2 citations · 2 across the 1 of their papers we have counts for
8 papers
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…
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…
Fast End-to-End Trainable Guided Filter
Huikai Wu, Shuai Zheng, Junge Zhang +1
Dense pixel-wise image prediction has been advanced by harnessing the capabilities of Fully Convolutional Networks (FCNs). One central issue of FCNs is the limited capacity to hand…
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…
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu, Shuai Zheng, Junge Zhang +1
It is common but challenging to address high-resolution image blending in the automatic photo editing application. In this paper, we would like to focus on solving the problem of h…
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials
Måns Larsson, Anurag Arnab, Fredrik Kahl +2
Are we using the right potential functions in the Conditional Random Field models that are popular in the Vision community? Semantic segmentation and other pixel-level labelling ta…