Jing Zhang | 张婧

I'm a postdoctoral researcher at AI4CE Lab@NYU led by Prof. Chen Feng and Anthrotopography Lab@NYU led by Prof. Radu Iovita.

I'm particularly interested in robotic perception, 3D computer vision, and explore the AI-powered infrastructure for data sharing and analysis in human evolution.

I did my PhD (2023) in Photogrammetry and Remote Sensing from Wuhan Universtiy, under the guidance of Prof. Bin Luo and Prof. Yajun Wang. Before this, I received my B.E. degree (2017) and M.S. degree (2019) from Wuhan University.

I enjoy dancing in my spare time and dancing helps me to be energetic longer.

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Recent News

[06/2024] I will be teaching a course on Robot Vision during the Spring 2025 semester.

[04/2024] Our paper is accepted and highlighted by CVPR 2024.

Selected Publications

FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction
Irving Fang*, Kairui Shi*, Xujin He*, Siqi Tan, Yifan Wang, Hanwen Zhao, Hung-Jui Huang, Wenzhen Yuan, Chen Feng, Jing Zhang
ICRA, 2025(Under Review)
project page / arXiv / github

Helping robots fuse vision, touch, and common sense via 3DGS using sparse-view data.

LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
Jing Zhang*, Irving Fang*, Hao Wu, Akshat Kaushik, Alice Rodriguez, Hanwen Zhao, Juexiao Zhang, Zhuo Zheng, Radu Iovita, Chen Feng
CVPR, 2024   (Highlight)
project page / arXiv / github

Could Foundation Models uncover the hidden story of ancient tools?

Creating the first open-source and largest Lithic Use-Wear Analysis (LUWA) dataset and challenge Large Vision Model and Large Language and Vision Model with it.

Single-Exposure Optical Measurement of Highly Reflective Surfaces via Deep Sinusoidal Prior for Complex Equipment Production
Jing Zhang, Bin Luo, Fuqian Li, Xingman Niu, Qican Zhang, Yajun Wang
IEEE Transactions on Industrial Informatics, 2022

Could damaged phase be recovered without training samples for HDR 3D reconstruction?

Designing deep sinusoidal prior (DSP) for damaged phase recovery.

Superfast and Large-Depth-Range Sinusoidal Fringe Generation for Multi-Dimensional Information Sensing
Sijie Zhu*, Zhoujie Wu*, Jing Zhang, Qican Zhang, Yajun Wang
Photonics Research, 2022
video

Building multifocal projection system for superfast and large-depth range 3D measurement.

Deep-Learning-based Adaptive Camera Calibration for Various Defocusing Degrees
Jing Zhang, Bin Luo, Zhuolong Xiang, Qican Zhang, Yajun Wang, Xin Su, Jun Liu, Lu Li, Wei Wang
Optics Letters, 2021   (Highlighted as an Editor’s Pick)

Improving camera calibration via target enhancement for high-fidelity 3D reconstruction.

clean-usnob A Convenient 3D Reconstruction Model based on Parallel-Axis Structured Light System
Jing Zhang, Bin Luo, Xin Su, Lu Li, Beiwen Li, Song Zhang, Yajun Wang
Optics and Lasers in Engineering, 2021

Building a convenient parallel-axis structured light system to avoid shadow and occlusion.

Depth Range Enhancement of Binary Defocusing Technique based on Multi-Frequency Phase Merging
Jing Zhang, Bin Luo, Xin Su, Yuwei Wang, Xiangcheng Chen, Yajun Wang
Optics Express, 2019

Proposing multi-frequency phase merging for depth range enhancement.

High Dynamic Range 3D Measurement based on Spectral Modulation and Hyperspectral Imaging
Yajun Wang, Jing Zhang, Bin Luo
Optics Express, 2018

Building a spetral modulation system for HDR 3D measurement.

Academic Service

Reviewer Scientific Reports
IEEE Robotics and Automation Letters (RA-L)
PLOS
Optics and Lasers in Engineering
Optics Letters
Optics Express
ICRA, 2025
Advisor C.A.A.B. - CMML, Anthrotopography, AI4CE, and Bromage Labs, NYU Applied Research In Science and Engineering (ARISE).
NYU Self Drive Team, NYU Multidisciplinary Undergraduate Vertically Integrated Project (VIP).

Source code from Jon Barron's website.