Search Results for author: Saeed Ranjbar Alvar

Found 10 papers, 0 papers with code

Joint Image Compression and Denoising via Latent-Space Scalability

no code implementations4 May 2022 Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi, Ivan V. Bajić

In this paper, we present a learning-based image compression framework where image denoising and compression are performed jointly.

Image Compression Image Denoising +1

License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes

no code implementations3 May 2022 Saeed Ranjbar Alvar, Korcan Uyanik, Ivan V. Bajić

Traffic scene analysis is important for emerging technologies such as smart traffic management and autonomous vehicles.

Autonomous Vehicles Management

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation

no code implementations10 Mar 2022 Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang

Image-to-image translation models are shown to be vulnerable to the Membership Inference Attack (MIA), in which the adversary's goal is to identify whether a sample is used to train the model or not.

Image-to-Image Translation Inference Attack +3

Practical Noise Simulation for RGB Images

no code implementations30 Jan 2022 Saeed Ranjbar Alvar, Ivan V. Bajić

This document describes a noise generator that simulates realistic noise found in smartphone cameras.

Image Denoising

Pareto-Optimal Bit Allocation for Collaborative Intelligence

no code implementations25 Sep 2020 Saeed Ranjbar Alvar, Ivan V. Bajić

Moreover, we provide analytical characterization of the full Pareto set for 2-stream k-task systems, and bounds on the Pareto set for 3-stream 2-task systems.

Bit Allocation for Multi-Task Collaborative Intelligence

no code implementations14 Feb 2020 Saeed Ranjbar Alvar, Ivan V. Bajić

In CI, a deep neural network is split between the mobile device and the cloud.

FDDB-360: Face Detection in 360-degree Fisheye Images

no code implementations7 Feb 2019 Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajic, Rodney G. Vaughan

360-degree cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors.

Face Detection

Can you find a face in a HEVC bitstream?

no code implementations30 Oct 2017 Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic

Finding faces in images is one of the most important tasks in computer vision, with applications in biometrics, surveillance, human-computer interaction, and other areas.

Can you tell a face from a HEVC bitstream?

no code implementations9 Sep 2017 Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic

We focus on one of the poster problems of visual analytics -- face detection -- and approach the issue of reducing the computation by asking: Is it possible to detect a face without full image reconstruction from the High Efficiency Video Coding (HEVC) bitstream?

Face Detection Image Reconstruction

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