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08/22/2023
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
Class-Incremental Learning (CIL) aims to build classification models fro...
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06/05/2023
Weakly-Supervised Conditional Embedding for Referred Visual Search
This paper presents a new approach to image similarity search in the con...
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02/01/2023
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search
Solving jigsaw puzzles requires to grasp the visual features of a sequen...
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12/20/2022
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Recent advances in visual representation learning allowed to build an ab...
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11/28/2022
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
3D human whole-body pose estimation aims to localize precise 3D keypoint...
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11/23/2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Exemplar-free class-incremental learning is very challenging due to the ...
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10/10/2022
SCAM! Transferring humans between images with Semantic Cross Attention Modulation
A large body of recent work targets semantically conditioned image gener...
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10/05/2022
Decanus to Legatus: Synthetic training for 2D-3D human pose lifting
3D human pose estimation is a challenging task because of the difficulty...
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09/14/2022
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
Plasticity and stability are needed in class-incremental learning in ord...
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07/21/2022
Optimal precision for GANs
When learning disconnected distributions, Generative adversarial network...
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07/18/2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Recent work on Observer Network has shown promising results on Out-Of-Di...
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11/30/2021
EdiBERT, a generative model for image editing
Advances in computer vision are pushing the limits of im-age manipulatio...
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11/19/2021
Non asymptotic bounds in asynchronous sum-weight gossip protocols
This paper focuses on non-asymptotic diffusion time in asynchronous goss...
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10/19/2021
Latent reweighting, an almost free improvement for GANs
Standard formulations of GANs, where a continuous function deforms a con...
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09/16/2021
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
In this paper I investigate the effect of random seed selection on the a...
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08/18/2021
Image Collation: Matching illustrations in manuscripts
Illustrations are an essential transmission instrument. For an historian...
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08/03/2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
In this paper, we tackle the detection of out-of-distribution (OOD) obje...
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05/28/2021
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
In this paper, we show how uncertainty estimation can be leveraged to en...
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03/03/2021
Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
In this work we compare the capacity and achievable rate of uncoded fast...
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09/04/2020
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression
In this paper we propose a highly scalable convolutional neural network,...
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06/11/2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining
In deep metric learning, the training procedure relies on sampling infor...
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05/26/2020
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
We tackle the image reassembly problem with wide space between the fragm...
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04/30/2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning
Recent breakthroughs in representation learning of unseen classes and ex...
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12/15/2019
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
Human pose estimation and action recognition are related tasks since bot...
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11/21/2019
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
3D human pose estimation is frequently seen as the task of estimating 3D...
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08/07/2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Learning an effective similarity measure between image representations i...
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06/05/2019
Efficient Codebook and Factorization for Second Order Representation Learning
Learning rich and compact representations is an open topic in many field...
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07/05/2018
Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks
Archaeologists are in dire need of automated object reconstruction metho...
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06/23/2018
Leveraging Implicit Spatial Information in Global Features for Image Retrieval
Most image retrieval methods use global features that aggregate local di...
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05/02/2018
Images & Recipes: Retrieval in the cooking context
Recent advances in the machine learning community allowed different use ...
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04/30/2018
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
Designing powerful tools that support cooking activities has rapidly gai...
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04/04/2018
GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange
We address the issue of speeding up the training of convolutional neural...
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02/26/2018
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
Action recognition and human pose estimation are closely related but bot...
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10/06/2017
Human Pose Regression by Combining Indirect Part Detection and Contextual Information
In this paper, we propose an end-to-end trainable regression approach fo...
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12/31/2016
Very Fast Kernel SVM under Budget Constraints
In this paper we propose a fast online Kernel SVM algorithm under tight ...
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11/29/2016