329 citations · 386 across the 19 of their papers we have counts for
6 papers · 1 filter
Pillar Networks++: Distributed non-parametric deep and wide networks
Biswa Sengupta, Yu Qian
In recent work, it was shown that combining multi-kernel based support vector machines (SVMs) can lead to near state-of-the-art performance on an action recognition dataset (HMDB-5…
Multi-kernel learning of deep convolutional features for action recognition
Biswa Sengupta, Yu Qian
Image understanding using deep convolutional network has reached human-level performance, yet a closely related problem of video understanding especially, action recognition has no…
Algorithmic clothing: hybrid recommendation, from street-style-to-shop
Y Qian, P Giaccone, M Sasdelli +2
In this paper we detail Cortexica's (https://www.cortexica.com) recommendation framework -- particularly, we describe how a hybrid visual recommender system can be created by combi…
Large-scale image analysis using docker sandboxing
B Sengupta, E Vazquez, M Sasdelli +4
With the advent of specialized hardware such as Graphics Processing Units (GPUs), large scale image localization, classification and retrieval have seen increased prevalence. Desig…
Deep Tensor Encoding
B Sengupta, E Vasquez, Y Qian
Learning an encoding of feature vectors in terms of an over-complete dictionary or a information geometric (Fisher vectors) construct is wide-spread in statistical signal processin…
Differential Geometric Retrieval of Deep Features
Y Qian, E Vazquez, B Sengupta
Comparing images to recommend items from an image-inventory is a subject of continued interest. Added with the scalability of deep-learning architectures the once `manual' job of h…