Welcome to My Homepage


News & Activities:

• Multiple (>10) industry-lab based Research Engineer/Applied Scientist positions available in the area of AR/VR, GPU programming, and computer vision and computer graphics.  You must be a proficient C/C++ programmer and have a MS or PhD degree.

• Congras to Dongxu et al, winning the Outstanding Demo Paper Award at ACL 2022  (one of the top NLP language conferences).

• Congras to the ANU CVML group for having 10+ papers accepted by the CVPR 2022. 

• Congras to the team for publishing 20+ papers at CVPR 2021 and ICCV 2021.

• Congras to Cristian Rodriguze, and Liu Liu for submitting their PhD theses.

• I am serving as an Area Chair for ICCV 2021, Montreal, Canada, 2021. 

• One externally-funded Research Fellow position in 3D computer vision is available.   Application due date: 12/April 2021.

• I am serving IEEE CVPR 2021 Area Chair, and ICCV 2021 Area Chair, and ACCV 2022 Program Co-Chair.

• Three PhD students graduated in 2020.   Congratulations to Cristian Roderiguze, Yiran Zhong, and Hong-guang Zhang.

• Start a new major research project on vision based 3D plant phenomics for human vaccine production with Medicago Ltd.

• Dongxu  et al’s CVPR 2020 paper was selected among the finalists for the CVPR 2020 Best Paper Award

• 3 NeurIPS  papers accepted by NeurlPS 2020.

• The ANU Master of Machine Learning and Computer Vision (MLCV)  program admission round is new open (2020 S2 and 2021 S1). 

• The ANU ACRV group have over 12 papers accepted by CVPR 2020.

• Congratulations to PhD student Dongxu and Cristian for winning the Best Paper Award honourable mention at the WACV 2020.

• Welcome PhD student Yiran Zhong come back to ANU, after a 6-month intern at NVIDIA Research (Seattle). 

• ANU December 2019 PhD graduation ceremony.   Congratulation for Suryansh Kumar, and  Lachlan Horne graduated, finally!    Lachlan has been working with Microsoft (at Seattle)—the Hololens-2 team.  Suryansh is joining ETH Zurich and Google Zurich.

• One paper accepted by AAAI 2020.

• One paper accepted by WACV 2020, a new sign language recognition dataset in under preparation.

• An industry-funded new level-B Research Fellow position on 3D computer vision commencing from May 2020.  (Per Australia academic ranking system, Level-B is about equivalent to AP (Assistant Professor) at an USA university.  Reader is Professor in America. C.f.: https://en.wikipedia.org/wiki/List_of_academic_ranks). 

• I am the ICCV 2019 Presentation Co-Chair. 

• I am an Area Chair for ECCV 2020. 

• I will be serving as CVPR 2020 Area Chair.

• I am the ICCV 2019 Presentation Co-Chair. 

• To serve as ACCV 2022 Program Co-Chair.

• To serve as ACCV 2022 Program Co-Chair.

• Papers accepted by NeurlPS 2019.

• serve the ANU School of EEME as Associate School Director (Res.).

• Papers accepted by ICCV 2019

• Papers accepted by CVPR 2019.

• One paper accepted by ICML 2019.

• Winning NVIDIA Big Data Science GPU Awards

• Research to be funded by Global Alliance URP on Computer Vision for Autonomous Driving.

• Mr. Liu Liu is intern at Baidu RAL Robotic and Autonomous Driving Lab. 

• Mr. Cristian Rod. is planning to intern with Adobe Silicon Velley.

• Mr. Yiran Zhong is intern at NVIDIA Seattle Lab.

• Congratulation to our team (led by  PhD student Liu Liu, Liyuan Pan) for winning the 3rd place at the Google Landmark Challenge at CVPR 2018.  There were over 100 teams worldwide participated in the Challenge.  The novel technique that we developed can be used for robot (self-driving cars) navigation and vehicle localisation.

• Express-of-interest: one 12 month postdoctoral fellow position will be open at the ANU computer vision group, working on 3D computer vision for autonomous vehicle navigation.   Contact me if you are interested (expect to start: 09-2018 or ASAP).

•A number of ACRV (ARC funded) Postdoctoral fellow positions available at the ANU node, in all areas of  computer vision, robotic vision,  machine learning. (The positions are already open on ANU website.  application due date: 30 August 2018)


•Invited talk at SSIST 2018, ShanghaiTech. 

• Winning the prestigious Marr Prize Honourable Mention at ICCV 2017.

• Congratulations to Yifu and Laurent for winning the Best Student Paper Award at ICVS 2017.

•Congratulations to Suryansh et, al. for winning the Best Algorithm Award at the NRSFM-Challenge  at CVPR 2017 !

•Kaihao Zhang is doing intern at China’s Tencent AI Research Lab in Shenzhen.

