Vittorio Ferrari

research

∙ 04/13/2023

Tracking by 3D Model Estimation of Unknown Objects in Videos

Most model-free visual object tracking methods formulate the tracking ta...

0 Denys Rozumnyi, et al. ∙

research

∙ 02/25/2023

Agile Modeling: Image Classification with Domain Experts in the Loop

Machine learning is not readily accessible to domain experts from many f...

0 Otilia Stretcu, et al. ∙

research

∙ 02/22/2023

Connecting Vision and Language with Video Localized Narratives

We propose Video Localized Narratives, a new form of multimodal video an...

0 Paul Voigtlaender, et al. ∙

research

∙ 10/25/2022

From colouring-in to pointillism: revisiting semantic segmentation supervision

The prevailing paradigm for producing semantic segmentation training dat...

0 Rodrigo Benenson, et al. ∙

research

∙ 10/14/2022

Multi-View Photometric Stereo Revisited

Multi-view photometric stereo (MVPS) is a preferred method for detailed ...

0 Berk Kaya, et al. ∙

research

∙ 06/09/2022

The Missing Link: Finding label relations across datasets

Computer Vision is driven by the many datasets which can be used for tra...

0 Jasper Uijlings, et al. ∙

research

∙ 04/04/2022

How stable are Transferability Metrics evaluations?

Transferability metrics is a maturing field with increasing interest, wh...

0 Andrea Agostinelli, et al. ∙

research

∙ 03/24/2022

RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers

We propose a transformer-based neural network architecture for multi-obj...

0 Michał J. Tyszkiewicz, et al. ∙

research

∙ 02/26/2022

Uncertainty-Aware Deep Multi-View Photometric Stereo

This paper presents a simple and effective solution to the problem of mu...

0 Berk Kaya, et al. ∙

research

∙ 11/29/2021

Urban Radiance Fields

The goal of this work is to perform 3D reconstruction and novel view syn...

0 Konstantinos Rematas, et al. ∙

research

∙ 11/29/2021

Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos

We propose a method for jointly estimating the 3D motion, 3D shape, and ...

0 Denys Rozumnyi, et al. ∙

research

∙ 11/25/2021

Transferability Metrics for Selecting Source Model Ensembles

We address the problem of ensemble selection in transfer learning: Given...

0 Andrea Agostinelli, et al. ∙

research

∙ 11/24/2021

Transferability Estimation using Bhattacharyya Class Separability

Transfer learning has become a popular method for leveraging pre-trained...

0 Michal Pándy, et al. ∙

research

∙ 10/11/2021

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo

We present an automated machine learning approach for uncalibrated photo...

0 Francesco Sarno, et al. ∙

research

∙ 10/11/2021

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

We present a modern solution to the multi-view photometric stereo proble...

0 Berk Kaya, et al. ∙

research

∙ 06/16/2021

Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

We address the novel task of jointly reconstructing the 3D shape, textur...

0 Denys Rozumnyi, et al. ∙

research

∙ 05/05/2021

A Step Toward More Inclusive People Annotations for Fairness

The Open Images Dataset contains approximately 9 million images and is a...

7 Candice Schumann, et al. ∙

research

∙ 03/24/2021

Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

Transfer learning enables to re-use knowledge learned on a source task t...

12 Thomas Mensink, et al. ∙

research

∙ 02/17/2021

ShaRF: Shape-conditioned Radiance Fields from a Single View

We present a method for estimating neural scenes representations of obje...

0 Konstantinos Rematas, et al. ∙

research

∙ 02/09/2021

Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval

Existing image retrieval systems use text queries to provide a natural a...

0 Soravit Changpinyo, et al. ∙

research

∙ 12/21/2020

From Points to Multi-Object 3D Reconstruction

We propose a method to detect and reconstruct multiple 3D objects from a...

37 Francis Engelmann, et al. ∙

research

∙ 12/12/2020

Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces

This paper presents an uncalibrated deep neural network framework for th...

5 Berk Kaya, et al. ∙

research

∙ 12/08/2020

Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos

We address the task of aligning CAD models to a video sequence of a comp...

13 Kevis-Kokitsi Maninis, et al. ∙

research

∙ 12/01/2020

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Objects moving at high speed appear significantly blurred when captured ...

5 Denys Rozumnyi, et al. ∙

research

∙ 07/16/2020

Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity

We propose a new approach to interactive full-image semantic segmentatio...

0 Mykhaylo Andriluka, et al. ∙

research

∙ 04/27/2020

CoReNet: Coherent 3D scene reconstruction from a single RGB image

Advances in deep learning techniques have allowed recent work to reconst...

