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20152023
most citedA Taxonomy of Deep Convolutional Neural Nets for Computer Vision

172 citations · 1.2k across the 80 of their papers we have counts for

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Showing 2015Show all

10 papers · 1 filter

cs.LG2015

Learning Neural Network Architectures using Backpropagation

Suraj Srinivas, R. Venkatesh Babu

Deep neural networks with millions of parameters are at the heart of many state of the art machine learning models today. However, recent works have shown that models with much sma…

cs.CV2015

DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations

Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu

Understanding and predicting the human visual attentional mechanism is an active area of research in the fields of neuroscience and computer vision. In this work, we propose DeepFi…

cs.CV2015★ 8 cited

Attribute-Graph: A Graph based approach to Image Ranking

Nikita Prabhu, R. Venkatesh Babu

We propose a novel image representation, termed Attribute-Graph, to rank images by their semantic similarity to a given query image. An Attribute-Graph is an undirected fully conne…

cs.CV2015

Data-free parameter pruning for Deep Neural Networks

Suraj Srinivas, R. Venkatesh Babu

Deep Neural nets (NNs) with millions of parameters are at the heart of many state-of-the-art computer vision systems today. However, recent works have shown that much smaller model…

cs.CV2015★ 13 cited

Salient Object Detection via Objectness Measure

Sai Srivatsa R, R. Venkatesh Babu

Salient object detection has become an important task in many image processing applications. The existing approaches exploit background prior and contrast prior to attain state of…

cs.CV2015

Crowd Flow Segmentation in Compressed Domain using CRF

Srinivas S. S. Kruthiventi, R. Venkatesh Babu

Crowd flow segmentation is an important step in many video surveillance tasks. In this work, we propose an algorithm for segmenting flows in H.264 compressed videos in a completely…

cs.CV2015★ 5 cited

Expresso : A user-friendly GUI for Designing, Training and Exploring Convolutional Neural Networks

Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu

With a view to provide a user-friendly interface for designing, training and developing deep learning frameworks, we have developed Expresso, a GUI tool written in Python. Expresso…

cs.CV2015★ 12 cited

Object Level Deep Feature Pooling for Compact Image Representation

Konda Reddy Mopuri, R. Venkatesh Babu

Convolutional Neural Network (CNN) features have been successfully employed in recent works as an image descriptor for various vision tasks. But the inability of the deep CNN featu…

cs.CV2015★ 28 cited

Freehand Sketch Recognition Using Deep Features

Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu

Freehand sketches often contain sparse visual detail. In spite of the sparsity, they are easily and consistently recognized by humans across cultures, languages and age groups. The…

cs.CV2015

Category-Epitomes : Discriminatively Minimalist Representations for Object Categories

Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu

Freehand line sketches are an interesting and unique form of visual representation. Typically, such sketches are studied and utilized as an end product of the sketching process. Ho…