EDBT 2026 Demo / reviewers in the wild / expert
Muhammad Irzam Liaqat
dblp:328/9176
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0009-1265-7337ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Face, body and person analysis · 100% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Face, body and person analysis › person identification
voice-face association |
0.8 | 1 | 2024 | A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments · ACM Multimedia 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
Abdul Hannan, Muhammad Arslan Manzoor, Shah Nawaz, Muhammad Irzam Liaqat, Markus Schedl, Mubashir Noman |
INTERSPEECH | 4 |
| 2024 | A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments
Muhammad Saad Saeed, Shah Nawaz, Marta Moscati, Rohan Kumar Das, Muhammad Salman Tahir, Muhammad Zaigham Zaheer, Muhammad Irzam Liaqat, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Markus Schedl |
ACM Multimedia | 7 |