Abhinav Sagar

Email: abhinavsagar4 at gmail dot com
Address: 64 Greens Radius Developers, Santacruz, Mumbai, India

Hi! I just completed my undergrad at VIT Vellore. My research areas are bayesian deep learning, generative models, variational inference etc on the theoretical side and medical imaging, autonomous driving etc on the application side. More broadly, I am interested in deep learning and computer vision with a bayesian approach taking uncertainty into account. The communities I follow are NeurIPS, ICLR, CVPR, ICCV, ECCV, MICCAI, MIDL and WACV.

Besides research, I enjoy travelling, playing guitar and cooking (also eating).

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Research Papers and Preprints

Generate High Resolution Images With Generative Variational Autoencoder

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Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation

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Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars

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Bayesian Multi Scale Neural Network for Crowd Counting

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RUHSNet: 3D Object Detection Using Lidar Data in Real Time

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HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN

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Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion

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Generate Novel Molecules With Target Properties Using Conditional Generative Models

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