Search Results for author: Harsh Agarwal

Found 10 papers, 3 papers with code

ir_explain: a Python Library of Explainable IR Methods

no code implementations29 Apr 2024 Sourav Saha, Harsh Agarwal, Swastik Mohanty, Mandar Mitra, Debapriyo Majumdar

The library is designed to make it easy to reproduce state-of-the-art ExIR baselines on standard test collections, as well as to explore new approaches to explaining IR models and methods.

Information Retrieval Retrieval

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset

no code implementations the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh

In this research, we emulate the real-world scenario of deepfake generation and spreading, and propose the DF-Platter dataset, which contains (i) both low-resolution and high-resolution deepfakes generated using multiple generation techniques and (ii) single-subject and multiple-subject deepfakes, with face images of Indian ethnicity.

DeepFake Detection Face Swapping

Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators

no code implementations25 Dec 2022 Harsh Agarwal, Heena Rathore

Parkinson's disease is marked by altered and increased firing characteristics of pathological oscillations in the brain.

Reinforcement Learning (RL)

A Seven-Layer Model for Standardising AI Fairness Assessment

no code implementations21 Dec 2022 Avinash Agarwal, Harsh Agarwal

Problem statement: Standardisation of AI fairness rules and benchmarks is challenging because AI fairness and other ethical requirements depend on multiple factors such as context, use case, type of the AI system, and so on.

Benchmarking Fairness

DeePhy: On Deepfake Phylogeny

no code implementations19 Sep 2022 Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh

In order to enable the research community to address these questions, this paper proposes DeePhy, a novel Deepfake Phylogeny dataset which consists of 5040 deepfake videos generated using three different generation techniques.

DeepFake Detection Face Swapping

DeepBLE: Generalizing RSSI-based Localization Across Different Devices

no code implementations27 Feb 2021 Harsh Agarwal, Navyata Sanghvi, Vivek Roy, Kris Kitani

Accurate smartphone localization (< 1-meter error) for indoor navigation using only RSSI received from a set of BLE beacons remains a challenging problem, due to the inherent noise of RSSI measurements.

BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text

1 code implementation SEMEVAL 2020 Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi

Sentiment Analysis of code-mixed text has diversified applications in opinion mining ranging from tagging user reviews to identifying social or political sentiments of a sub-population.

General Classification Opinion Mining +1

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

1 code implementation CVPR 2018 Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian Reid

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner.

Depth And Camera Motion Depth Prediction +2

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