41 citations · 93 across the 6 of their papers we have counts for
6 papers
Efficient Media Retrieval from Non-Cooperative Queries
Kevin Shih, Wei Di, Vignesh Jagadeesh +1
Text is ubiquitous in the artificial world and easily attainable when it comes to book title and author names. Using the images from the book cover set from the Stanford Mobile Vis…
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
Zhicheng Yan, Hao Zhang, Robinson Piramuthu +4
In image classification, visual separability between different object categories is highly uneven, and some categories are more difficult to distinguish than others. Such difficult…
When relevance is not Enough: Promoting Visual Attractiveness for Fashion E-commerce
Wei Di, Anurag Bhardwaj, Vignesh Jagadeesh +2
Fashion, and especially apparel, is the fastest-growing category in online shopping. As consumers requires sensory experience especially for apparel goods for which their appearanc…
Enhancing Visual Fashion Recommendations with Users in the Loop
Anurag Bhardwaj, Vignesh Jagadeesh, Wei Di +2
We describe a completely automated large scale visual recommendation system for fashion. Existing approaches have primarily relied on purely computational models to solving this pr…
Geometric VLAD for Large Scale Image Search
Zixuan Wang, Wei Di, Anurag Bhardwaj +2
We present a novel compact image descriptor for large scale image search. Our proposed descriptor - Geometric VLAD (gVLAD) is an extension of VLAD (Vector of Locally Aggregated Des…
Large Scale Visual Recommendations From Street Fashion Images
Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj +2
We describe a completely automated large scale visual recommendation system for fashion. Our focus is to efficiently harness the availability of large quantities of online fashion…