•Ami Drory has completed his PhD study in applied computer vision for biomechanics and sports science.

• I will be serving the ACCV-2018 as a co- Program Chair.  (Asian Conference on Computer Vision 2018).

• I serve an Area Chair for ICCV 2017, Venice, Italy.

• My PhD student Mr. Joey Zhou is visiting ETH, UZH (University of Zurich) until 2018,  studying event camera based visual SLAM, under the supervision of professor Davide Scaramuzza - Robotics and Perception Group.

• Find an old photo:;-)


• Dr. Laurent Kneip has joined Shanghai-Tech University as a faculty member.

•Dr. Dingfu Zhou has completed his postdoc period at the ANU and assumed a position at Baidu IDL, Beijing.

• Serve an Area Chair for ICCV 2015.

• Gao Zhu graduated with PhD degree and joins DJI in Shenzhen.

• Ajanthan graduated with a PhD degree in 2017 and now is a Postdoc with the Torr’s computer vision group at Oxford University.

• Deep Learning for Video based Face Identification paper accepted by CVPR 2017.

• Deep learning for image matching paper has been accepted to ECCV 2016.

• Ji Pan graduated and joins the computer vision group of University of Adelaide.

•Our ANU vision group have 12 papers successfully accepted by the CVPR 2016 conference —a premier conference in international computer vision research community.

• I serve on the Editorial Board for IEEE T-PAMI.

• Jiaolong Yang is visiting Harvard University as a visiting student.

• Jiaolong Yang is doing an intern at Microsoft Research Asia in Beijing.

• Jointly with Dr Kim co-organise the ACRA 2015 conference, a major annual event of Australia Robotics and Automation Association. 

• Our monocular optical flow algorithm has obtained the top rank on the KITTI and MPI Sintel (clean) optical flow benchmark at the time of CVPR 2015 submission.   Optical flow is a key algorithm for 3D motion perception used in visual odometry for vehicle navigation and self-driving (autonomous driving).

• A new postdoc position is open until September 2015. The postdoc will work in the intersection of Computer Vision and Plant Sciences within the collaboration between ARC Centre of Excellence for Robotic Vision (ACRV, roboticvision.org), ARC Centre of Excellence for Plant Energy Biology (CPEB, plantenergy.uwa.edu.au), and the Australia Plant Phenomics Facility (plantphenomics.org.au).

• Welcome new Research Fellows joining the ACRV (Australia ARC Centre for Robotic Vision)- ANU node, Dr. Anoop Cherian (formerly with LEAR, INRIA, Grenoble,France), Dr. Basura Fernando (formerly with KU Leuven,Belgium). We are also looking forward to welcoming two more researchers to join the ANU CVR group, Dr. Ijaz Akhter (currently with MPI Tuebingen, Germany) and Dr. DingFu (currently with UTC Paris, France).

• serve as an Area Chair for ICCV 2015 in the area of 3D Computer Vision and Structure-From-Motion.

• serve as Area Chair for BMVC 2015, Area Chair for 3DV (3DPVT) 2015, and TPC member for AVSS 2015.

• A short-term postdoc position is available at the CVR group of ANU (partly funded by ARC). Details can be found here in this PDF file. Closing date: 1st May 2015.

• Congratulations to Dr Laurent Kneip who is awarded an ARC DECRA Early Career Grant 2015-2017. We have 3 recent DECRA Fellows with the ANU Computer Vision Group.

• Congratulations to Yuchao for winning the DSTO Best Paper Award at DICTA 2014.

• Pan J, Yiran Z, Mathieu S and Hongdong have won ICIP'14 Best Student Paper Award at the IEEE ICIP 2014 --the premier conference in IEEE Image Processing!

• Our Computer Vision group at ANU/NICTA have 12 papers accepted to ECCV 2014 Zurich.

 •  Congratulations to ANU/NICTA vision group. We have 12 papers accepted to CVPR’2014 — CVPR is one of the top conferences in computer vision.

 • serve IEEE CVPR-2015 Programme Committee as Area Chair (in 3D Computer Vision). The conference will be held in Boston 2015.

•Several new ACRV PhD Scholarships in computer vision, robotics, machine learning, are available.   Welcome top students with strong research interests to apply.

•Four (4) ACRV Research Fellow positions are available at the CVR group of ANU. Closing date: 7th July 2014.

• Five PhD Scholarships in robotics and computer vision (machine learning) are available for the 2015 intake. ANU application due date: 30th August 2014.

• Two FERL academic positions are available at the Research School of Engineering of ANU. Closing date: September 2014. (see ANU job site)

 • Jointly with QUT (led by professor Peter Corke, QUT), Monash, Adelaide, as well as our very strong international partners (@ Oxford, ETH, ICL, Georgia-Tech, INRIA, etc.),  we have succeeded in receiving major research funding ( $25 Millions AUD) from ARC for building a Research Centre of Excellence.

