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Found 13 papers, 0 papers with code
LaWa: Using Latent Space for In-Generation Image Watermarking
By using coarse-to-fine watermark embedding modules, LaWa modifies the latent space of pre-trained autoencoders and achieves high robustness against a wide range of image transformations while preserving perceptual quality of the image.
Compressive Feature Selection for Remote Visual Multi-Task Inference
A key problem in applications such as feature compression for remote inference is determining how important each feature is for the task(s) performed by the model.
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages
Despite the success of these multi-modal language models with different modalities, there is no existing solution for neural network architectures and natural languages.
Joint Image Compression and Denoising via Latent-Space Scalability
In this paper, we present a learning-based image compression framework where image denoising and compression are performed jointly.
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes
Traffic scene analysis is important for emerging technologies such as smart traffic management and autonomous vehicles.
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation
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.
Practical Noise Simulation for RGB Images
This document describes a noise generator that simulates realistic noise found in smartphone cameras.
Pareto-Optimal Bit Allocation for Collaborative Intelligence
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
In CI, a deep neural network is split between the mobile device and the cloud.
FDDB-360: Face Detection in 360-degree Fisheye Images
360-degree cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors.
MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detection
Object tracking is the cornerstone of many visual analytics systems.
Can you find a face in a HEVC bitstream?
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?
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?
