Spandan Madan

Orcid: 0000-0002-8957-0004

According to our database1, Spandan Madan authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
CoRR, 2024

Look Around! Unexpected gains from training on environments in the vicinity of the target.
CoRR, 2024

2022
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations.
Neural Networks, 2022

When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations.
Nat. Mach. Intell., 2022

Human or Machine? Turing Tests for Vision and Language.
CoRR, 2022

What makes domain generalization hard?
CoRR, 2022

2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss.
CoRR, 2021

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?
CoRR, 2021

Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers.
CoRR, 2021

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations.
CoRR, 2020

2018
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics.
CoRR, 2018

2017
Understanding Infographics through Textual and Visual Tag Prediction.
CoRR, 2017

Learning Visual Importance for Graphic Designs and Data Visualizations.
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017


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