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08/11/2023
Learned Point Cloud Compression for Classification
Deep learning is increasingly being used to perform machine vision tasks...
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07/25/2023
SplitFed resilience to packet loss: Where to split, that is the question
Decentralized machine learning has broadened its scope recently with the...
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07/18/2023
Learned Scalable Video Coding For Humans and Machines
Video coding has traditionally been developed to support services such a...
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07/05/2023
Base Layer Efficiency in Scalable Human-Machine Coding
A basic premise in scalable human-machine coding is that the base layer ...
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07/04/2023
Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence
Collaborative intelligence (CI) involves dividing an artificial intellig...
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05/26/2023
Rate-Distortion Theory in Coding for Machines and its Application
Recent years have seen a tremendous growth in both the capability and po...
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05/17/2023
VVC+M: Plug and Play Scalable Image Coding for Humans and Machines
Compression for machines is an emerging field, where inputs are encoded ...
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05/04/2023
Conditional and Residual Methods in Scalable Coding for Humans and Machines
We present methods for conditional and residual coding in the context of...
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04/28/2023
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations
SplitFed Learning, a combination of Federated and Split Learning (FL and...
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10/03/2022
Privacy-Preserving Feature Coding for Machines
Automated machine vision pipelines do not need the exact visual content ...
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09/21/2022
Rate-Distortion in Image Coding for Machines
In recent years, there has been a sharp increase in transmission of imag...
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08/18/2022
Efficient Signed Graph Sampling via Balancing Gershgorin Disc Perfect Alignment
A basic premise in graph signal processing (GSP) is that a graph encodin...
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08/04/2022
Scalable Video Coding for Humans and Machines
Video content is watched not only by humans, but increasingly also by ma...
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06/03/2022
Adversarial Attacks on Human Vision
This article presents an introduction to visual attention retargeting, i...
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05/04/2022
Joint Image Compression and Denoising via Latent-Space Scalability
When it comes to image compression in digital cameras, denoising is trad...
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05/03/2022
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes
Traffic scene analysis is important for emerging technologies such as sm...
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02/02/2022
Does Video Compression Impact Tracking Accuracy?
Everyone "knows" that compressing a video will degrade the accuracy of o...
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01/30/2022
Practical Noise Simulation for RGB Images
This document describes a noise generator that simulates realistic noise...
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12/30/2021
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences
We present a dataset that contains object annotations with unique object...
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12/01/2021
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels
In edge-cloud collaborative intelligence (CI), an unreliable transmissio...
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06/10/2021
CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence
In collaborative intelligence, an artificial intelligence (AI) model is ...
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05/20/2021
Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion
In the race to bring Artificial Intelligence (AI) to the edge, collabora...
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05/15/2021
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
In collaborative intelligence applications, part of a deep neural networ...
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05/12/2021
Lightweight compression of neural network feature tensors for collaborative intelligence
In collaborative intelligence applications, part of a deep neural networ...
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04/25/2021
Swimmer Stroke Rate Estimation From Overhead Race Video
In this work, we propose a swimming analytics system for automatically d...
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02/13/2021
Collaborative Intelligence: Challenges and Opportunities
This paper presents an overview of the emerging area of collaborative in...
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02/08/2021
Analysis of Latent-Space Motion for Collaborative Intelligence
When the input to a deep neural network (DNN) is a video signal, a seque...
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01/30/2021
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection
Edge devices, such as cameras and mobile units, are increasingly capable...
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01/21/2021
Analysis of Information Flow Through U-Nets
Deep Neural Networks (DNNs) have become ubiquitous in medical image proc...
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09/25/2020
Pareto-Optimal Bit Allocation for Collaborative Intelligence
In recent studies, collaborative intelligence (CI) has emerged as a prom...
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09/16/2020
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
Non-Intrusive Load Monitoring (NILM) is a field of research focused on s...
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03/06/2020
Soft Video Multicasting Using Adaptive Compressed Sensing
Recently, soft video multicasting has gained a lot of attention, especia...
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02/14/2020
Bit Allocation for Multi-Task Collaborative Intelligence
Recent studies have shown that collaborative intelligence (CI) is a prom...
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02/14/2020
Back-and-Forth prediction for deep tensor compression
Recent AI applications such as Collaborative Intelligence with neural ne...
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02/01/2020
Shared Mobile-Cloud Inference for Collaborative Intelligence
As AI applications for mobile devices become more prevalent, there is an...
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01/13/2020
Towards Automated Swimming Analytics Using Deep Neural Networks
Methods for creating a system to automate the collection of swimming ana...
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06/27/2019
Datasets for Face and Object Detection in Fisheye Images
We present two new fisheye image datasets for training face and object d...
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02/14/2019
Multi-task learning with compressible features for Collaborative Intelligence
A promising way to deploy Artificial Intelligence (AI)-based services on...
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02/07/2019
FDDB-360: Face Detection in 360-degree Fisheye Images
360-degree cameras offer the possibility to cover a large area, for exam...
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12/31/2018
Deep Frame Prediction for Video Coding
We propose a novel frame prediction method using a deep neural network (...
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04/30/2018
MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detection
Object tracking is the cornerstone of many visual analytics systems. Whi...
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04/26/2018
Near-Lossless Deep Feature Compression for Collaborative Intelligence
Collaborative intelligence is a new paradigm for efficient deployment of...
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02/12/2018
Deep feature compression for collaborative object detection
Recent studies have shown that the efficiency of deep neural networks in...
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10/30/2017
High efficiency compression for object detection
Image and video compression has traditionally been tailored to human vis...
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10/30/2017
Can you find a face in a HEVC bitstream?
Finding faces in images is one of the most important tasks in computer v...
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09/09/2017
Can you tell a face from a HEVC bitstream?
Image and video analytics are being increasingly used on a massive scale...
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03/24/2016