3 citations · 10 across the 13 of their papers we have counts for
4 papers · 1 filter
Learned Point Cloud Compression for Classification
Mateen Ulhaq, Ivan V. Bajić
Deep learning is increasingly being used to perform machine vision tasks such as classification, object detection, and segmentation on 3D point cloud data. However, deep learning i…
Mobile-Cloud Inference for Collaborative Intelligence
Mateen Ulhaq
As AI applications for mobile devices become more prevalent, there is an increasing need for faster execution and lower energy consumption for deep learning model inference. Histor…
Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines
Ezgi Ozyilkan, Mateen Ulhaq, Hyomin Choi +1
As an increasing amount of image and video content will be analyzed by machines, there is demand for a new codec paradigm that is capable of compressing visual input primarily for…
Frequency-aware Learned Image Compression for Quality Scalability
Hyomin Choi, Fabien Racape, Shahab Hamidi-Rad +2
Spatial frequency analysis and transforms serve a central role in most engineered image and video lossy codecs, but are rarely employed in neural network (NN)-based approaches. We…