Mateen Ulhaq

According to our database, Mateen Ulhaq authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Scalable Human-Machine Point Cloud Compression.

Mateen Ulhaq, Ivan V. Bajic

CoRR, 2024

2023

Mobile-Cloud Inference for Collaborative Intelligence.

Mateen Ulhaq

CoRR, 2023

Learned Point Cloud Compression for Classification.

Mateen Ulhaq, Ivan V. Bajic

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines.

Ezgi Özyilkan, Mateen Ulhaq, Hyomin Choi, Fabien Racapé

Proceedings of the Data Compression Conference, 2023

2022

Joint Image Compression and Denoising via Latent-Space Scalability.

Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi, Ivan V. Bajic

CoRR, 2022

Frequency-aware Learned Image Compression for Quality Scalability.

Hyomin Choi, Fabien Racapé, Shahab Hamidi-Rad, Mateen Ulhaq, Simon Feltman

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021

Analysis of Latent-Space Motion for Collaborative Intelligence.

Mateen Ulhaq, Ivan V. Bajic

CoRR, 2021

Latent Space Motion Analysis for Collaborative Intelligence.

Mateen Ulhaq, Ivan V. Bajic

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Shared Mobile-Cloud Inference for Collaborative Intelligence.

Mateen Ulhaq, Ivan V. Bajic

CoRR, 2020