Publications

* indicates equal contribution.



Conference Papers



A modular appraoch for dextrous functional grasping for in-the-wild objects using a modular approach of passive data and sim2real learning.
Conference on Robot Learning (CoRL) 2023
A policy distillation approach (MoPA-PD) for solving complex manipulation tasks in obstructed environments using visual observations in real-time.
Conference on Robot Learning (CoRL) 2021
A variational autoencoder (MGP-VAE) which uses Gaussian processes (GP) to model the latent space for the unsupervised learning of disentangled representations in video sequences.
European Conference on Computer Vision (ECCV) 2020
Learning disentangled latent space representations as a parameterized product of orthogonal spheres for images.
British Machine Vision Conference (BMVC) 2019
A selfsupervised framework to disentangle multiple factors of variation by exploiting the structural inductive biases within images.
PTSGM Workshop, ECCV, 2020; MLI4SD Workshop, ICML, 2020
A weakly-supervised VAE setting for question generation using category consistent cyclic loss and structured latent space constraints.
ACM Multimedia, MM ASIA’20; CVPR Workshop on VQA and Dialogue, 2020

Analysis of latent spaces of different models of disentanglement under the lens of Riemannian Geometry.
Indian Conference on Vision, Graphics and Image Processing (ICVGIP) 2018

Journal Papers

A detailed overview of the latest trends in research pertaining to visual and language modalities.

Teaching

Deep Learning (CSE641)

Graduate Level Course
Course offered by Dr. Saket Anand in Spring 2020

Machine Learning (CSE543)

Graduate Level Course
Course offered by Dr. Saket Anand in Fall 2019

Contact

Please feel free to reach to me for any query or interesting collaborations.

  • shagunu [at] andrew [dot] cmu [dot] edu