Shagun Uppal
Shagun Uppal
Visiting Scholar @ CLVR Lab, USC | CSE Undergrad IIIT Delhi
Verified email at - Homepage
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Cited by
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
A Shukla, S Bhagat, S Uppal, S Anand, P Turaga
British Machine Vision Conference (BMVC) 2019, 2019
Geometry of Deep Generative Models for Disentangled Representations
A Shukla, S Uppal, S Bhagat, S Anand, P Turaga
ICVGIP 2018, 2019
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders
S Bhagat, S Uppal, Z Yin, N Lim
ECCV 2020, 2020
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
S Uppal, S Bhagat, D Hazarika, N Majumdar, S Poria, R Zimmermann, ...
arXiv preprint arXiv:2010.09522, 2020
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors
S Bhagat, V Udandarao, S Uppal, S Anand
European Conference on Computer Vision, 549-553, 2020
C3VQG: Category Consistent Cyclic Visual Question Generation
S Uppal, A Madan, S Bhagat, Y Yu, RR Shah
arXiv preprint arXiv:2005.07771, 2020
Two-Step Classification using Recasted Data for Low Resource Settings
S Uppal, V Gupta, A Swaminathan, H Zhang, D Mahata, R Gosangi, ...
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
Geometry of Neural Network based Disentangled Latent Space Models
S Uppal, S Bhagat
Indraprastha Institute of Information Technology New Delhi, 2019
Learning based Methods for Code Runtime Complexity Prediction
J Sikka, K Satya, Y Kumar, S Uppal, RR Shah, R Zimmermann
ECIR 2020, 2019
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