Hongbin Zha
Computer Vision and Pattern Recognition · 2024
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Aerospace Engineering — 19 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Hongbin Zha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hongbin Zha's perspective
Ordered by how strongly the researchers Hongbin Zha trusts endorse each paper. Same corpus, a different order for every researcher.
- A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation (Proceedings 2007 IEEE International Conference on Robotics and Automation)
- The EuRoC micro aerial vehicle datasets (Int. J. Robotics Res.)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- A benchmark for the evaluation of RGB-D SLAM systems
- Keyframe-based visual–inertial odometry using nonlinear optimization
- Robust visual inertial odometry using a direct EKF-based approach
- Unsupervised Learning of Depth and Ego-Motion from Video
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning (2024) — 26 citations