Jianeng Wang — accepted AI-conference papers

2025

Exosense: A Vision-Based Scene Understanding System for Exoskeletons

Jianeng Wang, Matías Mattamala, Christina Kassab, Guillaume Burger, Fabio Elnecave Xavier, Lintong Zhang +2

RA-L 2025

Self-balancing exoskeletons are a key enabling technology for individuals with mobility impairments. While the current challenges focus on human-compliant hardware and control, unlocking their use for daily activities requires a scene perception system. In this work, we present <italic xmlns:mml="ht

Cited by 4 Source ↗Scholar ↗

2025

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset

Zirui Wang, Wenjing Bian, Xinghui Li, Yifu Tao, Jianeng Wang, Maurice Fallon +1

NeurIPS 2025poster

We introduce Oxford Day-and-Night, a large-scale, egocentric dataset for novel view synthesis (NVS) and visual relocalisation under challenging lighting conditions. Existing datasets often lack crucial combinations of features such as ground-truth 3D geometry, wide-ranging lighting variation, and fu…

Cited by 0 Source ↗Scholar ↗

2023

Event-Based Stereo Visual Odometry With Native Temporal Resolution via Continuous-Time Gaussian Process Regression

Jianeng Wang, Jonathan D. Gammell

RA-L 2023

Event-based cameras asynchronously capture individual visual changes in a scene. This makes them more robust than traditional frame-based cameras to highly dynamic motions and poor illumination. It also means that every measurement in a scene can occur at a unique time. Handling these different meas

Cited by 15 Source ↗Scholar ↗