1 code implementation • 23 Oct 2018 • M. Hadi Kiapour, Robinson Piramuthu
In this work, we analyze learned visual representations by deep networks that are trained to recognize fashion brands.
no code implementations • 24 Sep 2018 • Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu
In this paper, we introduce an attribute-based interactive image search which can leverage human-in-the-loop feedback to iteratively refine image search results.
2 code implementations • 3 Jul 2018 • Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu
Understanding clothes from a single image has strong commercial and cultural impacts on modern societies.
1 code implementation • ECCV 2018 • Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
This paper presents an approach for grounding phrases in images which jointly learns multiple text-conditioned embeddings in a single end-to-end model.
no code implementations • ICCV 2015 • M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
In this paper, we define a new task, Exact Street to Shop, where our goal is to match a real-world example of a garment item to the same item in an online shop.