Shalini De Mello

NVIDIA

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Shalini De Mello (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@nvidia.com
,
****@gmail.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Principal Researcher
NVIDIA (nvidia.com)
2011Present
 
Imaging Scientist
Texas Instruments (ti.com)
20082010
 
PhD student
University of Texas at Austin (ece.utexas.edu)
20042008
 
MS student
University of Texas at Austin (ece.utexas.edu)
20022004
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Hyung Chang
****@bham.ac.uk
2023Present
 
Coauthor
Wang Xi
****@inf.ethz.ch
2023Present
 
Coauthor
Ruzzi Alessandro
****@student.ethz.ch
2023Present
 
Coauthor
jix026@ucsd.edu
****@ucsd.edu
2022Present
 
Coauthor
Xucong Zhang
****@tudelft.nl
2020Present
 
Coauthor
Xiaolong Wang
****@eng.ucsd.edu
2020Present
 
Coauthor
Zheng Yufeng
****@inf.ethz.ch
2020Present
 
Coauthor
Otmar Hilliges
****@inf.ethz.ch
2019Present
 
Coauthor
Seonwook Park
****@swook.net
2019Present
 
Coauthor
Marcel Bühler
****@ethz.ch
2019Present
 
PhD Advisor
Alan Bovik
****@ece.utexas.edu
20042008
 
PhD Advisor
Mia K Markey
****@utexas.edu
20022008
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

text-image, open-vocabulary, semantic segmentation
2022Present
 
self-supervised learning
2019Present
 
meta-learning, few-shot learning
2018Present
 
deep learning, computer vision, active learning, human computer interaction
2002Present
 
face, gaze, biometric, gesture, segmentation, propagation
2002Present
 
machine learning, neural network
2002Present
 
human reconstruction and tracking
2002Present
 
medical imaging, diagnosis
20022008