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Found 8 papers, 1 papers with code
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
Person re-identification (re-ID) aims at matching images of the same identity across camera views.
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Moreover, the extension of our model for semi-supervised re-ID further confirms the scalability of our proposed method for real-world scenarios and applications.
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
Accurately localising object proposals is an important precondition for high detection rate for the state-of-the-art object detection frameworks.
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
The paper presents a comparative validation study of different vision-based methods for instrument segmentation and tracking in the context of robotic as well as conventional laparoscopic surgery.
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification
Person re-identification (Re-ID) aims at recognizing the same person from images taken across different cameras.
Ranked #19 on
Unsupervised Domain Adaptation
on Duke to Market
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
An additional advantage of our approach is that instrument detection at test time is achieved while avoiding the need for scale-dependent sliding window evaluation.
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking
Tracking-by-detection algorithms are widely used for visual tracking, where the problem is treated as a classification task where an object model is updated over time using online learning techniques.
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition
Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation.
