32 citations · 56 across the 12 of their papers we have counts for
7 papers · 1 filter
Privacy-Preserving Autoencoder for Collaborative Object Detection
Bardia Azizian, Ivan V. Bajic
Privacy is a crucial concern in collaborative machine vision where a part of a Deep Neural network (DNN) model runs on the edge, and the rest is executed on the cloud. In such appl…
VVC+M: Plug and Play Scalable Image Coding for Humans and Machines
Alon Harell, Yalda Foroutan, Ivan V. Bajic
Compression for machines is an emerging field, where inputs are encoded while optimizing the performance of downstream automated analysis. In scalable coding for humans and machine…
Rate-Distortion Theory in Coding for Machines and its Application
Alon Harell, Yalda Foroutan, Nilesh Ahuja +6
Recent years have seen a tremendous growth in both the capability and popularity of automatic machine analysis of images and video. As a result, a growing need for efficient compre…
Latent-space scalability for multi-task collaborative intelligence
Hyomin Choi, Ivan V. Bajic
We investigate latent-space scalability for multi-task collaborative intelligence, where one of the tasks is object detection and the other is input reconstruction. In our proposed…
Affine Transformation-Based Deep Frame Prediction
Hyomin Choi, Ivan V. Bajić
We propose a neural network model to estimate the current frame from two reference frames, using affine transformation and adaptive spatially-varying filters. The estimated affine…
Deep Frame Prediction for Video Coding
Hyomin Choi, Ivan V. Bajic
We propose a novel frame prediction method using a deep neural network (DNN), with the goal of improving video coding efficiency. The proposed DNN makes use of decoded frames, at b…