Shared Mobile-Cloud Inference for Collaborative Intelligence. - Mateen Ulhaq; Ivan V. Bajic (CoRR, 2020)

Latent Space Motion Analysis for Collaborative Intelligence. - Mateen Ulhaq; Ivan V. Bajic (ICASSP, 2021)

Analysis of Latent-Space Motion for Collaborative Intelligence. - Mateen Ulhaq; Ivan V. Bajic (CoRR, 2021)

Frequency-aware Learned Image Compression for Quality Scalability. - Hyomin Choi; Fabien Racapé; Shahab Hamidi-Rad; Mateen Ulhaq; Simon Feltman (VCIP, 2022)

Joint Image Compression and Denoising via Latent-Space Scalability. - Saeed Ranjbar Alvar; Mateen Ulhaq; Hyomin Choi; Ivan V. Bajic (CoRR, 2022)

Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines. - Ezgi Özyilkan; Mateen Ulhaq; Hyomin Choi; Fabien Racapé (DCC, 2023)

Learned Point Cloud Compression for Classification. - Mateen Ulhaq; Ivan V. Bajic (MMSP, 2023)

Mobile-Cloud Inference for Collaborative Intelligence. - Mateen Ulhaq (CoRR, 2023)

Learned Compression of Encoding Distributions. - Mateen Ulhaq; Ivan V. Bajic (ICIP, 2024)

Scalable Human-Machine Point Cloud Compression. - Mateen Ulhaq; Ivan V. Bajic (PCS, 2024)

Learned Compression for Images and Point Clouds. - Mateen Ulhaq (CoRR, 2024)

Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing. - Juan Merlos; Fabien Racapé; Hyomin Choi; Mateen Ulhaq; Hari Kalva (DCC, 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 (ISCAS, 2025)