Mateen Ulhaq

According to our database, Mateen Ulhaq authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Demo: Interactive real-time semantic segmentation on the edge via delayed cloud assistance.

Mateen Ulhaq, Hyomin Choi, Fabien Racapé, Subhramoy Mohanti

Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications, 2026

2025

Dedelayed: Deleting remote inference delay via on-device correction.

Dan Jacobellis, Mateen Ulhaq, Fabien Racapé, Hyomin Choi, Neeraja J. Yadwadkar

CoRR, October, 2025

Efficient Feature Compression for Machines with Global Statistics Preservation.

Md Eimran Hossain Eimon, Hyomin Choi, Fabien Racapé, Mateen Ulhaq, Velibor Adzic, Hari Kalva, Borko Furht

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing.

Juan Merlos, Fabien Racapé, Hyomin Choi, Mateen Ulhaq, Hari Kalva

Proceedings of the Data Compression Conference, 2025

2024

Learned Compression for Images and Point Clouds.

Mateen Ulhaq

CoRR, 2024

Scalable Human-Machine Point Cloud Compression.

Mateen Ulhaq, Ivan V. Bajic

Proceedings of the Picture Coding Symposium, 2024

Learned Compression of Encoding Distributions.

Mateen Ulhaq, Ivan V. Bajic

Proceedings of the IEEE International Conference on Image Processing, 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