b'David Vazquez'

research

∙ 08/22/2023

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection

Improving the reliability of deployed machine learning systems often inv...

0 Charles Guille-Escuret, et al. ∙

research

∙ 07/21/2023

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images

Training a deep learning model to classify histopathological images is c...

0 Saypraseuth Mounsaveng, et al. ∙

research

∙ 06/02/2023

Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans

Task-oriented dialogue is difficult in part because it involves understa...

0 Stefania Raimondo, et al. ∙

research

∙ 06/01/2023

FigGen: Text to Scientific Figure Generation

The generative modeling landscape has experienced tremendous growth in r...

26 Juan A. Rodriguez, et al. ∙

research

∙ 02/10/2023

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments

Text-based game environments are challenging because agents must deal wi...

1 Nicolas Gontier, et al. ∙

research

∙ 12/13/2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding

Continual Learning, also known as Lifelong or Incremental Learning, has ...

2 Lorenzo Pellegrini, et al. ∙

research

∙ 11/19/2022

Towards good validation metrics for generative models in offline model-based optimisation

In this work we propose a principled evaluation framework for model-base...

0 Christopher Beckham, et al. ∙

research

∙ 10/21/2022

Implicit Offline Reinforcement Learning via Supervised Learning

Offline Reinforcement Learning (RL) via Supervised Learning is a simple ...

0 Alexandre Piché, et al. ∙

research

∙ 10/19/2022

OCR-VQGAN: Taming Text-within-Image Generation

Synthetic image generation has recently experienced significant improvem...

19 Juan A. Rodriguez, et al. ∙

research

∙ 10/04/2022

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning

Handling out-of-distribution (OOD) samples has become a major stake in t...

23 Charles Guille-Escuret, et al. ∙

research

∙ 08/30/2022

Constraining Representations Yields Models That Know What They Don't Know

A well-known failure mode of neural networks corresponds to high confide...

8 João Monteiro, et al. ∙

research

∙ 05/24/2022

Workflow Discovery from Dialogues in the Low Data Regime

Text-based dialogues are now widely used to solve real-world problems. I...

5 Amine El Hattami, et al. ∙

research

∙ 04/05/2022

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

Data augmentation is a widely employed technique to alleviate the proble...

13 Gaurav Sahu, et al. ∙

research

∙ 03/30/2022

Challenges in leveraging GANs for few-shot data augmentation

In this paper, we explore the use of GAN-based few-shot data augmentatio...

11 Christopher Beckham, et al. ∙

research

∙ 11/23/2021

Multi-label Iterated Learning for Image Classification with Label Ambiguity

Transfer learning from large-scale pre-trained models has become essenti...

5 Sai Rajeswar, et al. ∙

research

∙ 10/27/2021

A Survey of Self-Supervised and Few-Shot Object Detection

Labeling data is often expensive and time-consuming, especially for task...

77 Gabriel Huang, et al. ∙

research

∙ 08/21/2021

SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction

Recent work has made significant progress in learning object meshes with...

19 Issam Laradji, et al. ∙

research

∙ 04/01/2021

Touch-based Curiosity for Sparse-Reward Tasks

Robots in many real-world settings have access to force/torque sensors i...

12 Sai Rajeswar, et al. ∙

research

∙ 03/30/2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

Remote sensing and automatic earth monitoring are key to solve global-sc...

4 Oscar Manas, et al. ∙

research

∙ 03/18/2021

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations

Explainability for machine learning models has gained considerable atten...

26 Pau Rodríguez, et al. ∙

research

∙ 02/18/2021

Knowledge Hypergraph Embedding Meets Relational Algebra

Embedding-based methods for reasoning in knowledge hypergraphs learn a r...

0 Bahare Fatemi, et al. ∙

research

∙ 11/14/2020

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery

Cattle farming is responsible for 8.8% of greenhouse gas emissions world...

4 Issam Laradji, et al. ∙

research

∙ 11/06/2020

Affinity LCFCN: Learning to Segment Fish with Weak Supervision

Aquaculture industries rely on the availability of accurate fish body me...

16 Issam Laradji, et al. ∙

research

∙ 09/14/2020

Synbols: Probing Learning Algorithms with Synthetic Datasets

Progress in the field of machine learning has been fueled by the introdu...

58 Alexandre Lacoste, et al. ∙

research

∙ 09/14/2020

CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions

In the last few years, we have witnessed a renewed and fast-growing inte...

