Jean-François Lalonde

research

∙ 05/08/2023

Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning

Generally, image-to-image translation (i2i) methods aim at learning mapp...

0 Mohamed Abid, et al. ∙

research

∙ 04/26/2023

EverLight: Indoor-Outdoor Editable HDR Lighting Estimation

Because of the diversity in lighting environments, existing illumination...

0 Mohammad Reza Karimi Dastjerdi, et al. ∙

research

∙ 04/24/2023

Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Temperature Prediction

Light plays an important role in human well-being. However, most compute...

0 Christophe Bolduc, et al. ∙

research

∙ 04/19/2023

DarSwin: Distortion Aware Radial Swin Transformer

Wide-angle lenses are commonly used in perception tasks requiring a larg...

0 Akshaya Athwale, et al. ∙

research

∙ 02/13/2023

Robust Unsupervised StyleGAN Image Restoration

GAN-based image restoration inverts the generative process to repair ima...

0 Yohan Poirier-Ginter, et al. ∙

research

∙ 01/31/2023

LM-GAN: A Photorealistic All-Weather Parametric Sky Model

We present LM-GAN, an HDR sky model that generates photorealistic enviro...

0 Lucas Valença, et al. ∙

research

∙ 12/08/2022

The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection

Most camera lens systems are designed in isolation, separately from down...

0 Geoffroi Côté, et al. ∙

research

∙ 11/08/2022

Editable Indoor Lighting Estimation

We present a method for estimating lighting from a single perspective im...

0 Henrique Weber, et al. ∙

research

∙ 08/25/2022

A Deep Perceptual Measure for Lens and Camera Calibration

Image editing and compositing have become ubiquitous in entertainment, f...

15 Yannick Hold-Geoffroy, et al. ∙

research

∙ 08/16/2022

Casual Indoor HDR Radiance Capture from Omnidirectional Images

We present PanoHDR-NeRF, a novel pipeline to casually capture a plausibl...

0 Pulkit Gera, et al. ∙

research

∙ 08/01/2022

AdaWCT: Adaptive Whitening and Coloring Style Injection

Adaptive instance normalization (AdaIN) has become the standard method f...

8 Antoine Dufour, et al. ∙

research

∙ 07/24/2022

Robust Scene Inference under Noise-Blur Dual Corruptions

Scene inference under low-light is a challenging problem due to severe n...

0 Bhavya Goyal, et al. ∙

research

∙ 05/12/2022

Overparameterization Improves StyleGAN Inversion

Deep generative models like StyleGAN hold the promise of semantic image ...

8 Yohan Poirier-Ginter, et al. ∙

research

∙ 04/02/2022

Matching Feature Sets for Few-Shot Image Classification

In image classification, it is common practice to train deep networks to...

0 Arman Afrasiyabi, et al. ∙

research

∙ 11/26/2021

ManiFest: Manifold Deformation for Few-shot Image Translation

Most image-to-image translation methods require a large number of traini...

0 Fabio Pizzati, et al. ∙

research

∙ 07/23/2021

Image-to-Image Translation with Low Resolution Conditioning

Most image-to-image translation methods focus on learning mappings acros...

0 Mohamed Abderrahmen Abid, et al. ∙

research

∙ 11/24/2020

Persistent Mixture Model Networks for Few-Shot Image Classification

We introduce Persistent Mixture Model (PMM) networks for representation ...

0 Arman Afrasiyabi, et al. ∙

research

∙ 10/08/2020

Deep SVBRDF Estimation on Real Materials

Recent work has demonstrated that deep learning approaches can successfu...

0 Louis-Philippe Asselin, et al. ∙

research

∙ 09/06/2020

Rain rendering for evaluating and improving robustness to bad weather

Rain fills the atmosphere with water particles, which breaks the common ...

14 Maxime Tremblay, et al. ∙

research

∙ 06/09/2020

RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking

Augmented reality devices require multiple sensors to perform various ta...

