Sarthak Bhagat

Orcid: 0000-0002-9067-0926

According to our database1, Sarthak Bhagat authored at least 24 papers between 2018 and 2024.

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Bibliography

2024
WROOM: An Autonomous Driving Approach for Off-Road Navigation.
CoRR, 2024

ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition.
CoRR, 2024

2023
Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos.
CoRR, 2023

Emotionally Enhanced Talking Face Generation.
CoRR, 2023

A Suspect Identification Framework using Contrastive Relevance Feedback.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Emotionally Enhanced Talking Face Generation.
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Sample-Efficient Learning of Novel Visual Concepts.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Multimodal research in vision and language: A review of current and emerging trends.
Inf. Fusion, 2022

FaIRCoP: Facial Image Retrieval using Contrastive Personalization.
CoRR, 2022

Emotional Talking Faces: Making Videos More Expressive and Realistic.
Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

Contrastive Personalization Approach to Suspect Identification (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Target-Following Double Deep Q-Networks for UAVs.
CoRR, 2021

2020
Emerging Trends of Multimodal Research in Vision and Language.
CoRR, 2020

UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning.
CoRR, 2020

DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors.
CoRR, 2020

Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction.
CoRR, 2020

C3VQG: category consistent cyclic visual question generation.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencoders.
Proceedings of the Computer Vision - ECCV 2020, 2020

DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Correction: Bhagat, S.; et al. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4.
Robotics, 2019

Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges.
Robotics, 2019

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.
CoRR, 2019

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Geometry of Deep Generative Models for Disentangled Representations.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018


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