53 citations · 156 across the 9 of their papers we have counts for
9 papers
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections
Bolei Zhou, Vignesh Jagadeesh, Robinson Piramuthu
Discovering visual knowledge from weakly labeled data is crucial to scale up computer vision recognition system, since it is expensive to obtain fully labeled data for a large numb…
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…
Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer Depth Camera and Synthetic Data
Qiaosong Wang, Vignesh Jagadeesh, Bryan Ressler +1
Recent advances in consumer depth sensors have created many opportunities for human body measurement and modeling. Estimation of 3D body shape is particularly useful for fashion e-…
Fashion Apparel Detection: The Role of Deep Convolutional Neural Network and Pose-dependent Priors
Kota Hara, Vignesh Jagadeesh, Robinson Piramuthu
In this work, we propose and address a new computer vision task, which we call fashion item detection, where the aim is to detect various fashion items a person in the image is wea…
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…