75 Vincenzo Lomonaco, et al. ∙

research

∙ 08/28/2020

A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis

Visual analysis of complex fish habitats is an important step towards su...

0 Alzayat Saleh, et al. ∙

research

∙ 07/04/2020

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images

Acquiring count annotations generally requires less human effort than po...

16 Issam Laradji, et al. ∙

research

∙ 07/03/2020

LOOC: Localize Overlapping Objects with Count Supervision

Acquiring count annotations generally requires less human effort than po...

3 Issam H. Laradji, et al. ∙

research

∙ 06/25/2020

Learning Data Augmentation with Online Bilevel Optimization for Image Classification

Data augmentation is a key practice in machine learning for improving ge...

23 Saypraseuth Mounsaveng, et al. ∙

research

∙ 03/23/2020

Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation

We infer and generate three-dimensional (3D) scene information from a si...

0 Sai Rajeswar, et al. ∙

research

∙ 03/12/2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Learning from non-stationary data remains a great challenge for machine ...

26 Massimo Caccia, et al. ∙

research

∙ 10/02/2019

Slanted Stixels: A way to represent steep streets

This work presents and evaluates a novel compact scene representation ba...

15 Daniel Hernandez-Juarez, et al. ∙

research

∙ 09/21/2019

Adversarial Learning of General Transformations for Data Augmentation

Data augmentation (DA) is fundamental against overfitting in large convo...

0 Saypraseuth Mounsaveng, et al. ∙

research

∙ 09/20/2019

Fourier-CPPNs for Image Synthesis

Compositional Pattern Producing Networks (CPPNs) are differentiable netw...

14 Mattie Tesfaldet, et al. ∙

research

∙ 08/30/2019

Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation

We propose a Class-Based Styling method (CBS) that can map different sty...

1 Lironne Kurzman, et al. ∙

research

∙ 07/02/2019

Where are the Masks: Instance Segmentation with Image-level Supervision

A major obstacle in instance segmentation is that existing methods often...

2 Issam H. Laradji, et al. ∙

research

∙ 06/14/2019

Instance Segmentation with Point Supervision

Instance segmentation methods often require costly per-pixel labels. We ...

2 Issam H. Laradji, et al. ∙

research

∙ 06/01/2019

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations

Knowledge graphs store facts using relations between pairs of entities. ...

0 Bahare Fatemi, et al. ∙

research

∙ 02/10/2019

Context-Aware Visual Compatibility Prediction

How do we determine whether two or more clothing items are compatible or...

14 Guillem Cucurull, et al. ∙

research

∙ 07/25/2018

Where are the Blobs: Counting by Localization with Point Supervision

Object counting is an important task in computer vision due to its growi...

2 Issam H. Laradji, et al. ∙

research

∙ 07/17/2017

Slanted Stixels: Representing San Francisco's Steepest Streets

In this work we present a novel compact scene representation based on St...

0 Daniel Hernandez-Juarez, et al. ∙

research

∙ 12/29/2016

From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example

Supervised learning tends to produce more accurate classifiers than unsu...

0 Antonio M. Lopez, et al. ∙

research

∙ 12/02/2016

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...

0 David Vazquez, et al. ∙

research

∙ 11/28/2016

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

State-of-the-art approaches for semantic image segmentation are built on...

0 Simon Jégou, et al. ∙

research

∙ 11/09/2016

Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest

Random Forest (RF) is a successful paradigm for learning classifiers due...

0 Azadeh S. Mozafari, et al. ∙

research

∙ 11/05/2016

GPU-based Pedestrian Detection for Autonomous Driving

We propose a real-time pedestrian detection system for the embedded Nvid...

0 Victor Campmany, et al. ∙

research

∙ 10/13/2016

GPU-accelerated real-time stixel computation

The Stixel World is a medium-level, compact representation of road scene...

0 Daniel Hernandez-Juarez, et al. ∙

research

∙ 10/13/2016

Embedded real-time stereo estimation via Semi-Global Matching on the GPU

Dense, robust and real-time computation of depth information from stereo...

0 Daniel Hernandez-Juarez, et al. ∙

research

∙ 08/22/2014

Hierarchical Adaptive Structural SVM for Domain Adaptation

A key topic in classification is the accuracy loss produced when the dat...

0 Jiaolong Xu, et al. ∙

research

∙ 07/14/2014

Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

Pedestrian classifiers decide which image windows contain a pedestrian. ...

0 Alejandro González, et al. ∙

David Vazquez

Featured Co-authors