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05/11/2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Monocular 3D human pose and shape estimation is an ill-posed problem sin...
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04/28/2023
SFD2: Semantic-guided Feature Detection and Description
Visual localization is a fundamental task for various applications inclu...
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04/28/2023
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling
Previous methods solve feature matching and pose estimation using a two-...
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10/21/2022
FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet
In this paper we present a high fidelity and articulated 3D human foot m...
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10/14/2022
Model-Based Imitation Learning for Urban Driving
An accurate model of the environment and the dynamic agents acting in it...
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10/10/2022
A CNN Based Approach for the Point-Light Photometric Stereo Problem
Reconstructing the 3D shape of an object using several images under diff...
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10/07/2022
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
Single image surface normal estimation and depth estimation are closely ...
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10/05/2022
DigiFace-1M: 1 Million Digital Face Images for Face Recognition
State-of-the-art face recognition models show impressive accuracy, achie...
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10/03/2022
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image
Estimating 3D shapes and poses of static objects from a single image has...
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09/29/2022
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
In this paper we present a world model, which learns causal features usi...
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12/15/2021
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Multi-view depth estimation methods typically require the computation of...
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12/10/2021
Discrete neural representations for explainable anomaly detection
The aim of this work is to detect and automatically generate high-level ...
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11/30/2021
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model
This paper addresses the problem of 3D human body shape and pose estimat...
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11/10/2021
Leveraging Geometry for Shape Estimation from a Single RGB Image
Predicting 3D shapes and poses of static objects from a single RGB image...
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10/03/2021
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
This paper addresses the problem of 3D human body shape and pose estimat...
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09/20/2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Surface normal estimation from a single image is an important task in 3D...
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06/16/2021
X-MAN: Explaining multiple sources of anomalies in video
Our objective is to detect anomalies in video while also automatically e...
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04/27/2021
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
Three-dimensional reconstruction of objects from shading information is ...
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04/21/2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Driving requires interacting with road agents and predicting their futur...
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03/19/2021
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild
This paper addresses the problem of 3D human body shape and pose estimat...
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09/21/2020
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
This paper addresses the problem of monocular 3D human shape and pose es...
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09/12/2020
A CNN Based Approach for the Near-Field Photometric Stereo Problem
Reconstructing the 3D shape of an object using several images under diff...
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09/11/2020
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
We present NavACL, a method of automatic curriculum learning tailored to...
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08/11/2020
PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks
Retrieving accurate 3D reconstructions of objects from the way they refl...
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07/21/2020
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
We introduce an automatic, end-to-end method for recovering the 3D pose ...
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03/30/2020
Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks
Autonomous vehicles commonly rely on highly detailed birds-eye-view maps...
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12/19/2019
Learning a Spatio-Temporal Embedding for Video Instance Segmentation
We present a novel embedding approach for video instance segmentation. O...
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09/23/2019
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression
In this work we present a novel approach to joint semantic localisation ...
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07/30/2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres
We address semantic segmentation on omnidirectional images, to leverage ...
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02/12/2019
Fast-SCNN: Fast Semantic Segmentation Network
The encoder-decoder framework is state-of-the-art for offline semantic i...
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11/20/2018
Orthographic Feature Transform for Monocular 3D Object Detection
3D object detection from monocular images has proven to be an enormously...
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11/14/2018
Creatures great and SMAL: Recovering the shape and motion of animals from video
We present a system to recover the 3D shape and motion of a wide variety...
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11/05/2018
A Differential Volumetric Approach to Multi-View Photometric Stereo
Highly accurate 3D volumetric reconstruction is still an open research t...
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05/12/2018
Convolutional CRFs for Semantic Segmentation
For the challenging semantic image segmentation task the most efficient ...
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05/19/2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Numerous deep learning applications benefit from multi-task learning wit...
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04/02/2017
Geometric Loss Functions for Camera Pose Regression with Deep Learning
Deep learning has shown to be effective for robust and real-time monocul...
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12/22/2016
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
While most approaches to semantic reasoning have focused on improving pe...
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05/20/2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
We propose a new method for creating computationally efficient and compa...
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04/22/2016
Refining Architectures of Deep Convolutional Neural Networks
Deep Convolutional Neural Networks (CNNs) have recently evinced immense ...
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11/20/2015
Training CNNs with Low-Rank Filters for Efficient Image Classification
We propose a new method for creating computationally efficient convoluti...
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11/10/2015
TemplateNet for Depth-Based Object Instance Recognition
We present a novel deep architecture termed templateNet for depth based ...
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11/09/2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
We present a deep learning framework for probabilistic pixel-wise semant...
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11/05/2015
Symmetry-invariant optimization in deep networks
Recent works have highlighted scale invariance or symmetry that is prese...
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11/03/2015
Understanding symmetries in deep networks
Recent works have highlighted scale invariance or symmetry present in th...
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11/02/2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
We present a novel and practical deep fully convolutional neural network...
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05/27/2015
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
We present a robust and real-time monocular six degree of freedom reloca...
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05/27/2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
We propose a novel deep architecture, SegNet, for semantic pixel wise im...
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05/01/2015
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes
We are interested in automatic scene understanding from geometric cues. ...
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04/19/2015
