Shagun Uppal

According to our database, Shagun Uppal authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Emotionally Enhanced Talking Face Generation.

Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Yi Yu, Yifang Yin, Rajiv Ratn Shah

CoRR, 2023

A Suspect Identification Framework using Contrastive Relevance Feedback.

Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Emotionally Enhanced Talking Face Generation.

Sahil Goyal, Sarthak Bhagat, Shagun Uppal, Hitkul Jangra, Yi Yu, Yifang Yin, Rajiv Ratn Shah

Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Dexterous Functional Grasping.

Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak

Proceedings of the Conference on Robot Learning, 2023

2022

Multimodal research in vision and language: A review of current and emerging trends.

Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh

Inf. Fusion, 2022

FaIRCoP: Facial Image Retrieval using Contrastive Personalization.

Devansh Gupta, Aditya Saini, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Ponnurangam Kumaraguru, Rajiv Ratn Shah

CoRR, 2022

Emotional Talking Faces: Making Videos More Expressive and Realistic.

Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Dhroov Goel, Sakshat Mali, Yi Yu, Yifang Yin, Rajiv Ratn Shah

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

Contrastive Personalization Approach to Suspect Identification (Student Abstract).

Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation.

I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Emerging Trends of Multimodal Research in Vision and Language.

Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh

CoRR, 2020

DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors.

Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal

CoRR, 2020

Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction.

Sarthak Bhagat, Shagun Uppal, Vivian Yin, Nengli Lim

CoRR, 2020

C3VQG: category consistent cyclic visual question generation.

Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Two-Step Classification using Recasted Data for Low Resource Settings.

Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning Based Methods for Code Runtime Complexity Prediction.

Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the Advances in Information Retrieval, 2020

Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencoders.

Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim

Proceedings of the Computer Vision - ECCV 2020, 2020

DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors.

Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.

Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga

CoRR, 2019

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.

Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Geometry of Deep Generative Models for Disentangled Representations.

Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018