most citedMalicious or Benign? Towards Effective Content Moderation for Children's Videos

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

SC-Phi2: A Fine-tuned Small Language Model for StarCraft II Macromanagement Tasks

Muhammad Junaid Khan, Gita Sukthankar

This paper introduces SC-Phi2, a fine-tuned StarCraft II small language model for macromanagement tasks. Small language models, like Phi2, Gemma, and DistilBERT, are streamlined ve…

cs.LG2024

Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning

Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar

We present a novel method aimed at enhancing the sample efficiency of ensemble Q learning. Our proposed approach integrates multi-head self-attention into the ensembled Q networks…

cs.CV2024

Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion

Syed Hammad Ahmed, Muhammad Junaid Khan, Gita Sukthankar

Due to the rise in video content creation targeted towards children, there is a need for robust content moderation schemes for video hosting platforms. A video that is visually ben…

cs.CV2023★ 7 cited

Malicious or Benign? Towards Effective Content Moderation for Children's Videos

Syed Hammad Ahmed, Muhammad Junaid Khan, H. M. Umer Qaisar +1

Online video platforms receive hundreds of hours of uploads every minute, making manual content moderation impossible. Unfortunately, the most vulnerable consumers of malicious vid…

cs.LG2023

Understanding why shooters shoot -- An AI-powered engine for basketball performance profiling

Alejandro Rodriguez Pascual, Ishan Mehta, Muhammad Khan +2

Understanding player shooting profiles is an essential part of basketball analysis: knowing where certain opposing players like to shoot from can help coaches neutralize offensive…