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Found 11 papers, 2 papers with code
Automated Detection and Counting of Windows using UAV Imagery based Remote Sensing
Despite the technological advancements in the construction and surveying sector, the inspection of salient features like windows in an under-construction or existing building is predominantly a manual process.
Consistency of Lloyd's Algorithm Under Perturbations
In canonical settings with ground truth clusters, we derive bounds for algorithms such as $k$-means$++$ to find good initializations and thus leading to the correctness of clustering via the main result.
Product Review Image Ranking for Fashion E-commerce
In a fashion e-commerce platform where customers can't physically examine the products on their own, being able to see other customers' text and image reviews of the product is critical while making purchase decisions.
Multi-class Brain Tumor Segmentation using Graph Attention Network
This work introduces an efficient brain tumor summation model by exploiting the advancement in MRI and graph neural networks (GNNs).
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution
We introduce a new triplet-based adversarial loss function that exploits the information provided in the LR image by using it as a negative sample.
GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions
We present a Gated Differentiable Image Processing (GDIP) block, a domain-agnostic network architecture, which can be plugged into existing object detection networks (e. g., Yolo) and trained end-to-end with adverse condition images such as those captured under fog and low lighting.
UAV-based Visual Remote Sensing for Automated Building Inspection
Unmanned Aerial Vehicle (UAV) based remote sensing system incorporated with computer vision has demonstrated potential for assisting building construction and in disaster management like damage assessment during earthquakes.
Variationally Mimetic Operator Networks
The application of the VarMiON to a canonical elliptic PDE and a nonlinear PDE reveals that for approximately the same number of network parameters, on average the VarMiON incurs smaller errors than a standard DeepONet and a recently proposed multiple-input operator network (MIONet).
Visualizing Webpage Changes Over Time
Embed codes for the image grid and image slider can be produced to include these on separate webpages.
Digital Libraries
Bayesian Inference with Generative Adversarial Network Priors
In this work we demonstrate how this approximate distribution may be used as a prior in a Bayesian update, and how it addresses the challenges associated with characterizing complex prior distributions and the large dimension of the inferred field.
Persistent homology detects curvature
We describe a general computational framework for solving inverse problems using the average persistence landscape, a continuous mapping from metric spaces with a probability measure to a Hilbert space.