• Congratulation to Dr Yuchao Dai who wins an ARC DECRA - Early Career Award for 2014-2016.  

• I am an Area Chair for ECCV 2014 (3D vision), and an Area Chair for ICCV 2013 .  

• Welcome new Research Fellow Dr Laurent Kneip (PhD 2012, RSL, ETH Zurich) joining ANU computer vision and robotics group.  

• We won an ARC Discovery Grant for 2013-2015, jointly with Prof Hartley, Professor Phil Torr (Oxford), and Prof Fredrik Kahl (Lund).   We will develop novel efficient methods for large scale semantic labelling and annotation of images and videos. 

• I am organizing (as one of the program co-chairs) ICCV Workshop on CVAB, and ICCV Workshop on Big data in 3D Vision, Sydney 2013.  

• I was a member of BVA (Bionic Vision Australia), and an associate investigator for the ARC Australian Bionic Eyes Project in 2009-2010.  

• Ten (10) papers accepted by CVPR 2013 (3 orals) from authors of the ANU/NICTA Computer Vision group.  

• Congratulations to Sadeep Jayasumana, Richard Hartley et al for winning the Canon Best Paper Award at DICTA 2013 Hobart.

• Congratulations to Worapan et al for winning the IEEE ICPR Best Student Paper Award (biometric track) at ICPR 2010.

Visit ISRR Paris 6 University (UPMC). August-Sept, 2009.

 • Congratulations to Yuchao, Mingyi for winning the prestigious IEEE CVPR Best Paper Award at CVPR 2012 Rhode Island, Providence, for their work on Nonrigid (deformable shape) structure-from-motion contributing to 3D computer vision.

 • Currently teaching postgraduate/undergraduate ENGN4528/6528 Computer Vision, 2011, 2013, 2014, 2015 S1.

• Currently serving SRS convenor 2013, 2014.

• Teaching ENGN4627/6627 Intro to Robotics for 2010, 2011, 2012, and 2014.

  • Visit University of Southern California, LA and University Berkeley in 2010.

 • Attend ICCV 2009 in Kyoto, Japan.

• Attend CVPR 2008 in Anchorage, USA.

 • Attend ICCV 2007 in Rio. Brazil

  • Attend ECCV 2006 in Graz, Austria.

• Attend ICCV 2005 in Beijing, China.

 • Attend ECCV 2004 in Prague, Czech

·         ICCV 2003 (Beijingΰ Nice)






   Hongdong Li,  Professor

Computer Vision, Machine Learning,  and Robot Navigation

The Australian National University (ANU)
ACT 2600, Australia

Tel: +61 2 6125 7708

Email: firstname.lastname@anu.edu.au
Personal email:    Hongdong.li  at  gmail.com


I am a Professor in Computer Vision and Machine Learning @ANU.   My research interests include 3D computer vision, visual perception, 3D reconstruction and modelling, robot navigation and autonomous driving (self-driving cars), virtual and augmented reality (VR/AR), deep learning, and Artificial Intelligence in general.  

It is my honour to serve as a General Co-Chair for ACCV 2022 to be held in Macau, 2022.

https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSUjAswj993hS5jTXxYK4qj2x9LB3ahm_nTNmHMxoRuc29lk_H-DRpIXqK_MA&s   https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT2FDN8kFCW_OdrPl-3yn3Q8wK6WeDzPagXR_PmKQKZCApTTQK-wiUIP6301A&s

I am serving as an Area Chair for ICCV 2021,  ECCV 2020, CVPR 2021 , CVPR 2022, ECCV 2022, and an Associate Editor for PAMI, and the ACCV 2022 General co-Chair.

Jointly with my PhD students and colleagues we won a number of most prestigious awards in Computer Vision research, including the IEEE CVPR Best Paper Award, Marr Prize (Honourable Mention),  IEEE ICPR Best Paper Award,  IEEE ICIP Best Student Paper Award,  DSTO Best Paper Prize, WACV Award,  ACL Best Outstanding DEMO Award, and multiple DICTA Best Paper Awards. 

We are developing next generation AR/VR/MR technology by researching advanced computer vision, computer graphics and deep learning.

