5 papers · 1 filter
Learned Multimodal Compression for Autonomous Driving
Hadi Hadizadeh, Ivan V. Bajić
Autonomous driving sensors generate an enormous amount of data. In this paper, we explore learned multimodal compression for autonomous driving, specifically targeted at 3D object…
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…
Mutual Information Analysis in Multimodal Learning Systems
Hadi Hadizadeh, S. Faegheh Yeganli, Bahador Rashidi +1
In recent years, there has been a significant increase in applications of multimodal signal processing and analysis, largely driven by the increased availability of multimodal data…
Compressive Feature Selection for Remote Visual Multi-Task Inference
Saeed Ranjbar Alvar, Ivan V. Bajić
Deep models produce a number of features in each internal layer. A key problem in applications such as feature compression for remote inference is determining how important each fe…
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…