Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …
emerging Internet of Things (IoT) has gained a lot of attention from the government …
Multimodal image synthesis and editing: A survey and taxonomy
As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …
among multimodal information plays a key role for the creation and perception of multimodal …
Make-a-scene: Scene-based text-to-image generation with human priors
Recent text-to-image generation methods provide a simple yet exciting conversion capability
between text and image domains. While these methods have incrementally improved the …
between text and image domains. While these methods have incrementally improved the …
Instantbooth: Personalized text-to-image generation without test-time finetuning
Recent advances in personalized image generation have enabled pre-trained text-to-image
models to learn new concepts from specific image sets. However these methods often …
models to learn new concepts from specific image sets. However these methods often …
Merlot reserve: Neural script knowledge through vision and language and sound
As humans, we navigate a multimodal world, building a holistic understanding from all our
senses. We introduce MERLOT Reserve, a model that represents videos jointly over time …
senses. We introduce MERLOT Reserve, a model that represents videos jointly over time …
Magface: A universal representation for face recognition and quality assessment
The performance of face recognition system degrades when the variability of the acquired
faces increases. Prior work alleviates this issue by either monitoring the face quality in pre …
faces increases. Prior work alleviates this issue by either monitoring the face quality in pre …
Poisoning web-scale training datasets is practical
Deep learning models are often trained on distributed, webscale datasets crawled from the
internet. In this paper, we introduce two new dataset poisoning attacks that intentionally …
internet. In this paper, we introduce two new dataset poisoning attacks that intentionally …
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
AV Savchenko, LV Savchenko… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, behaviour of students in the e-learning environment is analyzed. The novel
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
Emoca: Emotion driven monocular face capture and animation
As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
Learning an animatable detailed 3D face model from in-the-wild images
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …
they suffer several limitations. Some methods produce faces that cannot be realistically …