Search Results for author: Amir Khasahmadi

Found 3 papers, 1 papers with code

TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models

no code implementations1 Sep 2023 Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri

These sentences are then used to extract the most frequent words, providing a comprehensive understanding of the learned features and patterns within the classifier.

Decision Making

Robust Representation Learning via Perceptual Similarity Metrics

no code implementations11 Jun 2021 Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal

A fundamental challenge in artificial intelligence is learning useful representations of data that yield good performance on a downstream task, without overfitting to spurious input features.

Out-of-Distribution Generalization Representation Learning

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps

1 code implementation ICCV 2021 Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne

Boundary Representations (B-Reps) are the industry standard in 3D Computer Aided Design/Manufacturing (CAD/CAM) and industrial design due to their fidelity in representing stylistic details.

Computational Efficiency Unsupervised Few-Shot Learning

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