Hongjia Zhai

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Aerospace Engineering — 20 citations into it

Whom Hongjia Zhai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard A. Newcombe
2. Andrew J. Davison
3. Jürgen Sturm

Papers from Hongjia Zhai's perspective

Ordered by how strongly the researchers Hongjia Zhai trusts endorse each paper. Same corpus, a different order for every researcher.

1. KinectFusion: Real-time dense surface mapping and tracking
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. A volumetric method for building complex models from range images
6. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
7. DTAM: Dense tracking and mapping in real-time
8. A benchmark for the evaluation of RGB-D SLAM systems
9. Real-time 3D reconstruction at scale using voxel hashing
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation (2022) — 295 citations