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2020 – today
- 2024
[c5]Mateen Ulhaq, Ivan V. Bajic:
Scalable Human-Machine Point Cloud Compression. PCS 2024: 1-5- [i8]Mateen Ulhaq, Ivan V. Bajic:
Scalable Human-Machine Point Cloud Compression. CoRR abs/2402.12532 (2024) - [i7]Mateen Ulhaq, Ivan V. Bajic:
Learned Compression of Encoding Distributions. CoRR abs/2406.13059 (2024) - [i6]Mateen Ulhaq:
Learned Compression for Images and Point Clouds. CoRR abs/2409.08376 (2024) - 2023
- [c4]Ezgi Özyilkan, Mateen Ulhaq
, Hyomin Choi, Fabien Racapé:
Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines. DCC 2023: 42-51 - [c3]Mateen Ulhaq, Ivan V. Bajic:
Learned Point Cloud Compression for Classification. MMSP 2023: 1-6 - [i5]Mateen Ulhaq:
Mobile-Cloud Inference for Collaborative Intelligence. CoRR abs/2306.13982 (2023) - [i4]Mateen Ulhaq, Ivan V. Bajic:
Learned Point Cloud Compression for Classification. CoRR abs/2308.05959 (2023) - 2022
- [c2]Hyomin Choi, Fabien Racapé, Shahab Hamidi-Rad, Mateen Ulhaq, Simon Feltman:
Frequency-aware Learned Image Compression for Quality Scalability. VCIP 2022: 1-5 - [i3]Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi, Ivan V. Bajic:
Joint Image Compression and Denoising via Latent-Space Scalability. CoRR abs/2205.01874 (2022) - 2021
- [c1]Mateen Ulhaq, Ivan V. Bajic:
Latent Space Motion Analysis for Collaborative Intelligence. ICASSP 2021: 8498-8502 - [i2]Mateen Ulhaq, Ivan V. Bajic:
Analysis of Latent-Space Motion for Collaborative Intelligence. CoRR abs/2102.04018 (2021) - 2020
- [i1]Mateen Ulhaq, Ivan V. Bajic:
Shared Mobile-Cloud Inference for Collaborative Intelligence. CoRR abs/2002.00157 (2020)
Coauthor Index
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