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08/22/2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Generating video stories from text prompts is a complex task. In additio...
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06/15/2023
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
We propose Encyclopedic-VQA, a large scale visual question answering (VQ...
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06/15/2023
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object r...
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06/15/2023
Estimating Generic 3D Room Structures from 2D Annotations
Indoor rooms are among the most common use cases in 3D scene understandi...
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06/15/2023
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
We propose a method for annotating videos of complex multi-object scenes...
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04/13/2023
Tracking by 3D Model Estimation of Unknown Objects in Videos
Most model-free visual object tracking methods formulate the tracking ta...
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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...
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02/22/2023
Connecting Vision and Language with Video Localized Narratives
We propose Video Localized Narratives, a new form of multimodal video an...
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10/25/2022
From colouring-in to pointillism: revisiting semantic segmentation supervision
The prevailing paradigm for producing semantic segmentation training dat...
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10/14/2022
Multi-View Photometric Stereo Revisited
Multi-view photometric stereo (MVPS) is a preferred method for detailed ...
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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...
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04/04/2022
How stable are Transferability Metrics evaluations?
Transferability metrics is a maturing field with increasing interest, wh...
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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...
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02/26/2022
Uncertainty-Aware Deep Multi-View Photometric Stereo
This paper presents a simple and effective solution to the problem of mu...
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11/29/2021
Urban Radiance Fields
The goal of this work is to perform 3D reconstruction and novel view syn...
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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 ...
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11/25/2021
Transferability Metrics for Selecting Source Model Ensembles
We address the problem of ensemble selection in transfer learning: Given...
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11/24/2021
Transferability Estimation using Bhattacharyya Class Separability
Transfer learning has become a popular method for leveraging pre-trained...
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10/11/2021
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
We present an automated machine learning approach for uncalibrated photo...
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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...
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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...
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05/05/2021
A Step Toward More Inclusive People Annotations for Fairness
The Open Images Dataset contains approximately 9 million images and is a...
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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...
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02/17/2021
ShaRF: Shape-conditioned Radiance Fields from a Single View
We present a method for estimating neural scenes representations of obje...
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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...
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12/21/2020
From Points to Multi-Object 3D Reconstruction
We propose a method to detect and reconstruct multiple 3D objects from a...
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12/12/2020
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces
This paper presents an uncalibrated deep neural network framework for th...
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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...
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12/01/2020
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Objects moving at high speed appear significantly blurred when captured ...
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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...
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04/27/2020
CoReNet: Coherent 3D scene reconstruction from a single RGB image
Advances in deep learning techniques have allowed recent work to reconst...
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04/08/2020
Training Neural Networks to Produce Compatible Features
This paper makes a first step towards compatible and hence reusable netw...
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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...
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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...
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12/06/2019
Connecting Vision and Language with Localized Narratives
We propose Localized Narratives, an efficient way to collect image capti...
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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...
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11/28/2019
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
In interactive object segmentation a user collaborates with a computer v...
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06/17/2019
Panoptic Image Annotation with a Collaborative Assistant
This paper aims to reduce the time to annotate images for the panoptic s...
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06/04/2019
Natural Vocabulary Emerges from Free-Form Annotations
We propose an approach for annotating object classes using free-form tex...
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05/25/2019
Efficient Object Annotation via Speaking and Pointing
Deep neural networks deliver state-of-the-art visual recognition, but th...
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03/26/2019
Large-scale interactive object segmentation with human annotators
Manually annotating object segmentation masks is very time consuming. In...
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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 ...
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12/05/2018
Interactive Full Image Segmentation
We address the task of interactive full image annotation, where the goal...
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11/23/2018
Fast Object Class Labelling via Speech
Object class labelling is the task of annotating images with labels on t...
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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...
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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 ...
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07/05/2018
Detecting Visual Relationships Using Box Attention
In this paper we propose a new model for detecting visual relationships....
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06/20/2018
Fluid Annotation: a human-machine collaboration interface for full image annotation
We introduce Fluid Annotation, an intuitive human-machine collaboration ...
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12/21/2017
Learning Intelligent Dialogs for Bounding Box Annotation
We introduce Intelligent Annotation Dialogs for bounding box annotation....
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11/29/2017