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Found 11 papers, 3 papers with code
AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments
Also, through the AICOM-MP project, we have generalized a methodology of developing health AI technologies for AMCs to allow universal access even in resource-constrained environments.
Urban Radiance Fields
The goal of this work is to perform 3D reconstruction and novel view synthesis from data captured by scanning platforms commonly deployed for world mapping in urban outdoor environments (e. g., Street View).
Scalable Robust Federated Learning with Provable Security Guarantees
Federated averaging, the most popular aggregation approach in federated learning, is known to be vulnerable to failures and adversarial updates from clients that wish to disrupt training.
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Crucially, SFM also produces sparse 3D points that can be used as "free" depth supervision during training: we add a loss to encourage the distribution of a ray's terminating depth matches a given 3D keypoint, incorporating depth uncertainty.
Repopulating Street Scenes
We present a framework for automatically reconfiguring images of street scenes by populating, depopulating, or repopulating them with objects such as pedestrians or vehicles.
Automated Backend-Aware Post-Training Quantization
Quantization is a key technique to reduce the resource requirement and improve the performance of neural network deployment.
Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages
Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks.
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
We introduce the problem of perpetual view generation - long-range generation of novel views corresponding to an arbitrarily long camera trajectory given a single image.
Learning to Factorize and Relight a City
We propose a learning-based framework for disentangling outdoor scenes into temporally-varying illumination and permanent scene factors.
Exploring Cellular Protein Localization Through Semantic Image Synthesis
Cell-cell interactions have an integral role in tumorigenesis as they are critical in governing immune responses.
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
In this paper, we propose a learning algorithm for detecting visual image manipulations that is trained only using a large dataset of real photographs.
