Stéphane Lathuilière

Orcid: 0000-0001-6927-8930

According to our database1, Stéphane Lathuilière authored at least 65 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Promptable Game Models: Text-guided Game Simulation via Masked Diffusion Models.
ACM Trans. Graph., April, 2024

OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras.
CoRR, 2024

Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing.
CoRR, 2024

Privacy-Preserving Adaptive Re-Identification without Image Transfer.
CoRR, 2024

One-Shot Unlearning of Personal Identities.
CoRR, 2024

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning.
CoRR, 2024

Source-Guided Similarity Preservation for Online Person Re-Identification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Mini but Mighty: Finetuning ViTs with Mini Adapters.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards image compression with perfect realism at ultra-low bitrates.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Collaborating Foundation Models for Domain Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Weighted Ensemble Models Are Strong Continual Learners.
CoRR, 2023

Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation.
CoRR, 2023

Plotting Behind the Scenes: Towards Learnable Game Engines.
CoRR, 2023

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Predictive Coding for Animation-Based Video Compression.
Proceedings of the IEEE International Conference on Image Processing, 2023

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-shot spatial layout conditioning for text-to-image diffusion models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Test Your Samples Jointly: Pseudo-Reference for Image Quality Evaluation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Few-shot Semantic Image Synthesis with Class Affinity Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Face Aging via Diffusion-based Editing.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation.
CoRR, 2022

A Hybrid Deep Animation Codec for Low-Bitrate Video Conferencing.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Custom Structure Preservation in Face Aging.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Online Unsupervised Domain Adaptation for Person Re-identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Playable Environments: Video Manipulation in Space and Time.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Hybrid dual stream blender for wide baseline view synthesis.
Signal Process. Image Commun., 2021

Appearance and Pose-Conditioned Human Image Generation Using Deformable GANs.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

HEMP: High-order entropy minimization for neural network compression.
Neurocomputing, 2021

A Unified Objective for Novel Class Discovery.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Click to Move: Controlling Video Generation with Sparse Motion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ultra-Low Bitrate Video Conferencing Using Deep Image Animation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Playable Video Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Comprehensive Analysis of Deep Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Attention-based Fusion for Multi-source Human Image Generation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

DR2S: Deep Regression with Region Selection for Camera Quality Evaluation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Motion-supervised Co-Part Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-Domain Image-to-Image Translation with Adaptive Inference Graph.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Visual Voice Activity Detection with an Automatically Annotated Dataset.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning to Cluster Under Domain Shift.
Proceedings of the Computer Vision - ECCV 2020, 2020

Online Continual Learning Under Extreme Memory Constraints.
Proceedings of the Computer Vision - ECCV 2020, 2020

Online Depth Learning Against Forgetting in Monocular Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SF-UDA<sup>3D</sup>: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction.
Pattern Recognit. Lett., 2019

Online Adaptation through Meta-Learning for Stereo Depth Estimation.
CoRR, 2019

Camera Adversarial Transfer for Unsupervised Person Re-Identification.
CoRR, 2019

First Order Motion Model for Image Animation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Budget-Aware Adapters for Multi-Domain Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Animating Arbitrary Objects via Deep Motion Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Regression Models and Computer Vision Applications for Multi-Person Human-Robot Interaction. (Modèles profonds de regression et applications à la vision par ordinateur pour l'interaction homme-robot).
PhD thesis, 2018

Deep Reinforcement Learning for Audio-Visual Gaze Control.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Depression Severity Estimation from Multiple Modalities.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deformable GANs for Pose-Based Human Image Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction.
CoRR, 2017

Recognition of Group Activities in Videos Based on Single-and Two-Person Descriptors.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2014
Semantic Regions Recognition in UAV Images Sequence.
Proceedings of the Knowledge and Systems Engineering, 2014


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