Moviechat: From dense token to sparse memory for long video understanding
Recently integrating video foundation models and large language models to build a video
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …
Onetracker: Unifying visual object tracking with foundation models and efficient tuning
Visual object tracking aims to localize the target object of each frame based on its initial
appearance in the first frame. Depending on the input modility tracking tasks can be divided …
appearance in the first frame. Depending on the input modility tracking tasks can be divided …
Reading relevant feature from global representation memory for visual object tracking
Reference features from a template or historical frames are crucial for visual object tracking.
Prior works utilize all features from a fixed template or memory for visual object tracking …
Prior works utilize all features from a fixed template or memory for visual object tracking …
Openvis: Open-vocabulary video instance segmentation
Open-vocabulary Video Instance Segmentation (OpenVIS) can simultaneously detect,
segment, and track arbitrary object categories in a video, without being constrained to …
segment, and track arbitrary object categories in a video, without being constrained to …
MovieChat+: Question-aware Sparse Memory for Long Video Question Answering
Recently, integrating video foundation models and large language models to build a video
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …
Video Visualization and Visual Analytics: A Task-Based and Application-Driven Investigation
Video data refers to digital information in the form of a series of frames or images
representing continuous motion captured by a video recording device. In various domains …
representing continuous motion captured by a video recording device. In various domains …
Fast, Accurate, and Lightweight Memory-Enhanced Embedding Learning Framework for Image-Text Retrieval
Image-text retrieval is a fundamental task in bridging the semantics between vision and
language. The key challenge lies in accurately and efficiently learning the semantic …
language. The key challenge lies in accurately and efficiently learning the semantic …
SRRT: Exploring Search Region Regulation for Visual Object Tracking
J Zhu, X Chen, P Zhang, X Wang… - … on Circuits and …, 2024 - ieeexplore.ieee.org
The dominant trackers generate a fixed-size rectangular region based on the previous
prediction or initial bounding box as the model input, ie, search region. While this manner …
prediction or initial bounding box as the model input, ie, search region. While this manner …
Multi-step Temporal Modeling for UAV Tracking
X Yuan, T Xu, X Liu, Y Wang, H Qin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the realm of unmanned aerial vehicle (UAV) tracking, Siamese-based approaches have
gained traction due to their optimal balance between efficiency and precision. However …
gained traction due to their optimal balance between efficiency and precision. However …
LGTrack: Exploiting Local and Global Properties for Robust Visual Tracking
C Liu, J Zhao, C Bo, S Li, D Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Re-detection is a necessary capability for long-term tracking. Target candidate proposals in
the whole image can provide a chance of tracking reset when tracking fails due to tracking …
the whole image can provide a chance of tracking reset when tracking fails due to tracking …