0 Stefan Popov, et al. ∙

research

∙ 04/08/2020

Training Neural Networks to Produce Compatible Features

This paper makes a first step towards compatible and hence reusable netw...

0 Michael Gygli, et al. ∙

research

∙ 12/15/2019

C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

Flow-based generative models have highly desirable properties like exact...

29 Albert Pumarola, et al. ∙

research

∙ 12/10/2019

Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool

We present a neural rendering framework that maps a voxelized scene into...

15 Konstantinos Rematas, et al. ∙

research

∙ 12/06/2019

Connecting Vision and Language with Localized Narratives

We propose Localized Narratives, an efficient way to collect image capti...

16 Jordi Pont-Tuset, et al. ∙

research

∙ 12/01/2019

Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images

Weakly-supervised object detection attempts to limit the amount of super...

23 Zhaohui Yang, et al. ∙

research

∙ 11/28/2019

Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections

In interactive object segmentation a user collaborates with a computer v...

1 Theodora Kontogianni, et al. ∙

research

∙ 06/17/2019

Panoptic Image Annotation with a Collaborative Assistant

This paper aims to reduce the time to annotate images for the panoptic s...

1 Jasper R. R. Uijlings, et al. ∙

research

∙ 06/04/2019

Natural Vocabulary Emerges from Free-Form Annotations

We propose an approach for annotating object classes using free-form tex...

18 Jordi Pont-Tuset, et al. ∙

research

∙ 05/25/2019

Efficient Object Annotation via Speaking and Pointing

Deep neural networks deliver state-of-the-art visual recognition, but th...

0 Michael Gygli, et al. ∙

research

∙ 03/26/2019

Large-scale interactive object segmentation with human annotators

Manually annotating object segmentation masks is very time consuming. In...

20 Rodrigo Benenson, et al. ∙

research

∙ 01/19/2019

Learning single-image 3D reconstruction by generative modelling of shape, pose and shading

We present a unified framework tackling two problems: class-specific 3D ...

0 Paul Henderson, et al. ∙

research

∙ 12/05/2018

Interactive Full Image Segmentation

We address the task of interactive full image annotation, where the goal...

10 Eirikur Agustsson, et al. ∙

research

∙ 11/23/2018

Fast Object Class Labelling via Speech

Object class labelling is the task of annotating images with labels on t...

2 Michael Gygli, et al. ∙

research

∙ 11/02/2018

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

We present Open Images V4, a dataset of 9.2M images with unified annotat...

4 Alina Kuznetsova, et al. ∙

research

∙ 07/24/2018

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision

We present a unified framework tackling two problems: class-specific 3D ...

2 Paul Henderson, et al. ∙

research

∙ 07/05/2018

Detecting Visual Relationships Using Box Attention

In this paper we propose a new model for detecting visual relationships....

0 Alexander Kolesnikov, et al. ∙

research

∙ 06/20/2018

Fluid Annotation: a human-machine collaboration interface for full image annotation

We introduce Fluid Annotation, an intuitive human-machine collaboration ...

2 Mykhaylo Andriluka, et al. ∙

research

∙ 12/21/2017

Learning Intelligent Dialogs for Bounding Box Annotation

We introduce Intelligent Annotation Dialogs for bounding box annotation....

0 Ksenia Konyushkova, et al. ∙

research

∙ 11/29/2017

Automatic Generation of Constrained Furniture Layouts

Efficient authoring of vast virtual environments hinges on algorithms th...

0 Paul Henderson, et al. ∙

research

∙ 11/29/2017

A Generative Model of 3D Object Layouts in Apartments

Understanding indoor scenes is an important task in computer vision. Thi...

0 Paul Henderson, et al. ∙

research

∙ 08/09/2017

Extreme clicking for efficient object annotation

Manually annotating object bounding boxes is central to building compute...

0 Dim P. Papadopoulos, et al. ∙

research

∙ 07/18/2017

The Devil is in the Decoder

Many machine vision applications require predictions for every pixel of ...

0 Zbigniew Wojna, et al. ∙

research

∙ 05/23/2017

How hard can it be? Estimating the difficulty of visual search in an image

We address the problem of estimating image difficulty defined as the hum...

0 Radu Tudor Ionescu, et al. ∙

research

∙ 05/04/2017

Action Tubelet Detector for Spatio-Temporal Action Localization

Current state-of-the-art approaches for spatio-temporal action localizat...

0 Vicky Kalogeiton, et al. ∙

Vittorio Ferrari

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