6 papers
DeDelayed: Deleting Remote Inference Delay via On-Device Correction
Dan Jacobellis, Mateen Ulhaq, Fabien Racapé +2
Video comprises the vast majority of bits that are generated daily, and is the primary signal driving current innovations in robotics, remote sensing, and wearable technology. Yet,…
Wrapper-Aware Rate-Distortion Optimization in Feature Coding for Machines
Samuel Fernández-Menduiña, Hyomin Choi, Fabien Racapé +2
Feature coding for machines (FCM) is a lossy compression paradigm for split-inference. The transmitter encodes the outputs of the first part of a neural network before sending them…
Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation
Deep Shankar Pandey, Hyomin Choi, Qi Yu
Evidential deep learning (EDL) models, based on Subjective Logic, introduce a principled and computationally efficient way to make deterministic neural networks uncertainty-aware.…
CompressAI-Vision: Open-source software to evaluate compression methods for computer vision tasks
Hyomin Choi, Heeji Han, Chris Rosewarne +1
With the increasing use of neural network (NN)-based computer vision applications that process image and video data as input, interest has emerged in video compression technology o…
Semantics-Guided Generative Image Compression
Cheng-Lin Wu, Hyomin Choi, Ivan V. BajiÄ
Advancements in text-to-image generative AI with large multimodal models are spreading into the field of image compression, creating high-quality representation of images at extrem…
A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals
Róbert Busa-Fekete, Julian Zimmert, András György +6
Web refresh crawling is the problem of keeping a cache of web pages fresh, that is, having the most recent copy available when a page is requested, given a limited bandwidth availa…