Publications
* indicates equal contribution.
Conference Papers
Dextrous Functional Grasping
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
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
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
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders
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
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
Learning disentangled latent space representations as a parameterized product of orthogonal spheres for images.
British Machine Vision Conference (BMVC) 2019
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors
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
C3VQG: Category Consistent Cyclic Visual Question Generation
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
Geometry of Deep Generative Models for Disentangled Representations
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
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
A detailed overview of the latest trends in research pertaining to visual and language modalities.
Teaching
Deep Learning (CSE641)
Graduate Level CourseCourse offered by Dr. Saket Anand in Spring 2020
Machine Learning (CSE543)
Graduate Level Course Course offered by Dr. Saket Anand in Fall 2019Contact
Please feel free to reach to me for any query or interesting collaborations.
- shagunu [at] andrew [dot] cmu [dot] edu