Search Results for author: Pratik Narang

Found 9 papers, 2 papers with code

Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment

no code implementations25 Oct 2024 Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang

This work leverages representation learning based on latent spaces to mitigate bias in facial expression recognition systems, thereby enhancing a deep learning model's fairness and overall accuracy.

Facial Expression Recognition Facial Expression Recognition (FER) +2

LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation

no code implementations4 Aug 2024 Dwij Mehta, Aditya Mehta, Pratik Narang

This paper proposes a novel facial swapping module, termed as LDFaceNet (Latent Diffusion based Face Swapping Network), which is based on a guided latent diffusion model that utilizes facial segmentation and facial recognition modules for a conditioned denoising process.

Denoising Diversity +2

InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset

no code implementations30 Sep 2023 Syed Sameen Ahmad Rizvi, Preyansh Agrawal, Jagat Sesh Challa, Pratik Narang

In this work, we present InFER, a real-world multi-ethnic Indian Facial Expression Recognition dataset consisting of 10, 200 images and 4, 200 short videos of seven basic facial expressions.

Facial Expression Recognition Facial Expression Recognition (FER)

LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility

1 code implementation13 Jan 2023 Esha Pahwa, Achleshwar Luthra, Pratik Narang

It is thus crucial to form a solution that can result in a high-quality image and is efficient enough to be deployed for everyday use.

Image Restoration SSIM

TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data

1 code implementation12 Jul 2022 Vikram S Chundawat, Ayush K Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang

We present several baseline models for comparative analysis of the proposed evaluation metric with existing generative models.

Tabular Data Generation

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

no code implementations10 Feb 2021 Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang

We incorporate a self-supervision and a spectral profile regularization network to infer a plausible HSI from an RGB image.

Image Restoration

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