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09/20/2023
Face Aging via Diffusion-based Editing
In this paper, we address the problem of face aging: generating past or ...
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08/17/2023
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation
Source-Free Video Unsupervised Domain Adaptation (SFVUDA) methods consis...
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07/09/2023
Predictive Coding For Animation-Based Video Compression
We address the problem of efficiently compressing video for conferencing...
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06/23/2023
Zero-shot spatial layout conditioning for text-to-image diffusion models
Large-scale text-to-image diffusion models have significantly improved t...
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06/15/2023
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
To overcome the domain gap between synthetic and real-world datasets, un...
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04/07/2023
Test your samples jointly: Pseudo-reference for image quality evaluation
In this paper, we address the well-known image quality assessment proble...
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04/05/2023
Few-shot Semantic Image Synthesis with Class Affinity Transfer
Semantic image synthesis aims to generate photo realistic images given a...
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03/31/2023
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Adapting a segmentation model from a labeled source domain to a target d...
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03/23/2023
Plotting Behind the Scenes: Towards Learnable Game Engines
Game engines are powerful tools in computer graphics. Their power comes ...
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11/25/2022
Unifying conditional and unconditional semantic image synthesis with OCO-GAN
Generative image models have been extensively studied in recent years. I...
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11/02/2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation
We address the task of unconditional head motion generation to animate s...
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10/04/2022
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
In this work we address multi-target domain adaptation (MTDA) in semanti...
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07/27/2022
A Hybrid Deep Animation Codec for Low-bitrate Video Conferencing
Deep generative models, and particularly facial animation schemes, can b...
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07/22/2022
Custom Structure Preservation in Face Aging
In this work, we propose a novel architecture for face age editing that ...
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07/20/2022
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
3D point cloud semantic segmentation is fundamental for autonomous drivi...
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05/09/2022
Online Unsupervised Domain Adaptation for Person Re-identification
Unsupervised domain adaptation for person re-identification (Person Re-I...
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03/03/2022
Playable Environments: Video Manipulation in Space and Time
We present Playable Environments - a new representation for interactive ...
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08/19/2021
Click to Move: Controlling Video Generation with Sparse Motion
This paper introduces Click to Move (C2M), a novel framework for video g...
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08/19/2021
A Unified Objective for Novel Class Discovery
In this paper, we study the problem of Novel Class Discovery (NCD). NCD ...
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07/12/2021
HEMP: High-order Entropy Minimization for neural network comPression
We formulate the entropy of a quantized artificial neural network as a d...
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01/28/2021
Playable Video Generation
This paper introduces the unsupervised learning problem of playable vide...
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01/11/2021
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
In this work, we address the problem of multi-domain image-to-image tran...
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12/01/2020
Ultra-low bitrate video conferencing using deep image animation
In this work we propose a novel deep learning approach for ultra-low bit...
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10/16/2020
SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
3D object detectors based only on LiDAR point clouds hold the state-of-t...
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09/23/2020
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
Visual voice activity detection (V-VAD) uses visual features to predict ...
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09/21/2020
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation
In this work, we tackle the problem of estimating a camera capability to...
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08/11/2020
Learning to Cluster under Domain Shift
While unsupervised domain adaptation methods based on deep architectures...
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08/04/2020
Online Continual Learning under Extreme Memory Constraints
Continual Learning (CL) aims to develop agents emulating the human abili...
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04/07/2020
Motion-supervised Co-Part Segmentation
Recent co-part segmentation methods mostly operate in a supervised learn...
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02/29/2020
First Order Motion Model for Image Animation
Image animation consists of generating a video sequence so that an objec...
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09/17/2019
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks
Recent deep monocular depth estimation approaches based on supervised re...
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05/15/2019
Budget-Aware Adapters for Multi-Domain Learning
Multi-Domain Learning (MDL) refers to the problem of learning a set of m...
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05/07/2019
Attention-based Fusion for Multi-source Human Image Generation
We present a generalization of the person-image generation task, in whic...
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04/30/2019
Appearance and Pose-Conditioned Human Image Generation using Deformable GANs
In this paper, we address the problem of generating person images condit...
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04/17/2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation
In this work, we tackle the problem of online adaptation for stereo dept...
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04/02/2019
Camera Adversarial Transfer for Unsupervised Person Re-Identification
Unsupervised person re-identification (Re-ID) methods consist of trainin...
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03/11/2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
Nowadays, the majority of state of the art monocular depth estimation te...
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02/28/2019
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View
In this paper we address the problems of detecting objects of interest i...
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12/20/2018
Animating Arbitrary Objects via Deep Motion Transfer
This paper introduces a novel deep learning framework for image animatio...
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08/28/2018
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model
In this paper, we address the problem of how to robustly train a ConvNet...
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03/22/2018
A Comprehensive Analysis of Deep Regression
Deep learning revolutionized data science, and recently, its popularity ...
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12/29/2017
Deformable GANs for Pose-based Human Image Generation
In this paper we address the problem of generating person images conditi...
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11/18/2017
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction
This paper introduces a novel neural network-based reinforcement learnin...
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11/10/2017
