activity
20182023
most citedAutomatic Detection and Recognition of Individuals in Patterned Species

40 citations · 55 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CL2023

Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict

Sherzod Hakimov, Gullal S. Cheema

The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage worldwide. Understanding the global narrative surrounding this topic is crucial for researchers th…

cs.AI2023★ 2 cited

OEKG: The Open Event Knowledge Graph

Simon Gottschalk, Endri Kacupaj, Sara Abdollahi +11

Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analy…

cs.CL2022★ 2 cited

MM-Claims: A Dataset for Multimodal Claim Detection in Social Media

Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar +3

In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work o…

cs.CL2022

TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes

Sherzod Hakimov, Gullal S. Cheema, Ralph Ewerth

The detection of offensive, hateful content on social media is a challenging problem that affects many online users on a daily basis. Hateful content is often used to target a grou…

cs.SI2021

A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods

Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack +1

Opinion and sentiment analysis is a vital task to characterize subjective information in social media posts. In this paper, we present a comprehensive experimental evaluation and c…

cs.SI2021★ 3 cited

On the Role of Images for Analyzing Claims in Social Media

Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack +1

Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness…

cs.SI2021★ 2 cited

TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracy

Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth

Fake news on social media has become a hot topic of research as it negatively impacts the discourse of real news in the public. Specifically, the ongoing COVID-19 pandemic has seen…

cs.CL2020★ 6 cited

Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features

Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth

In this digital age of news consumption, a news reader has the ability to react, express and share opinions with others in a highly interactive and fast manner. As a consequence, f…

cs.CV2020★ 40 cited

Automatic Detection and Recognition of Individuals in Patterned Species

Gullal Singh Cheema, Saket Anand

Visual animal biometrics is rapidly gaining popularity as it enables a non-invasive and cost-effective approach for wildlife monitoring applications. Widespread usage of camera tra…

cs.CV2019

Primate Face Identification in the Wild

Ankita Shukla, Gullal Singh Cheema, Saket Anand +2

Ecological imbalance owing to rapid urbanization and deforestation has adversely affected the population of several wild animals. This loss of habitat has skewed the population of…

cs.LG2018

Semi-Supervised Clustering with Neural Networks

Ankita Shukla, Gullal Singh Cheema, Saket Anand

Clustering using neural networks has recently demonstrated promising performance in machine learning and computer vision applications. However, the performance of current approache…