Search Results for author: Purvi Goel

Found 6 papers, 1 papers with code

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders

no code implementations17 Dec 2021 Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas Guibas

We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders.

On the Robustness of Monte Carlo Dropout Trained with Noisy Labels

no code implementations22 Mar 2021 Purvi Goel, Li Chen

The memorization effect of deep learning hinders its performance to effectively generalize on test set when learning with noisy labels.

Learning with noisy labels

ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification

no code implementations30 Jan 2021 Pranali Bora, Tulika Awalgaonkar, Himanshu Palve, Raviraj Joshi, Purvi Goel

We have also compared our image-based hierarchical neural network model with simple image-based CNN architecture and text-based CNN and LSTM models to highlight its novelty and efficiency.

Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing

1 code implementation6 Dec 2020 Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie

In this paper, we explore how to use differentiable ray tracing to refine an initial coarse mesh and per-mesh-facet material representation.

Robust Deep Learning with Active Noise Cancellation for Spatial Computing

no code implementations16 Nov 2020 Li Chen, David Yang, Purvi Goel, Ilknur Kabul

This paper proposes CANC, a Co-teaching Active Noise Cancellation method, applied in spatial computing to address deep learning trained with extreme noisy labels.

Deep Learning for Hindi Text Classification: A Comparison

no code implementations19 Jan 2020 Ramchandra Joshi, Purvi Goel, Raviraj Joshi

Usage of deep learning in text processing has revolutionized the techniques for text processing and achieved remarkable results.

Classification General Classification +2

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