Detect perceptually identical audio segments/matches among audio items or streams. read more of Audio Reuse Detection

Diffprivlib is a general-purpose library for experimenting with, investigating and developing applications in, differential privacy. read more of Diffprivlib: The IBM Differential Privacy Library

Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications: - Autonomous Systems (cars, drones, vessels) Perception, - Robotics Perception and Control, - Intelligent Human-Machine Int... read more of Computer Vision

Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world compl... read more of Social Impact of AI Science and Engineering: Information Filtering and Disinformation

This is a fork of Few-shot Object Detection (FsDet) method, adding an easy to use tool for training on custom datasets read more of Few-Shot Object Detection (FsDet) - Training tools for custom data

AdaFamily: A family of Adam-like adaptive gradient methods for training neural networks read more of AdaFamily optimizer

Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe ... read more of AI Science and Engineering: A new scientific discipline?

Novel framework for Playable Video Generation that is trained in a self-supervised manner on a large dataset of unlabelled videos. We employ an encoder-decoder architecture where the predicted action labels act as bottleneck. The network is constrained to... read more of Playable Video Generation

A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data. The Neighborhood Contrastive Learning (NCL) framework effectively leverages the local... read more of Neighborhood Contrastive Learning for Novel Class Discovery

PyTorch implementation of Intrinsic-Extrinsic Preserved Generative Adversarial Network (IEP-GAN) for both intrinsic (i.e., shape) and extrinsic (i.e., pose) information preservation. Extrinsically, a co-occurrence discriminator is used to capture the stru... read more of IEP-GAN: Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer