Results 261 to 270 of about 4,286,679 (321)
Real‐Time, Label‐Free Monitoring of Cell Behavior on a Bioelectronic Scaffold
Advanced Functional Materials, EarlyView.A bioelectronic nanofibrous scaffold is introduced that supports cell growth while enabling real‐time, label‐free monitoring of cellular behavior through impedance measurements. The system correlates electrical signals with cell viability and surface coverage, offering an integrated platform for studying dynamic biological processes and advancing next ...
Dana Cohen‐Gerassi +10 more
wiley +1 more source
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Autoregressive Visual Tracking
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023We present ARTrack, an autoregressive framework for visual object tracking. ARTrack tackles tracking as a coordinate sequence interpretation task that estimates object trajectories progressively, where the current estimate is induced by previous states ...
Xing Wei +4 more
semanticscholar +2 more sources
Robust Object Modeling for Visual Tracking
IEEE International Conference on Computer Vision, 2023Object modeling has become a core part of recent tracking frameworks. Current popular tackers use Transformer attention to extract the template feature separately or interactively with the search region.
Y. Cai, Jie Liu, Jie Tang, Gangshan Wu
semanticscholar +1 more source
High Performance Visual Tracking with Siamese Region Proposal Network
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.
Bo Li +4 more
semanticscholar +1 more source
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
Computer Vision and Pattern Recognition, 2023In this paper, we present a new sequence-to-sequence learning framework for visual tracking, dubbed SeqTrack. It casts visual tracking as a sequence generation problem, which predicts object bounding boxes in an autoregressive fashion.
Xin Chen +4 more
semanticscholar +1 more source
A Reliable Sample Selection Strategy for Weakly Supervised Visual Tracking
IEEE Transactions on Reliability, 2023Reliability is an important property in the applied engineering systems, especially in visual tracking. The supervised visual tracking method uses reliable ground truth that is manually annotated, which is hard to get in many applications.
Shuai Liu +4 more
semanticscholar +1 more source
Fast Visual Tracking With Siamese Oriented Region Proposal Network
IEEE Signal Processing Letters, 2022Current oriented visual tracking depends on segmentation-driven framework brings about expensive computation cost, which becomes the bottleneck in the practical application.
Hong Zhu +4 more
semanticscholar +1 more source
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
European Conference on Computer Vision, 2016Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking.
Martin Danelljan +3 more
semanticscholar +1 more source
Procedings of the British Machine Vision Conference 1993, 1993
The research reported here addresses the problem of detecting and tracking independently moving objects from a moving observer in real time, using corners as object tokens. Local image-plane constraints are employed to solve the correspondence problem.
J. Roberts, D. Charnley
openaire +1 more source
The research reported here addresses the problem of detecting and tracking independently moving objects from a moving observer in real time, using corners as object tokens. Local image-plane constraints are employed to solve the correspondence problem.
J. Roberts, D. Charnley
openaire +1 more source
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
AAAI Conference on Artificial IntelligenceOnline contextual reasoning and association across consecutive video frames are critical to perceive instances in visual tracking. However, most current top-performing trackers persistently lean on sparse temporal relationships between reference and ...
Yaozong Zheng +5 more
semanticscholar +1 more source