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Spandan Madan
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2020 – today
- 2024
- [i12]Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman:
Look Around! Unexpected gains from training on environments in the vicinity of the target. CoRR abs/2401.15856 (2024) - [i11]Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret S. Livingstone, Gabriel Kreiman:
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. CoRR abs/2406.16935 (2024) - 2022
- [j2]Spandan Madan
, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki
When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations. Nat. Mach. Intell. 4(2): 146-153 (2022) - [j1]Akira Sakai
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. Neural Networks 155: 119-143 (2022) - [i10]Spandan Madan, Li You, Mengmi Zhang, Hanspeter Pfister
What makes domain generalization hard? CoRR abs/2206.07802 (2022) - [i9]Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar
Human or Machine? Turing Tests for Vision and Language. CoRR abs/2211.13087 (2022) - 2021
- [c3]Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis 2021: 31-40 - [c2]Philipp Bomatter, Mengmi Zhang
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. ICCV 2021: 255-264 - [i8]Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman:
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. CoRR abs/2104.02215 (2021) - [i7]Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister:
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers. CoRR abs/2106.16198 (2021) - [i6]Avi Cooper, Xavier Boix, Daniel Harari, Spandan Madan, Hanspeter Pfister, Tomotake Sasaki, Pawan Sinha:
To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? CoRR abs/2109.13445 (2021) - [i5]Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. CoRR abs/2111.00131 (2021) - 2020
- [i4]Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix:
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. CoRR abs/2007.08032 (2020)
2010 – 2019
- 2018
- [i3]Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand:
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR abs/1807.10441 (2018) - 2017
- [c1]Zoya Bylinskii, Nam Wook Kim
Learning Visual Importance for Graphic Designs and Data Visualizations. UIST 2017: 57-69 - [i2]Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann:
Learning Visual Importance for Graphic Designs and Data Visualizations. CoRR abs/1708.02660 (2017) - [i1]Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva:
Understanding Infographics through Textual and Visual Tag Prediction. CoRR abs/1709.09215 (2017)
Coauthor Index
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