0 Etienne Dubeau, et al. ∙

research

∙ 02/07/2020

Input Dropout for Spatially Aligned Modalities

Computer vision datasets containing multiple modalities such as color, d...

0 Sébastien de Blois, et al. ∙

research

∙ 12/11/2019

Associative Alignment for Few-shot Image Classification

Few-shot image classification aims at training a model by using only a f...

0 Arman Afrasiyabi, et al. ∙

research

∙ 11/26/2019

Learning to Match Templates for Unseen Instance Detection

Detecting objects in images is a quintessential problem in computer visi...

19 Jean-Philippe Mercier, et al. ∙

research

∙ 10/19/2019

Deep Parametric Indoor Lighting Estimation

We present a method to estimate lighting from a single image of an indoo...

13 Marc-André Gardner, et al. ∙

research

∙ 08/27/2019

Physics-Based Rendering for Improving Robustness to Rain

To improve the robustness to rain, we present a physically-based rain re...

9 Shirsendu Sukanta Halder, et al. ∙

research

∙ 06/12/2019

All-Weather Deep Outdoor Lighting Estimation

We present a neural network that predicts HDR outdoor illumination from ...

5 Jinsong Zhang, et al. ∙

research

∙ 06/10/2019

Fast Spatially-Varying Indoor Lighting Estimation

We propose a real-time method to estimate spatiallyvarying indoor lighti...

5 Mathieu Garon, et al. ∙

research

∙ 06/07/2019

Structural Decompositions for End-to-End Relighting

Relighting is an essential step in artificially transferring an object f...

0 Thomas Nestmeyer, et al. ∙

research

∙ 05/10/2019

Deep Sky Modeling for Single Image Outdoor Lighting Estimation

We propose a data-driven learned sky model, which we use for outdoor lig...

0 Yannick Hold-Geoffroy, et al. ∙

research

∙ 10/15/2018

Deep Photovoltaic Nowcasting

Predicting the short-term power output of a photovoltaic panel is an imp...

0 Jinsong Zhang, et al. ∙

research

∙ 06/11/2018

Learning to Estimate Indoor Lighting from 3D Objects

In this work, we propose a step towards a more accurate prediction of th...

0 Henrique Weber, et al. ∙

research

∙ 04/26/2018

Domain Adaptation through Synthesis for Unsupervised Person Re-identification

Drastic variations in illumination across surveillance cameras make the ...

0 Slawomir Bak, et al. ∙

research

∙ 03/28/2018

Deep Photometric Stereo on a Sunny Day

Photometric Stereo in outdoor illumination remains a challenging, ill-po...

0 Yannick Hold-Geoffroy, et al. ∙

research

∙ 03/27/2018

A Framework for Evaluating 6-DOF Object Trackers

We present a challenging and realistic novel dataset for evaluating 6-DO...

0 Mathieu Garon, et al. ∙

research

∙ 12/02/2017

A Perceptual Measure for Deep Single Image Camera Calibration

Most current single image camera calibration methods rely on specific im...

0 Yannick Hold-Geoffroy, et al. ∙

research

∙ 04/01/2017

Learning to Predict Indoor Illumination from a Single Image

We propose an automatic method to infer high dynamic range illumination ...

0 Marc-André Gardner, et al. ∙

research

∙ 03/29/2017

Learning High Dynamic Range from Outdoor Panoramas

Outdoor lighting has extremely high dynamic range. This makes the proces...

0 Jinsong Zhang, et al. ∙

research

∙ 03/28/2017

Deep 6-DOF Tracking

We present a temporal 6-DOF tracking method which leverages deep learnin...

0 Mathieu Garon, et al. ∙

research

∙ 11/19/2016

Deep Outdoor Illumination Estimation

We present a CNN-based technique to estimate high-dynamic range outdoor ...

0 Yannick Hold-Geoffroy, et al. ∙

Jean-François Lalonde

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