activity
20102018
most citedVisual Search at eBay

120 citations · 150 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2018★ 2 cited

Brand > Logo: Visual Analysis of Fashion Brands

M. Hadi Kiapour, Robinson Piramuthu

While lots of people may think branding begins and ends with a logo, fashion brands communicate their uniqueness through a wide range of visual cues such as color, patterns and sha…

cs.CV2018★ 1 cited

Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback

Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng +1

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. We study active im…

cs.CV2018★ 26 cited

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Shuai Zheng, Fan Yang, M. Hadi Kiapour +1

Understanding clothes from a single image has strong commercial and cultural impacts on modern societies. However, this task remains a challenging computer vision problem due to wi…

cs.CV2017

Conditional Image-Text Embedding Networks

Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour +3

This paper presents an approach for grounding phrases in images which jointly learns multiple text-conditioned embeddings in a single end-to-end model. In order to differentiate te…

cs.CV2017★ 120 cited

Visual Search at eBay

Fan Yang, Ajinkya Kale, Yury Bubnov +4

In this paper, we propose a novel end-to-end approach for scalable visual search infrastructure. We discuss the challenges we faced for a massive volatile inventory like at eBay an…

cs.CV2010★ 1 cited

Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network

Mahmoud Khademi, Mohammad T. Manzuri-Shalmani, Mohammad H. Kiapour +1

Facial Action Coding System consists of 44 action units (AUs) and more than 7000 combinations. Hidden Markov models (HMMs) classifier has been used successfully to recognize facial…

cs.CV2010

Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling

Mahmoud Khademi, Mohammad Hadi Kiapour, Mohammad T. Manzuri-Shalmani +1

In this paper an accurate real-time sequence-based system for representation, recognition, interpretation, and analysis of the facial action units (AUs) and expressions is presente…

cs.CV2010

Facial Expression Representation and Recognition Using 2DHLDA, Gabor Wavelets, and Ensemble Learning

Mahmoud Khademi, Mohammad H. Kiapour, Mehran Safayani +2

In this paper, a novel method for representation and recognition of the facial expressions in two-dimensional image sequences is presented. We apply a variation of two-dimensional…