Search Results for author: Khoi Pham

Found 2 papers, 1 papers with code

Disentangling Visual Embeddings for Attributes and Objects

1 code implementation • CVPR 2022 • Nirat Saini, Khoi Pham, Abhinav Shrivastava

We use visual decomposed features to hallucinate embeddings that are representative for the seen and novel compositions to better regularize the learning of our model.

Attribute Compositional Zero-Shot Learning +2

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Learning to Predict Visual Attributes in the Wild

no code implementations • CVPR 2021 • Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

In this paper, we introduce a large-scale in-the-wild visual attribute prediction dataset consisting of over 927K attribute annotations for over 260K object instances.

Attribute Contrastive Learning +2

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