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Nov
2022
I am serving as a reviewer for CVPR 2023.
-
Aug
2022
I am serving as a program committee member at AAAI 2023.
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Mar
2022
I am serving as a special reviewer for IEEE Signal Processing Letters.
-
Aug
2021
I am starting a new job as a Senior Software Engineer at Nvidia AI.
-
Aug
2021
I am serving as a program committee member at AAAI 2022.
-
Aug
2021
I am serving as a program committee member at WACV 2022.
-
Sep
2020
I have a
paper accepted to the
insights workshop at EMNLP 2020.
-
Sep
2020
I am serving as a program committee member at AAAI 2021.
-
Aug
2020
I authored a new
book chapter on Domain Adaptation.
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Jul
2020
I am serving as a program committee member at WACV 2021.
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April
2020
New
arXiv Pre-print titled "Out-of-the-box channel pruned networks" published.
-
Mar
2020
I have a
patent issued on privacy preserving ML.
-
Nov
2019
I will be starting a new role as an Applied Scientist at Alexa AI.
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Aug
2019
Code for d-SNE is now available.
-
May
2019
arXiv Pre-print titled "dSNE: Domain
adaptation using Stochastic Neighborhood Embedding" is now available.
-
Mar
2019
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Mar
2019
My paper on 'Domain Adaptation using Stochastic Neighborhood Embedding'
has been accepted for an Oral presentation at CVPR 2019. Source code and pre-print are upcoming.
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Feb
2019
I will be visiting GE Healthcare at San Ramon on Feb 6th.
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Feb
2019
I will be conducting a workshop on AWS Sagemaker Computer Vision at Amazon
A9 in San Jose on Feb 4, 5.
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Nov
2018
-
Nov
2018
-
Aug
2018
My
blog
on Bring your own tensorflow and mxnet models to AWS Sagemaker is out now.
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April
2018
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Nov
2017
I joined Amazon Web Services as a Research Scientist.
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October
2017
I successfully defended my dissertation.
-
October
2017
I will be defending my PhD Dissertation on the 25th of October.
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August
2017
I made a guide for migration from theano to tensorflow. It is available
here.
-
August
2017
I will be giving a talk on Professional Networking at the ASU Fall 2017
Graduate Student Orientation.
-
July
2017
I am writing a book chapter on "Image features and feature learning", to be
published in late 2017.
-
July
2017
I successfully defended by PhD Proposal and passed all my comprehensive and
qualifier exams.
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July
2017
My PhD candidacy proposal defense will be on 19th July.
-
July
2017
Updated version of the incremental learning paper is out on
arXiv along
with
updated code.
-
June
2017
I will be joining Amazon Web Services as a Research Scientist in November.
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June
2017
I will be visiting Amazon, Seattle on 14th June.
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May
2017
I have a paper, co-authored with Parag Chandakkar on Multi-Instance retrieval
accepted in SPIE Journal of Medical Imaging.
-
May
2017
I will be visiting NVIDIA, Santa Clara on 6th June.
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May
2017
arXiv paper titled "A Strategy
for an Uncompromising Incremental Learner"
published along with
source code.
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Apr
2017
I will be visiting Qualcomm, San-Diego on 9th May.
-
Apr
2017
I will be visiting Siemens Healthcare, Princeton on 5th May.
-
Mar
2017
I will be attending the 50th year ceremony of ACM Turing Awards courtesy
SIGMM scholarship.
-
Mar
2017
I will be vising Facebook Seattle and the Facebook ML seminar during the
first week of April.
-
Jan
2017
I'm instructing the newly created course CSE591: Introduction to deep Learning
for visual computing
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Oct
2016
I was volunteering with ICIP 2016 Organizing Committee.
-
Aug
2016
I will be the teaching assistant for CSE 569: Statistical pattern recognition.
-
May
2016
I have an oral paper accepted to to
ICIP 2016. I released its
source
code earlier. I also have a longer version of the paper at
arXiv.
-
April
2016
arXiv paper titled "Diving
deeper into mentee networks." published along with
source code.
-
Dec
2015
Official release of the multi-purpose theano-based
Toolbox
for building various types of CNNs.
-
Sep
2015
I have a paper accepted in
ICCV 2015.
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Aug
2015
I accepted the role of teaching assistant for Digital Video Processing.
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Feb
2015
-
Jan
2015
I am now the teaching assistant for Statistical Machine Learning.
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Nov
2014
I have a paper accepted in
ISVC 2014.
-
Aug
2014
I accepted the position of teaching assistant for the graduate level course
Fundamentals of Statistical Learning.
-
April
2014
I was with Intel® Corp. for the Spring and the Summer of 2014.
-
Dec
2013
I had an oral paper accepted in
VPQM 2014. I gave the
talk on Jan 31, 2014.
-
Aug
2013
I accepted the position of Teaching Assistant
for the course Digital Video Processing
-
Feb
2013
I gave a
talk at the SPIE conference on Medical Imaging at Florida.
-
Dec
2012
I had a
paper co-authored at SPIE Journal of Electronic Imaging.
-
Dec
2012
I had a
paper accepted at SPIE conference on Medical Imaging.
-
Dec
2012
I took the graduation walk for my MS in Electrical Engineering
-
Oct
2012
My article on
Academic Integrity got published in the The Hindu.
-
Aug
2012
I accepted the teaching assistant position for the graduate level course
Digital Video Processing for Fall 2012.
-
Aug
2012
I had a
paper accepted at ACM conference on Bio-Informatics, computational biology and bio-medicine.
-
Jul
2012
I defended my Master's Thesis Successfully.
-
Jun
2012
I had a
paper accepted at IEEE conference on Engineering in Medicine and Biology.
-
Jun
2012
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Mar
2012
My first
paper got accepted at IEEE International Conference on Image Processing.
-
Jan
2011
I started working at the
IPAlab at ASU.
-
Aug
2010
I started my Masters in Signal Processing and Communication Engineering at ASU.