Stéphane Lathuilière

research

∙ 09/20/2023

Face Aging via Diffusion-based Editing

In this paper, we address the problem of face aging: generating past or ...

0 Xiangyi Chen, et al. ∙

research

∙ 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...

0 Giacomo Zara, et al. ∙

research

∙ 07/09/2023

Predictive Coding For Animation-Based Video Compression

We address the problem of efficiently compressing video for conferencing...

0 Goluck Konuko, et al. ∙

research

∙ 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...

0 Guillaume Couairon, et al. ∙

research

∙ 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...

0 Tianyu Li, et al. ∙

research

∙ 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...

0 Marcelin Tworski, et al. ∙

research

∙ 04/05/2023

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Semantic image synthesis aims to generate photo realistic images given a...

0 Marlène Careil, et al. ∙

research

∙ 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...

0 Yasser Benigmim, et al. ∙

research

∙ 03/23/2023

Plotting Behind the Scenes: Towards Learnable Game Engines

Game engines are powerful tools in computer graphics. Their power comes ...

0 Willi Menapace, et al. ∙

research

∙ 11/25/2022

Unifying conditional and unconditional semantic image synthesis with OCO-GAN

Generative image models have been extensively studied in recent years. I...

0 Marlène Careil, et al. ∙

research

∙ 11/02/2022

Autoregressive GAN for Semantic Unconditional Head Motion Generation

We address the task of unconditional head motion generation to animate s...

0 Louis Airale, et al. ∙

research

∙ 10/04/2022

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation

In this work we address multi-target domain adaptation (MTDA) in semanti...

11 Yangsong Zhang, et al. ∙

research

∙ 07/27/2022

A Hybrid Deep Animation Codec for Low-bitrate Video Conferencing

Deep generative models, and particularly facial animation schemes, can b...

0 Goluck Konuko, et al. ∙

research

∙ 07/22/2022

Custom Structure Preservation in Face Aging

In this work, we propose a novel architecture for face age editing that ...

0 Guillermo Gomez-Trenado, et al. ∙

research

∙ 07/20/2022

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

3D point cloud semantic segmentation is fundamental for autonomous drivi...

0 Cristiano Saltori, et al. ∙

research

∙ 05/09/2022

Online Unsupervised Domain Adaptation for Person Re-identification

Unsupervised domain adaptation for person re-identification (Person Re-I...

8 Hamza Rami, et al. ∙

research

∙ 03/03/2022

Playable Environments: Video Manipulation in Space and Time

We present Playable Environments - a new representation for interactive ...

2 Willi Menapace, et al. ∙

research

∙ 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...

3 Pierfrancesco Ardino, et al. ∙

research

∙ 08/19/2021

A Unified Objective for Novel Class Discovery

In this paper, we study the problem of Novel Class Discovery (NCD). NCD ...

0 Enrico Fini, et al. ∙

research

∙ 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...

0 Enzo Tartaglione, et al. ∙

research

∙ 01/28/2021

Playable Video Generation

This paper introduces the unsupervised learning problem of playable vide...

1 Willi Menapace, et al. ∙

research

∙ 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...

8 The-Phuc Nguyen, et al. ∙

research

∙ 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...

0 Goluck Konuko, et al. ∙

research

∙ 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...

0 Cristiano Saltori, et al. ∙

research

∙ 09/23/2020

Learning Visual Voice Activity Detection with an Automatically Annotated Dataset

Visual voice activity detection (V-VAD) uses visual features to predict ...

6 Sylvain Guy, et al. ∙

research

∙ 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...

6 Marcelin Tworski, et al. ∙

research

∙ 08/11/2020

Learning to Cluster under Domain Shift

While unsupervised domain adaptation methods based on deep architectures...

0 Willi Menapace, et al. ∙

research

∙ 08/04/2020

Online Continual Learning under Extreme Memory Constraints

Continual Learning (CL) aims to develop agents emulating the human abili...

0 Enrico Fini, et al. ∙

research

∙ 04/07/2020

Motion-supervised Co-Part Segmentation

Recent co-part segmentation methods mostly operate in a supervised learn...

1 Aliaksandr Siarohin, et al. ∙

research

∙ 02/29/2020

First Order Motion Model for Image Animation

Image animation consists of generating a video sequence so that an objec...

0 Aliaksandr Siarohin, et al. ∙

research

∙ 09/17/2019

Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks

Recent deep monocular depth estimation approaches based on supervised re...

12 Andrea Pilzer, et al. ∙

research

∙ 05/15/2019

Budget-Aware Adapters for Multi-Domain Learning

Multi-Domain Learning (MDL) refers to the problem of learning a set of m...

0 Rodrigo Berriel, et al. ∙

research

∙ 05/07/2019

Attention-based Fusion for Multi-source Human Image Generation

We present a generalization of the person-image generation task, in whic...

0 Stéphane Lathuilière, et al. ∙

research

∙ 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...

0 Aliaksandr Siarohin, et al. ∙

research

∙ 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...

0 Zhenyu Zhang, et al. ∙

research

∙ 04/02/2019

Camera Adversarial Transfer for Unsupervised Person Re-Identification

Unsupervised person re-identification (Re-ID) methods consist of trainin...

0 Guillaume Delorme, et al. ∙

research

∙ 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...

0 Andrea Pilzer, et al. ∙

research

∙ 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...

10 Benoit Massé, et al. ∙

research

∙ 12/20/2018

Animating Arbitrary Objects via Deep Motion Transfer

This paper introduces a novel deep learning framework for image animatio...

18 Aliaksandr Siarohin, et al. ∙

research

∙ 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...

0 Stéphane Lathuilière, et al. ∙

research

∙ 03/22/2018

A Comprehensive Analysis of Deep Regression

Deep learning revolutionized data science, and recently, its popularity ...

2 Stéphane Lathuilière, et al. ∙

research

∙ 12/29/2017

Deformable GANs for Pose-based Human Image Generation

In this paper we address the problem of generating person images conditi...

0 Aliaksandr Siarohin, et al. ∙

research

∙ 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...

0 Stéphane Lathuilière, et al. ∙

research

∙ 11/10/2017

Depression Severity Estimation from Multiple Modalities

Depression is a major debilitating disorder which can affect people from...

0 Evgeny Stepanov, et al. ∙

Stéphane Lathuilière

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