| Joint image compression and denoising via latent-space scalability S Ranjbar Alvar, M Ulhaq, H Choi, IV Bajić Frontiers in Signal Processing 2, 932873, 2022 | 10 | 2022 |
| Latent Space Motion Analysis for Collaborative Intelligence M Ulhaq, IV Bajić ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
| Learned disentangled latent representations for scalable image coding for humans and machines E Özyılkan, M Ulhaq, H Choi, F Racapé 2023 Data Compression Conference (DCC), 42-51, 2023 | 7 | 2023 |
| Shared Mobile-Cloud Inference for Collaborative Intelligence M Ulhaq, IV Bajić 2019 NeurIPS Demo, 2019 | 5 | 2019 |
| Learned Point Cloud Compression for Classification M Ulhaq, IV Bajić 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP …, 2023 | 4 | 2023 |
| Frequency-aware Learned Image Compression for Quality Scalability H Choi, F Racapé, S Hamidi-Rad, M Ulhaq, S Feltman 2022 IEEE International Conference on Visual Communications and Image …, 2022 | 3 | 2022 |
| Learned Compression of Encoding Distributions M Ulhaq, IV Bajić arXiv preprint arXiv:2406.13059, 2024 | | 2024 |
| Scalable Human-Machine Point Cloud Compression M Ulhaq, IV Bajić 2024 Picture Coding Symposium (PCS), 2024 | | 2024 |
| Learned compression for images and point clouds (Master's Thesis) M Ulhaq Simon Fraser University, 2023 | | 2023 |
| Mobile-Cloud Inference for Collaborative Intelligence (BASc Thesis) M Ulhaq arXiv preprint arXiv:2306.13982, 2020 | | 2020 |
