b'David Vazquez'

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

Cattle farming is responsible for 8.8% of greenhouse gas emissions world...
11/14/2020 ∙ by Issam Laradji, et al. ∙ 4 ∙ share

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Affinity LCFCN: Learning to Segment Fish with Weak Supervision

Aquaculture industries rely on the availability of accurate fish body me...
11/06/2020 ∙ by Issam Laradji, et al. ∙ 16 ∙ share

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Synbols: Probing Learning Algorithms with Synthetic Datasets

Progress in the field of machine learning has been fueled by the introdu...
09/14/2020 ∙ by Alexandre Lacoste, et al. ∙ 58 ∙ share

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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...
09/14/2020 ∙ by Vincenzo Lomonaco, et al. ∙ 75 ∙ share

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

Visual analysis of complex fish habitats is an important step towards su...
08/28/2020 ∙ by Alzayat Saleh, et al. ∙ 0 ∙ share

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

Acquiring count annotations generally requires less human effort than po...
07/04/2020 ∙ by Issam Laradji, et al. ∙ 16 ∙ share

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LOOC: Localize Overlapping Objects with Count Supervision

Acquiring count annotations generally requires less human effort than po...
07/03/2020 ∙ by Issam H. Laradji, et al. ∙ 3 ∙ share

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Learning Data Augmentation with Online Bilevel Optimization for Image Classification

Data augmentation is a key practice in machine learning for improving ge...
06/25/2020 ∙ by Saypraseuth Mounsaveng, et al. ∙ 23 ∙ share

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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...
03/23/2020 ∙ by Sai Rajeswar, et al. ∙ 0 ∙ share

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

Learning from non-stationary data remains a great challenge for machine ...
03/12/2020 ∙ by Massimo Caccia, et al. ∙ 26 ∙ share

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Slanted Stixels: A way to represent steep streets

This work presents and evaluates a novel compact scene representation ba...
10/02/2019 ∙ by Daniel Hernandez-Juarez, et al. ∙ 15 ∙ share

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Adversarial Learning of General Transformations for Data Augmentation

Data augmentation (DA) is fundamental against overfitting in large convo...
09/21/2019 ∙ by Saypraseuth Mounsaveng, et al. ∙ 0 ∙ share

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Fourier-CPPNs for Image Synthesis

Compositional Pattern Producing Networks (CPPNs) are differentiable netw...
09/20/2019 ∙ by Mattie Tesfaldet, et al. ∙ 14 ∙ share

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

We propose a Class-Based Styling method (CBS) that can map different sty...
08/30/2019 ∙ by Lironne Kurzman, et al. ∙ 1 ∙ share

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

A major obstacle in instance segmentation is that existing methods often...
07/02/2019 ∙ by Issam H. Laradji, et al. ∙ 2 ∙ share

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Instance Segmentation with Point Supervision

Instance segmentation methods often require costly per-pixel labels. We ...
06/14/2019 ∙ by Issam H. Laradji, et al. ∙ 2 ∙ share

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Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations

Knowledge graphs store facts using relations between pairs of entities. ...
06/01/2019 ∙ by Bahare Fatemi, et al. ∙ 0 ∙ share

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Context-Aware Visual Compatibility Prediction

How do we determine whether two or more clothing items are compatible or...
02/10/2019 ∙ by Guillem Cucurull, et al. ∙ 14 ∙ share

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Where are the Blobs: Counting by Localization with Point Supervision

Object counting is an important task in computer vision due to its growi...
07/25/2018 ∙ by Issam H. Laradji, et al. ∙ 2 ∙ share

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Slanted Stixels: Representing San Francisco's Steepest Streets

In this work we present a novel compact scene representation based on St...
07/17/2017 ∙ by Daniel Hernandez-Juarez, et al. ∙ 0 ∙ share

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

Supervised learning tends to produce more accurate classifiers than unsu...
12/29/2016 ∙ by Antonio M. Lopez, et al. ∙ 0 ∙ share

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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...
12/02/2016 ∙ by David Vazquez, et al. ∙ 0 ∙ share

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

State-of-the-art approaches for semantic image segmentation are built on...
11/28/2016 ∙ by Simon Jégou, et al. ∙ 0 ∙ share

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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...
11/09/2016 ∙ by Azadeh S. Mozafari, et al. ∙ 0 ∙ share

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GPU-based Pedestrian Detection for Autonomous Driving

We propose a real-time pedestrian detection system for the embedded Nvid...
11/05/2016 ∙ by Victor Campmany, et al. ∙ 0 ∙ share

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GPU-accelerated real-time stixel computation

The Stixel World is a medium-level, compact representation of road scene...
10/13/2016 ∙ by Daniel Hernandez-Juarez, et al. ∙ 0 ∙ share

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

Dense, robust and real-time computation of depth information from stereo...
10/13/2016 ∙ by Daniel Hernandez-Juarez, et al. ∙ 0 ∙ share

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Hierarchical Adaptive Structural SVM for Domain Adaptation

A key topic in classification is the accuracy loss produced when the dat...
08/22/2014 ∙ by Jiaolong Xu, et al. ∙ 0 ∙ share

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Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

Pedestrian classifiers decide which image windows contain a pedestrian. ...
07/14/2014 ∙ by Alejandro González, et al. ∙ 0 ∙ share

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David Vazquez

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