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eess.IV2024
Learned Compression for Images and Point Clouds
Mateen Ulhaq
Over the last decade, deep learning has shown great success at performing computer vision tasks, including classification, super-resolution, and style transfer. Now, we apply it to…
eess.IV2024
Learned Compression of Encoding Distributions
Mateen Ulhaq, Ivan V. Bajić
The entropy bottleneck introduced by Ballé et al. is a common component used in many learned compression models. It encodes a transformed latent representation using a static distr…
cs.CV2024
Scalable Human-Machine Point Cloud Compression
Mateen Ulhaq, Ivan V. Bajić
Due to the limited computational capabilities of edge devices, deep learning inference can be quite expensive. One remedy is to compress and transmit point cloud data over the netw…