activity
20172023
most citedStellar Cluster Detection using GMM with Deep Variational Autoencoder

7 citations · 19 across the 7 of their papers we have counts for

collaborators

9 papers

astro-ph.HE2023★ 5 cited

Automated classification of Chandra X-ray point sources using machine learning methods

Shivam Kumaran, Samir Mandal, Sudip Bhattacharyya +1

A large number of unidentified sources found by astronomical surveys and other observations necessitate the use of an automated classification technique based on machine learning m…

cs.CV2021

Pose Invariant Person Re-Identification using Robust Pose-transformation GAN

Arnab Karmakar, Deepak Mishra

The objective of person re-identification (re-ID) is to retrieve a person's images from an image gallery, given a single instance of the person of interest. Despite several advance…

cs.CV2021★ 5 cited

Domain Adaptive Egocentric Person Re-identification

Ankit Choudhary, Deepak Mishra, Arnab Karmakar

Person re-identification (re-ID) in first-person (egocentric) vision is a fairly new and unexplored problem. With the increase of wearable video recording devices, egocentric data…

cs.CV2020★ 1 cited

A Robust Pose Transformational GAN for Pose Guided Person Image Synthesis

Arnab Karmakar, Deepak Mishra

Generating photorealistic images of human subjects in any unseen pose have crucial applications in generating a complete appearance model of the subject. However, from a computer v…

cs.CV2019

Unsupervised Anomalous Trajectory Detection for Crowded Scenes

Deepan Das, Deepak Mishra

We present an improved clustering based, unsupervised anomalous trajectory detection algorithm for crowded scenes. The proposed work is based on four major steps, namely, extractio…

cs.CV2019★ 1 cited

Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking

Litu Rout, Priya Mariam Raju, Deepak Mishra +1

Visual object tracking is one of the major challenges in the field of computer vision. Correlation Filter (CF) trackers are one of the most widely used categories in tracking. Thou…