7 papers
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…
FEMOT: Multi-Object Tracking using Frame and Event Cameras
Shiao Wang, Xiao Wang, Chao Wang +6
Conventional RGB cameras have been widely used in multi-object tracking due to their ability to capture rich appearance and semantic information. However, their performance is ofte…
Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization
Yumiao Zhao, Bo Jiang, Beibei Wang +3
Visual Prompting (VP) has emerged as an efficient paradigm for adapting large-scale pre-trained vision models to downstream tasks by incorporating learnable prompts at the input le…
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…
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Xiao Wang, Yao Rong, Shiao Wang +5
Pattern recognition based on RGB-Event data is a newly arising research topic and previous works usually learn their features using CNN or Transformer. As we know, CNN captures the…
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation
Xiao Wang, Fuling Wang, Haowen Wang +5
X-ray image based medical report generation achieves significant progress in recent years with the help of the large language model, however, these models have not fully exploited…