GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows with Neighborhood Integrity Preservation for Virtual Try-on

no code implementations • 7 Nov 2023 • Hamza Rawal, Muhammad Junaid Ahmad, Farooq Zaman

However, optimizing a single flow predicting network for simultaneous global boundary alignment and local texture preservation results in sub-optimal flow fields.

Virtual Try-on

Parsing AUC result-figures in machine learning specific scholarly documents for semantically-enriched summarization

1 code implementation • Applied Artificial Intelligence 2021 • Iqra Safder, Hafsa Batool, Raheem Sarwar, Farooq Zaman, Naif Radi Aljohani, Raheel Nawaz, Mohamed Gaber, and Saeed-Ul Hassan

Using over 12, 000 figures extracted from 1000 scholarly documents, we show that figure specialized summaries contain more enriched terms about figure semantics.

Sentiment analysis for Urdu online reviews using deep learning models

1 code implementation • Expert Systems 2021 • qra Safder, Zainab Mahmood, Raheem Sarwar, Saeed-Ul Hassan, Farooq Zaman, Rao Muhammad Adeel Nawab, Faisal Bukhari, Rabeeh Ayaz Abbasi, Salem Alelyani, Naif Radi Aljohani, Raheel Nawaz

The objectives of this work are bifold (a) the creation of a human-annotated corpus for the research of sentiment analysis in Urdu; and (b) measurement of up-to-date model performance using a corpus.

Binary Classification Classification +1

HTSS: A Novel Hybrid Text Summarisation and Simplification Architecture

2 code implementations • Information Processing and Management 2020 • Farooq Zaman, Matthew Shardlow, Saeed-Ul Hassan, Naif Radi Aljohani, Raheel Nawaz

Our results show that our proposed HTSS model outperforms neural text simplification (NTS) on SARI score and abstractive text summarisation (ATS) on the ROUGE score.

Text Generation Text Simplification