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07/28/2023
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Robotic vision for human-robot interaction and collaboration is a critic...
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06/13/2022
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data
We present a method for the accurate 3D reconstruction of partly-symmetr...
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03/31/2022
A 23 MW data centre is all you need
The field of machine learning has achieved striking progress in recent y...
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03/26/2022
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
We address the problem of ground-to-satellite image geo-localization, th...
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02/24/2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies
Deep declarative networks and other recent related works have shown how ...
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12/03/2021
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
Recent developments in transformer models for visual data have led to si...
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06/09/2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
In video transformers, the time dimension is often treated in the same w...
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04/11/2021
Zero-Shot Learning on 3D Point Cloud Objects and Beyond
Zero-shot learning, the task of learning to recognize new classes not se...
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04/06/2021
Learning to Estimate Hidden Motions with Global Motion Aggregation
Occlusions pose a significant challenge to optical flow algorithms that ...
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03/02/2021
Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery
This paper presents a new approach for synthesizing a novel street-view ...
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12/11/2020
Spatio-attentive Graphs for Human-Object Interaction Detection
We address the problem of detecting human–object interactions in images ...
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07/29/2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
Blind Perspective-n-Point (PnP) is the problem of estimating the positio...
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07/01/2020
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
The availability of a large labeled dataset is a key requirement for app...
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05/08/2020
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Cross-view geo-localization is the problem of estimating the position an...
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04/28/2020
Inferring Temporal Compositions of Actions Using Probabilistic Automata
This paper presents a framework to recognize temporal compositions of at...
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03/15/2020
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem
Conventional absolute camera pose via a Perspective-n-Point (PnP) solver...
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02/26/2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
We address the problem of joint optical flow and camera motion estimatio...
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12/16/2019
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Zero-shot learning, the task of learning to recognize new classes not se...
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09/11/2019
Deep Declarative Networks: A New Hope
We introduce a new class of end-to-end learnable models wherein data pro...
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07/15/2019
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
The development of advanced 3D sensors has enabled many objects to be ca...
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12/04/2018
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation
Determining the position and orientation of a calibrated camera from a s...
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09/27/2017
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
Estimating the 6-DoF pose of a camera from a single image relative to a ...
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03/01/2016
GOGMA: Globally-Optimal Gaussian Mixture Alignment
Gaussian mixture alignment is a family of approaches that are frequently...
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11/13/2015