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Towards Visual Query Localization in the 3D World
Liang Peng, Bohan Tan, Zhipeng Zhang +4
Visual query localization (VQL) aims to predict the spatio-temporal response of the most recent occurrence in a sequence given a query. Currently, most research focuses on visual q…
PlanarTrack: A high-quality and challenging benchmark for large-scale planar object tracking
Yifan Jiao, Xinran Liu, Xiaoqiong Liu +3
Planar tracking has drawn increasing interest owing to its key roles in robotics and augmented reality. Despite recent great advancement, further development of planar tracking, pa…
Robust Ego-Exo Correspondence with Long-Term Memory
Yijun Hu, Bing Fan, Xin Gu +4
Establishing object-level correspondence between egocentric and exocentric views is essential for intelligent assistants to deliver precise and intuitive visual guidance. However,…
G3CN: Gaussian Topology Refinement Gated Graph Convolutional Network for Skeleton-Based Action Recognition
Haiqing Ren, Zhongkai Luo, Heng Fan +3
Graph Convolutional Networks (GCNs) have proven to be highly effective for skeleton-based action recognition, primarily due to their ability to leverage graph topology for feature…
DMTrack: Spatio-Temporal Multimodal Tracking via Dual-Adapter
Weihong Li, Shaohua Dong, Haonan Lu +3
In this paper, we explore adapter tuning and introduce a novel dual-adapter architecture for spatio-temporal multimodal tracking, dubbed DMTrack. The key of our DMTrack lies in two…
CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking
Weihong Li, Xiaoqiong Liu, Heng Fan +1
Recent advancements in visual object tracking have markedly improved the capabilities of unmanned aerial vehicle (UAV) tracking, which is a critical component in real-world robotic…