Lu FANG 方璐

Ph.D, Associate Professor
Smart Imaging Laboratory
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University

Research Interests: Computational Photography and 3D Vision
E-mail: fanglu at sz.tsinghua.edu.cn

 

I am currently an Associate Professor in Tsinghua UniversityTsinghua-Berkeley Shenzhen Institute (TBSI). I received my Ph.D from HKUST in 2011, and B.E. from USTC in 2007. I used to spend 6 months in Prof. ggelos K. Katsaggelos's lab in Northwestern University during the best season of Evanston in 2010, and I spent 8 months in Microsoft Research Asia (Beijing) with the host of Prof. Feng Wu in 2013. Later, I visited Prof. Eckehard Steinbach's group in Technical University of Munich (TUM) in 2014, supported by “Humboldt Research Fellowship for Experienced Researchers”.

Our team has always been interested in looking for practical problems and solutions. Along with understanding the real world using fancy computer vision techniques ("post-processing"), we believe that the revolution in imaging/sensing ("pre-processing") plays equally important role. Aiming for comprehensive, high-resolution, and realistic imaging/sensing of large-scale dynamic scenes, our work relates to Gigapixel Videography, Multi-Camera Array, Multiview 3D Reconstruction, 4D Lightfield Reconstruction etc., towards both the online hardware system and real-time algorithmic solutions.

News

Selected Research Projects (Publication List)

Computational Photography


Live Demo of UnstructuredCam

3D Vision


Live Demo of Flashfusion

 

Gigapixel Video: A Cross Resolution Image Matching and Warping Approach
ICCP 2017

CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping
ECCV 2018

UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction using Commercial RGBD Cameras
TPAMI 2019

FlashFusion: Real-time Globally Consistent Dense 3D Reconstruction using CPU Computing
RSS 2018 Oral

Light Field Reconstruction Using Deep Convolutional Network on EPI and Extended Applications
TPAMI 2018

Adaptive Multispectral Demosaicking Based on Frequency Domain Analysis of Spectral Correlation
TIP 2017

Real-time Global Registration for Globally Consistent RGBD SLAM
TRO 2018

SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
ICCV 2017

Computation and Memory Efficient Image Segmentation
TCSVT 2016

Robust Blur Kernel Estimation for License Plate Images from Fast Moving Vehicles
TIP 2016

MILD: Multi-Index hashing for appearance based Loop closure Detection
ICME 2017
Best Student Paper Award

Human 3D Reconstruction and Motion Capture Using a Single Flying Camera
ACM MM 2018 Oral

Professors in Smart Imaging Lab @TBSI,Tsinghua University

Qionghai Dai 戴琼海
Professor, Dept. of Automation
Tsinghua University, 中国工程院院士
Research Interests: Brain Science and AI
Homepage: media.au.tsinghua.edu.cn

Prof. Yi Ma 马毅 IEEE Fellow
Professor, Dept. of ECE, UC Berkeley
Research Interests: Computer vision,
Mathematics & Statistics, Decision & Control
Homepage: people.eecs.berkeley.edu/~yima

Prof. David J. Brady 白瑞迪 IEEE & SPIE & OSA Fellow
Professor, Dept. of ECE, Duke University
Visiting Professor, TBSI
Research Interests: Optical Imaging, Photonics
Homepage: ece.duke.edu/faculty/david-brady