Search Results for author: Binbin Xu

Found 18 papers, 7 papers with code

FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object

no code implementations8 Feb 2024 Hanzhi Chen, Binbin Xu, Stefan Leutenegger

We present FuncGrasp, a framework that can infer dense yet reliable grasp configurations for unseen objects using one annotated object and single-view RGB-D observation via categorical priors.

Object

NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields

no code implementations20 Dec 2023 Jens Naumann, Binbin Xu, Stefan Leutenegger, Xingxing Zuo

We introduce a novel monocular visual odometry (VO) system, NeRF-VO, that integrates learning-based sparse visual odometry for low-latency camera tracking and a neural radiance scene representation for sophisticated dense reconstruction and novel view synthesis.

Depth Estimation Depth Prediction +3

Accurate and Interactive Visual-Inertial Sensor Calibration with Next-Best-View and Next-Best-Trajectory Suggestion

1 code implementation25 Sep 2023 Christopher L. Choi, Binbin Xu, Stefan Leutenegger

Visual-Inertial (VI) sensors are popular in robotics, self-driving vehicles, and augmented and virtual reality applications.

Boosting GUI Prototyping with Diffusion Models

no code implementations9 Jun 2023 Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray

GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing stakeholder engagement.

Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion

no code implementations24 May 2023 Xingxing Zuo, Nan Yang, Nathaniel Merrill, Binbin Xu, Stefan Leutenegger

Incrementally recovering 3D dense structures from monocular videos is of paramount importance since it enables various robotics and AR applications.

An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain

1 code implementation13 Mar 2023 Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe

We present the first automated pipeline to create an atlas of in situ hybridization gene expression in the adult marmoset brain in the same stereotaxic space.

Segmentation

Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG

no code implementations26 Sep 2022 Zaineb Ajra, Binbin Xu, Gérard Dray, Jacky Montmain, Stephane Perrey

We compared this models to three other neural network models with different depths applied to a mental arithmetic task using eye-closed state adapted for patients suffering from motor disorders and a decline in visual functions.

Brain Computer Interface EEG +2

Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes

no code implementations9 Aug 2022 Binbin Xu, Andrew J. Davison, Stefan Leutenegger

In this paper, we propose a novel object-level mapping system that can simultaneously segment, track, and reconstruct objects in dynamic scenes.

Instance Segmentation Object +2

Visual-Inertial Multi-Instance Dynamic SLAM with Object-level Relocalisation

1 code implementation8 Aug 2022 Yifei Ren, Binbin Xu, Christopher L. Choi, Stefan Leutenegger

In this paper, we present a tightly-coupled visual-inertial object-level multi-instance dynamic SLAM system.

3D Reconstruction Object +1

Identity-Disentangled Neural Deformation Model for Dynamic Meshes

no code implementations30 Sep 2021 Binbin Xu, Lingni Ma, Yuting Ye, Tanner Schmidt, Christopher D. Twigg, Steven Lovegrove

When applied to dynamically deforming shapes such as the human hands, however, they would need to preserve temporal coherence of the deformation as well as the intrinsic identity of the subject.

Disentanglement

Improving Patent Mining and Relevance Classification using Transformers

no code implementations9 May 2021 Théo Ding, Walter Vermeiren, Sylvie Ranwez, Binbin Xu

Patent analysis and mining are time-consuming and costly processes for companies, but nevertheless essential if they are willing to remain competitive.

Classification General Classification

A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect

no code implementations7 May 2021 Binbin Xu, Chongyang Tao, Zidu Feng, Youssef Raqui, Sylvie Ranwez

This study presents a large scale benchmarking on cloud based Speech-To-Text systems: {Google Cloud Speech-To-Text}, {Microsoft Azure Cognitive Services}, {Amazon Transcribe}, {IBM Watson Speech to Text}.

Benchmarking

Deep Probabilistic Feature-metric Tracking

1 code implementation31 Aug 2020 Binbin Xu, Andrew J. Davison, Stefan Leutenegger

Dense image alignment from RGB-D images remains a critical issue for real-world applications, especially under challenging lighting conditions and in a wide baseline setting.

Object Tracking

Pre-training A Neural Language Model Improves The Sample Efficiency of an Emergency Room Classification Model

no code implementations30 Aug 2019 Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard, Eric Tellier, Marta Avalos, Emmanuel Lagarde

To build a French national electronic injury surveillance system based on emergency room visits, we aim to develop a coding system to classify their causes from clinical notes in free-text.

Language Modelling

MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM

1 code implementation19 Dec 2018 Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew Davison, Stefan Leutenegger

It can provide robust camera tracking in dynamic environments and at the same time, continuously estimate geometric, semantic, and motion properties for arbitrary objects in the scene.

Instance Segmentation Object +3

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