In this paper, we address the problem of face aging: generating past or
...
Source-Free Video Unsupervised Domain Adaptation (SFVUDA) methods consis...
We address the problem of efficiently compressing video for conferencing...
Large-scale text-to-image diffusion models have significantly improved t...
To overcome the domain gap between synthetic and real-world datasets,
un...
In this paper, we address the well-known image quality assessment proble...
Semantic image synthesis aims to generate photo realistic images given a...
Adapting a segmentation model from a labeled source domain to a target
d...
Game engines are powerful tools in computer graphics. Their power comes ...
Generative image models have been extensively studied in recent years. I...
We address the task of unconditional head motion generation to animate s...
In this work we address multi-target domain adaptation (MTDA) in semanti...
Deep generative models, and particularly facial animation schemes, can b...
In this work, we propose a novel architecture for face age editing that ...
3D point cloud semantic segmentation is fundamental for autonomous drivi...
Unsupervised domain adaptation for person re-identification (Person Re-I...
We present Playable Environments - a new representation for interactive ...
This paper introduces Click to Move (C2M), a novel framework for video
g...
In this paper, we study the problem of Novel Class Discovery (NCD). NCD ...
We formulate the entropy of a quantized artificial neural network as a
d...
This paper introduces the unsupervised learning problem of playable vide...
In this work, we address the problem of multi-domain image-to-image
tran...
In this work we propose a novel deep learning approach for ultra-low bit...
3D object detectors based only on LiDAR point clouds hold the
state-of-t...
Visual voice activity detection (V-VAD) uses visual features to predict
...
In this work, we tackle the problem of estimating a camera capability to...
While unsupervised domain adaptation methods based on deep architectures...
Continual Learning (CL) aims to develop agents emulating the human abili...
Recent co-part segmentation methods mostly operate in a supervised learn...
Image animation consists of generating a video sequence so that an objec...
Recent deep monocular depth estimation approaches based on supervised
re...
Multi-Domain Learning (MDL) refers to the problem of learning a set of m...
We present a generalization of the person-image generation task, in whic...
In this paper, we address the problem of generating person images condit...
In this work, we tackle the problem of online adaptation for stereo dept...
Unsupervised person re-identification (Re-ID) methods consist of trainin...
Nowadays, the majority of state of the art monocular depth estimation
te...
In this paper we address the problems of detecting objects of interest i...
This paper introduces a novel deep learning framework for image animatio...
In this paper, we address the problem of how to robustly train a ConvNet...
Deep learning revolutionized data science, and recently, its popularity ...
In this paper we address the problem of generating person images conditi...
This paper introduces a novel neural network-based reinforcement learnin...
Depression is a major debilitating disorder which can affect people from...