Search Results for author: Shreya Ghosh

Found 17 papers, 6 papers with code

Analysis of Elephant Movement in Sub-Saharan Africa: Ecological, Climatic, and Conservation Perspectives

no code implementations21 Jul 2023 Matthew Hines, Gregory Glatzer, Shreya Ghosh, Prasenjit Mitra

The interaction between elephants and their environment has profound implications for both ecology and conservation strategies.


Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis

no code implementations24 Jun 2023 Shreya Ghosh, Saptarshi Sengupta, Prasenjit Mitra

In this paper, we lay out a vision for analysing semantic trajectory traces and generating synthetic semantic trajectory data (SSTs) using generative language model.

Language Modelling

Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns

no code implementations5 Jun 2023 Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra

We introduce NightPulse, an interactive tool for Night-time light (NTL) data visualization and analytics, which enables researchers and stakeholders to explore and analyze NTL data with a user-friendly platform.

Clustering Data Visualization +2

Pavlok-Nudge: A Feedback Mechanism for Atomic Behaviour Modification with Snoring Usecase

no code implementations10 May 2023 Shreya Ghosh, Rakibul Hasan, Pradyumna Agrawal, Zhixi Cai, Susannah Soon, Abhinav Dhall, Tom Gedeon

To this end, we design a user interface to generate an automatic feedback mechanism that integrates Pavlok and a deep learning based model to detect certain behaviours via an integrated user interface i. e. mobile or desktop application.

Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization

1 code implementation3 May 2023 Zhixi Cai, Shreya Ghosh, Abhinav Dhall, Tom Gedeon, Kalin Stefanov, Munawar Hayat

The proposed baseline method, Boundary Aware Temporal Forgery Detection (BA-TFD), is a 3D Convolutional Neural Network-based architecture which effectively captures multimodal manipulations.

Binary Classification DeepFake Detection +2

MARLIN: Masked Autoencoder for facial video Representation LearnINg

1 code implementation CVPR 2023 Zhixi Cai, Shreya Ghosh, Kalin Stefanov, Abhinav Dhall, Jianfei Cai, Hamid Rezatofighi, Reza Haffari, Munawar Hayat

This paper proposes a self-supervised approach to learn universal facial representations from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute Recognition (FAR), Facial Expression Recognition (FER), DeepFake Detection (DFD), and Lip Synchronization (LS).

Action Classification DeepFake Detection +8

RAZE: Region Guided Self-Supervised Gaze Representation Learning

no code implementations4 Aug 2022 Neeru Dubey, Shreya Ghosh, Abhinav Dhall

Automatic eye gaze estimation is an important problem in vision based assistive technology with use cases in different emerging topics such as augmented reality, virtual reality and human-computer interaction.

Gaze Estimation Representation Learning +1

'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation

1 code implementation3 Aug 2022 Shreya Ghosh, Abhinav Dhall, Jarrod Knibbe, Munawar Hayat

Our proposed method reduces the annotation effort to as low as 2. 67%, with minimal impact on performance; indicating the potential of our model enabling gaze estimation 'in-the-wild' setup.

Gaze Estimation

AV-Gaze: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-Profilic Faces

1 code implementation7 Jul 2022 Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe

In challenging real-life conditions such as extreme head-pose, occlusions, and low-resolution images where the visual information fails to estimate visual attention/gaze direction, audio signals could provide important and complementary information.

MTGLS: Multi-Task Gaze Estimation with Limited Supervision

no code implementations23 Oct 2021 Shreya Ghosh, Munawar Hayat, Abhinav Dhall, Jarrod Knibbe

Our proposed framework outperforms the unsupervised state-of-the-art on CAVE (by 6. 43%) and even supervised state-of-the-art methods on Gaze360 (by 6. 59%) datasets.

Gaze Estimation

Automatic Gaze Analysis: A Survey of Deep Learning based Approaches

1 code implementation12 Aug 2021 Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, Qiang Ji

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Computer Interaction.

Gaze Estimation

STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management

no code implementations4 Apr 2021 Shreya Ghosh, Anwesha Mukherjee, Soumya K Ghosh, Rajkumar Buyya

Several researches and evidence show the increasing likelihood of pandemics (large-scale outbreaks of infectious disease) which has far reaching sequels in all aspects of human lives ranging from rapid mortality rates to economic and social disruption across the world.

Edge-computing Management

Nanoscale spin detection of copper ions using double electron-electron resonance at room temperature

no code implementations7 Jan 2021 Kai Zhang, Shreya Ghosh, Sunil Saxena, M. V. Gurudev Dutt

We report the nanoscale spin detection and electron paramagnetic resonance (EPR) spectrum of copper (Cu$^{2+}$) ions via double electron-electron resonance with single spins in diamond at room temperature and low magnetic fields.

Quantum Physics Mesoscale and Nanoscale Physics

Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset

no code implementations13 Apr 2020 Shreya Ghosh, Abhinav Dhall, Garima Sharma, Sarthak Gupta, Nicu Sebe

In this paper, a fully automatic technique for labelling an image based gaze behavior dataset for driver gaze zone estimation is proposed.

Gaze Prediction

Predicting Group Cohesiveness in Images

no code implementations31 Dec 2018 Shreya Ghosh, Abhinav Dhall, Nicu Sebe, Tom Gedeon

We study the factors that influence the perception of group-level cohesion and propose methods for estimating the human-perceived cohesion on the group cohesiveness scale.

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