged Object Tracking: A Benchmark
Xiaoyu Guo, Pengzhi Zhong, Hao Zhang +4
Visual tracking has seen remarkable advancements, largely driven by the availability of large-scale training datasets that have enabled the development of highly accurate and robus…
Learning Motion Blur Robust Vision Transformers for Real-Time UAV Tracking
You Wu, Xucheng Wang, Dan Zeng +4
Unmanned aerial vehicle (UAV) tracking is critical for applications like surveillance, search-and-rescue, and autonomous navigation. However, the high-speed movement of UAVs and ta…
MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning
You Wu, Xiangyang Yang, Xucheng Wang +3
Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has made substantial strides. However, over-reliance on image enhancement, limited high-quality night…
Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges
Guanghai Ding, Yihua Ren, Yuting Liu +2
With the rapid advancement of UAV technology and its extensive application in various fields such as military reconnaissance, environmental monitoring, and logistics, achieving eff…
SMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos
Pengzhi Zhong, Xinzhe Wang, Dan Zeng +3
Brain-inspired Spiking Neural Networks (SNNs) exhibit significant potential for low-power computation, yet their application in visual tasks remains largely confined to image class…
The 1st Tiny Object Detection Challenge:Methods and Results
Xuehui Yu, Zhenjun Han, Yuqi Gong +22
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a…
Learning Occlusion-Robust Vision Transformers for Real-Time UAV Tracking
You Wu, Xucheng Wang, Xiangyang Yang +4
Single-stream architectures using Vision Transformer (ViT) backbones show great potential for real-time UAV tracking recently. However, frequent occlusions from obstacles like buil…
Towards Discriminative Representations with Contrastive Instances for Real-Time UAV Tracking
Dan Zeng, Mingliang Zou, Xucheng Wang +1
Maintaining high efficiency and high precision are two fundamental challenges in UAV tracking due to the constraints of computing resources, battery capacity, and UAV maximum load.…
Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking
Shuiwang Li, Yuting Liu, Qijun Zhao +1
Unmanned aerial vehicle (UAV)-based tracking is attracting increasing attention and developing rapidly in applications such as agriculture, aviation, navigation, transportation and…