Publications related to Image-Based Localization Using the Plenoptic Function

Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials

Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions. Such pairwise functions underpin the effectiveness of non-lo ...

IEEE2021

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Shaokai Ye, Yuan He, Hang Su, Jinfeng Li

We study the query-based attack against image retrieval to evaluate its robustness against adversarial examples under the black-box setting, where the adversary only has query access to the top-1 ranked unlabeled images from the database. Compared with que ...

IEEE COMPUTER SOC2021

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Nicolas Henri Bernard Flammarion, Maksym Andriushchenko, Francesco Croce

A large body of research has focused on adversarial attacks which require to modify all input features with small l2- or l∞-norms. In this paper we instead focus on query-efficient sparse attacks in the black-box setting. Our versatile framework, Sparse-RS ...

2020

ExprADA: Adversarial domain adaptation for facial expression analysis

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar

We propose a deep neural network based image-to-image translation for domain adaptation, which aims at finding translations between image domains. Despite recent GAN based methods showing promising results in image-to-image translation, they are prone to f ...

2020

PifPaf: Composite Fields for Human Pose Estimation

Alexandre Massoud Alahi, Sven Kreiss, Lorenzo Bertoni

We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots. The new method, PifPaf, uses a Part Intensity Field (PIF) to localize body parts ...

IEEE2019

Large-Scale Image Segmentation with Convolutional Networks

Pedro Henrique Oliveira Pinheiro

Object recognition is one of the most important problems in computer vision. However, visual recognition poses many challenges when tried to be reproduced by artificial systems. A main challenge is the problem of variability: objects can appear across huge ...

EPFL2017

Large-Scale Image Segmentation with Convolutional Networks

Pedro Henrique Oliveira Pinheiro

Sciences et Techniques de l’Ingénieur (STI)2017

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Wenzel Alban Jakob

Renderings of animation sequences with physics-based Monte Carlo light transport simulations are exceedingly costly to generate frame-by-frame, yet much of this computation is highly redundant due to the strong coherence in space, time and among samples. A ...

Eurographics Association2015

LCAV-31: a dataset for light field object recognition

Martin Vetterli, Alireza Ghasemi, Nelly Julie Afonso

We present LCAV-31, a multi-view object recognition dataset designed specifically for benchmarking light field image analysis tasks. The principal distinctive factor of LCAV-31 compared to similar datasets is its design goals and availability of novel visu ...

International Society for Optics and Photonics2014

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Image-Based Localization Using the Plenoptic Function

Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

ExprADA: Adversarial domain adaptation for facial expression analysis

PifPaf: Composite Fields for Human Pose Estimation

Variational Methods for Human Modeling

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

LCAV-31: a dataset for light field object recognition

Graph Chatbot

Chat with Graph Search

Variational Methods for Human Modeling

Large-Scale Image Segmentation with Convolutional Networks

LCAV-31: a dataset for light field object recognition

Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Large-Scale Image Segmentation with Convolutional Networks

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

PifPaf: Composite Fields for Human Pose Estimation

ExprADA: Adversarial domain adaptation for facial expression analysis

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval