Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.
Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
Track oriented, multi target, multi hypothesis tracker
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
deep learning models trained to denoise/deblur text images (signle frame, multi-frame) [pytorch]
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging (ECCV 2024)
Code for "Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection"
App developed in collaboration with a Neuroscientist, specifically for image compression with emphasis on maintaining high image quality. Ensures the integrity of the images are preserved during the compression process.
MT4 proxy terminal can be used for protection of Expert, Indicators and Scripts as well as for multi-timeframe testing and signals distribution
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