Shagun Uppal

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Gaussian Process

Relevance Feedback

Generative Model

Emerging Trends

Top Venues

Publications

Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak
SPIN: Simultaneous Perception, Interaction and Navigation. CoRR (2024)
Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah
A Suspect Identification Framework using Contrastive Relevance Feedback. WACV (2023)
Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak
Dexterous Functional Grasping. CoRL (2023)
Sahil Goyal, Sarthak Bhagat, Shagun Uppal, Hitkul Jangra, Yi Yu, Yifang Yin, Rajiv Ratn Shah
Emotionally Enhanced Talking Face Generation. MCGE@MM (2023)
Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak
Dexterous Functional Grasping. CoRR (2023)
Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Yi Yu, Yifang Yin, Rajiv Ratn Shah
Emotionally Enhanced Talking Face Generation. CoRR (2023)
Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh
Multimodal research in vision and language: A review of current and emerging trends. Inf. Fusion 77 (2022)
Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah
Contrastive Personalization Approach to Suspect Identification (Student Abstract). AAAI (2022)
Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Dhroov Goel, Sakshat Mali, Yi Yu, Yifang Yin, Rajiv Ratn Shah
Emotional Talking Faces: Making Videos More Expressive and Realistic. MMAsia (2022)
Devansh Gupta, Aditya Saini, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Ponnurangam Kumaraguru, Rajiv Ratn Shah
FaIRCoP: Facial Image Retrieval using Contrastive Personalization. CoRR (2022)
I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRL (2021)
I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRR (2021)
Sarthak Bhagat, Shagun Uppal, Vivian Yin, Nengli Lim
Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction. CoRR (2020)
Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors. CoRR (2020)
Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent
Two-Step Classification using Recasted Data for Low Resource Settings. AACL/IJCNLP (2020)
Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh
Emerging Trends of Multimodal Research in Vision and Language. CoRR (2020)
Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim
Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencoders. ECCV (23) (2020)
Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah
C3VQG: Category Consistent Cyclic Visual Question Generation. CoRR (2020)
Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann
Learning Based Methods for Code Runtime Complexity Prediction. ECIR (1) (2020)
Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah
C3VQG: category consistent cyclic visual question generation. MMAsia (2020)
Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand
DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors. ECCV Workshops (6) (2020)
Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann
Learning based Methods for Code Runtime Complexity Prediction. CoRR (2019)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC (2019)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP (2018)