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10/19/2022
MC-hands-1M: A glove-wearing hand dataset for pose estimation
Nowadays, the need for large amounts of carefully and complexly annotate...
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07/18/2022
Multi-manifold Attention for Vision Transformers
Vision Transformer are very popular nowadays due to their state-of-the-a...
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07/11/2022
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
In this work we introduce a biologically inspired long-range skip connec...
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06/22/2022
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues
Spherical cameras capture scenes in a holistic manner and have been used...
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12/01/2021
A benchmark with decomposed distribution shifts for 360 monocular depth estimation
In this work we contribute a distribution shift benchmark for a computer...
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10/19/2021
On Coordinate Decoding for Keypoint Estimation Tasks
A series of 2D (and 3D) keypoint estimation tasks are built upon heatmap...
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10/14/2021
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
In this paper, a marker-based, single-person optical motion capture meth...
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10/14/2021
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a ...
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09/06/2021
Pano3D: A Holistic Benchmark and a Solid Baseline for 360^o Depth Estimation
Pano3D is a new benchmark for depth estimation from spherical panoramas....
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02/09/2021
Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization
Immersive 3D media is an emerging type of media that captures, encodes a...
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02/07/2021
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
It has been shown that global scene understanding tasks like layout esti...
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10/19/2020
SHREC 2020 track: 6D Object Pose Estimation
6D pose estimation is crucial for augmented reality, virtual reality, ro...
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09/10/2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Recently there has been an explosion in the use of Deep Learning (DL) me...
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08/20/2020
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
In this work we consider UAVs as cooperative agents supporting human use...
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07/24/2020
A Comprehensive Study on Sign Language Recognition Methods
In this paper, a comparative experimental assessment of computer vision-...
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07/24/2020
Multi-view adaptive graph convolutions for graph classification
In this paper, a novel multi-view methodology for graph-based neural net...
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05/16/2020
Deep Lighting Environment Map Estimation from Spherical Panoramas
Estimating a scene's lighting is a very important task when compositing ...
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04/18/2020
A Deep Learning Approach to Object Affordance Segmentation
Learning to understand and infer object functionalities is an important ...
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03/23/2020
Deep Soft Procrustes for Markerless Volumetric Sensor Alignment
With the advent of consumer grade depth sensors, low-cost volumetric cap...
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02/13/2020
DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins
The knowledge of potentially druggable binding sites on proteins is an i...
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11/14/2019
An Improved Tobit Kalman Filter with Adaptive Censoring Limits
This paper deals with the Tobit Kalman filtering (TKF) process when the ...
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09/24/2019
Restyling Data: Application to Unsupervised Domain Adaptation
Machine learning is driven by data, yet while their availability is cons...
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09/17/2019
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Learning based approaches for depth perception are limited by the availa...
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09/16/2019
360^o Surface Regression with a Hyper-Sphere Loss
Omnidirectional vision is becoming increasingly relevant as more efficie...
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09/03/2019
A Low-Cost, Flexible and Portable Volumetric Capturing System
Multi-view capture systems are complex systems to engineer. They require...
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09/03/2019
Self-Supervised Deep Depth Denoising
Depth perception is considered an invaluable source of information for v...
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12/03/2018
Examining Deep Learning Architectures for Crime Classification and Prediction
In this paper, a detailed study on crime classification and prediction u...
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07/25/2018
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
Recent work on depth estimation up to now has only focused on projective...
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12/08/2017
An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing
The latest developments in 3D capturing, processing, and rendering provi...
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08/23/2017
Non-linear Convolution Filters for CNN-based Learning
During the last years, Convolutional Neural Networks (CNNs) have achieve...
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04/10/2017