Publication

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Related publications (31)

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Recent advancements in deep learning have revolutionized 3D computer vision, enabling the extraction of intricate 3D information from 2D images and video sequences. This thesis explores the application of deep learning in three crucial challenges of 3D com ...

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Topics in statistical physics of high-dimensional machine learning

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In the past few years, Machine Learning (ML) techniques have ushered in a paradigm shift, allowing the harnessing of ever more abundant sources of data to automate complex tasks. The technical workhorse behind these important breakthroughs arguably lies in ...

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Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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Random matrix methods for high-dimensional machine learning models

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Recent developments in neural architecture search (NAS) emphasize the significance of considering robust architectures against malicious data. However, there is a notable absence of benchmark evaluations and theoretical guarantees for searching these robus ...

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Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

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