Search Results for author: Ankit Yadav

Found 6 papers, 0 papers with code

Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset

no code implementations13 Jan 2024 Ankit Yadav, Dinesh Kumar Vishwakarma

Secondly, a novel Spatio-Compression Lightweight Splice Detection Framework is proposed for accurate splice detection with minimum computational cost.

Image Forensics

Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review

no code implementations13 Jan 2024 Ankit Yadav, Dinesh Kumar Vishwakarma

Top results achieved on benchmark datasets, comparison of deep learning approaches against traditional methods and critical insights from the recent tampering detection methods are also discussed.

DeepFake Detection Face Swapping

A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler

no code implementations13 Jan 2024 Ankit Yadav, Dinesh Kumar Vishwakarma

In this work, a novel, "Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler" has been proposed.

Image Manipulation

PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLM

no code implementations8 Jan 2024 Ankit Yadav, Mayank Singh

Driven by the surge in code generation using large language models (LLMs), numerous benchmarks have emerged to evaluate these LLMs capabilities.

Code Generation

LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification

no code implementations3 Apr 2023 Ankit Yadav, Shubham Chandel, Sushant Chatufale, Anil Bandhakavi

In this work, we describe how we created the dataset, created annotations at high level and low level for different domains and how we use it to test the current state-of-the-art multilingual and multitask learning approaches.

Classification Hate Speech Detection +1

Person Re-Identification using Deep Learning Networks: A Systematic Review

no code implementations24 Dec 2020 Ankit Yadav, Dinesh Kumar Vishwakarma

This review deals with the latest state-of-the-art deep learning based approaches for person re-identification.

Metric Learning Person Re-Identification

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