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Found 19 papers, 5 papers with code
TeLL Me what you cant see
During criminal investigations, images of persons of interest directly influence the success of identification procedures.
SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality
3D Gaussian Splatting (3DGS) has significantly improved the efficiency and realism of three-dimensional scene visualization in several applications, ranging from robotics to eXtended Reality (XR).
Point Cloud Geometry Scalable Coding Using a Resolution and Quality-conditioned Latents Probability Estimator
Experimental results obtained by integrating SRQH in the emerging JPEG Pleno learning-based PC coding standard show that SRQH allows decoding the PC at different qualities and resolutions with a single bitstream while incurring only in a limited RD penalty and increment in complexity w. r. t.
Effectiveness of learning-based image codecs on fingerprint storage
Experimental results show that at a fixed rate point, learned solutions considerably outperform previous fingerprint coding standards, like JPEG2000, both in terms of distortion and minutiae preservation.
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
In this paper, we introduce Per-corruption Adaptation of Normalization statistics (PAN) to enhance the model robustness of vision systems.
Fingerprint Membership and Identity Inference Against Generative Adversarial Networks
Generative models are gaining significant attention as potential catalysts for a novel industrial revolution.
Point Cloud Geometry Scalable Coding with a Quality-Conditioned Latents Probability Estimator
The widespread usage of point clouds (PC) for immersive visual applications has resulted in the use of very heterogeneous receiving conditions and devices, notably in terms of network, hardware, and display capabilities.
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders
Learned image compression codecs have recently achieved impressive compression performances surpassing the most efficient image coding architectures.
Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network
State-of-the-art multimodal semantic segmentation strategies combining LiDAR and color data are usually designed on top of asymmetric information-sharing schemes and assume that both modalities are always available.
All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection
Recent advances in deep learning and computer vision have made the synthesis and counterfeiting of multimedia content more accessible than ever, leading to possible threats and dangers from malicious users.
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data
To the best of our knowledge, this is the first example of class-incremental continual learning for LiDAR point cloud semantic segmentation.
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation
Recent advances in autonomous robotic technologies have highlighted the growing need for precise environmental analysis.
The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection
The recent integration of generative neural strategies and audio processing techniques have fostered the widespread of synthetic speech synthesis or transformation algorithms.
Real or Virtual: A Video Conferencing Background Manipulation-Detection System
Additionally, it enables users to employ a virtual background to conceal their own environment due to privacy concerns or to reduce distractions, particularly in professional settings.
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
We consider the setting where the attacker can access an ATM PIN pad of the same brand/model as the target one.
Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System
On the other hand, users maybe want to fool people in the meeting by considering the virtual background to conceal where they are.
FOCAL: A Forgery Localization Framework based on Video Coding Self-Consistency
Forgery operations on video contents are nowadays within the reach of anyone, thanks to the availability of powerful and user-friendly editing software.
On the use of Benford's law to detect GAN-generated images
The advent of Generative Adversarial Network (GAN) architectures has given anyone the ability of generating incredibly realistic synthetic imagery.
Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data
Smartphones and wearable devices are fast growing technologies that, in conjunction with advances in wireless sensor hardware, are enabling ubiquitous sensing applications.
