activity
20142018
most citedOn the Performance of ConvNet Features for Place Recognition

134 citations · 197 across the 9 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV2018

Learning Free-Form Deformations for 3D Object Reconstruction

Dominic Jack, Jhony K. Pontes, Sridha Sridharan +4

Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge. Most existing work addresses this issue by employing…

cs.CV2017★ 5 cited

On Encoding Temporal Evolution for Real-time Action Prediction

Fahimeh Rezazadegan, Sareh Shirazi, Mahsa Baktashmotlagh +1

Anticipating future actions is a key component of intelligence, specifically when it applies to real-time systems, such as robots or autonomous cars. While recent works have addres…

cs.CV2016★ 1 cited

Unsupervised Human Action Detection by Action Matching

Basura Fernando, Sareh Shirazi, Stephen Gould

We propose a new task of unsupervised action detection by action matching. Given two long videos, the objective is to temporally detect all pairs of matching video segments. A pair…

cs.CV2015★ 1 cited

Evaluation of Object Detection Proposals Under Condition Variations

Fahimeh Rezazadegan, Sareh Shirazi, Michael Milford +1

Object detection is a fundamental task in many computer vision applications, therefore the importance of evaluating the quality of object detection is well acknowledged in this dom…

cs.CV2014★ 2 cited

Bags of Affine Subspaces for Robust Object Tracking

Sareh Shirazi, Conrad Sanderson, Chris McCool +1

We propose an adaptive tracking algorithm where the object is modelled as a continuously updated bag of affine subspaces, with each subspace constructed from the object's appearanc…

cs.CV2014★ 15 cited

Object Tracking via Non-Euclidean Geometry: A Grassmann Approach

Sareh Shirazi, Mehrtash T. Harandi, Brian C. Lovell +1

A robust visual tracking system requires an object appearance model that is able to handle occlusion, pose, and illumination variations in the video stream. This can be difficult t…