  <news> •  I am part of a multi-million dollar grant project, aiming to apply 3D computer vision and deep learning for plant phonemics with a potential application to optimising the production line of plant-based covid-19 vaccine.  See news here: https://cecs.anu.edu.au/news/plant-biology-meets-computer-vision

and here: https://www.nature.com/articles/d42473-020-00253-2



I am a founding CI (Chief Investigator) for the Australian Government funded ARC Centre of Excellence for Robotic Vision (CE14—$40 million funding strength), and a faculty member of the Computer Vision and Robotics group at the ANU, where I do teaching and research in the field of Computer Vision (3D Vision Reconstruction, SFM and Robot SLAM), Image Processing, and Machine Learning.   I was a Visiting Professor at the Robotics Institute of  CMU, Carnegie Mellon University,  for 2017— 2018.  During 2008-2009 I was with NICTA as a Senior Scientist contributing to the ARC-funded Australia’s Bionic Eye (special initiative, major grant of $52 millions).  Prior to 2010 I was a Fellow with the RSISE @ ANU and a seconded Senior Researcher with NICTA (National ICT Australia), Canberra Labs until 2008. I am privileged to be working under the mentoring of Professor Richard Hartley at ANU since 2004.  Previously I was Associate School Director (Research) for ANU School of Engineering.

I am an Area Chair for ICCV 2021 and CVPR 2021, CVPR 2022,  Area Chair for ECCV 2020 and  Area Chair for CVPR 2020 at Seattle 2020.   I am ICCV 2019 Presentation Chair and Area Chair.  I serve on the Editorial Board as Associate Editor for the IEEE- Transactions on Pattern Analysis and Machine Intelligence (PAMI)— the No.1 journal in Computer Vision and Artificial Intelligence,  and Associate Editor for Image and Vision Computing, IPSJ CVA, IET-CV etc.   Program Chair for DICTA 2017, ACCV 2018, ACRA 2015, and Area Chair for recent year CVPR,  ICCV, BMVC, Program Chair for ACCV 2018,  and  3DV.

ANU is the best research university in Australia, located in the beautiful “Bush Capital” City of Canberra.  ANU has multiple scholarship schemes available for PhD applicants.  We also welcome students to apply to our ANU Computer Vision PhD Program. 


Past Research Projects

1.        Deep Learning for 3D Visual Perception

2.        Novel Camera Sensors for robust robotic vision (funded by ARC Centre of Excellence for Robotic Vision).

3.        Unorganised image based City-scale 3D modelling (funded by an ARC Discovery project).

4.        Visual Navigation for Autonomous Driving  (self-driving cars, funded by a global automobile manufacturer). 

5.        Human-computer interaction for medical images (funded by Microsoft Research, via an ARC Linkage grant).

6.        Non-rigid Shape and Motion Capture via subspace or sub-manifold clustering.

7.        Global optimisation and inference for MRF/CRF.

8.        Artificial neural networks and Deep Learning.

9.        Mathematics Optimisation in low level computer vision problems.

10.   Autonomous flying of autonomous robots in all-weather conditions.

11.     ARC Discovery grant: 2023-2025 : Computer Vision for Two-way Auslan Video Sign language Machine Translation: 

Research Team (Current, and alumni):

Dr.  Laurent Kneip (Now a tenure track professor of Shanghai Tech),  ARC DECRA Fellow; Dr.  Viorela Ila ( is joining University of Sydney) ,  ACRV Research Fellow; Dr.  Anoop Cherian (MERL, Boston),  ACRV Research Fellow;  Dr.  Yuchao Dai (now a Professor of  NPU),  ARC DECRA Fellow; Dr. Dingfu Zhou (Senior Researcher of BaiDu IDL),   ANU Postdoctoral Fellow ;PhD students: ;Jiaolong Yang (Researcher of MSRC, Microsoft-Research),   Jie Liang,  Mr. Cristian  Rodrigiuze,  Joey Zhou,   Mehdani M., Liu Liu, Yiran Zhong, Dylan Campbell, Pan Ji, Sadeep Jayasumana,; Ajanthan Thalaiyasinga,Gao Zhu,Yansheng Ming, Mohammad Sadegh,Zhipeng Xiao, Jae-hak Kim, Jun Sun, Gucan Long.

Selected Recent Publications

The CVPR, ICCV and ECCV are premier conferences in Computer Vision research community. The IEEE TPAMI,TIP, IJCV are top journals in the field of computer vision, image and pattern recognition.


Submitted to SIGGRAPH-Asia 2022


Submitted to SIGGRAPH-Asia 2022


Submitted to ECCV 2022

Submitted to ECCV 2022

Diffeomorphic Neural Surface Parameterization for 3D and Reflectance Recovery, Cheng, Ziang and Li, Hongdong  and Sato, Imari and Hartley, Richard and Zheng, Yinqiang,


 In  ACM  SIGGRAPH,  2022.

title={HDR-NeRF: High Dynamic Range Neural Radiance Fields},

  author={Huang, Xin and Zhang, Qi and Feng, Ying and Li, Hongdong and Wang, Xuan and Wang, Qing},


CVPR 2022

title={Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization using Satellite 


  author={Shi, Yujiao and Li, Hongdong},


 CVPR 2022

title={Align and Prompt: Video-and-Language Pre-training with Entity Prompts},

  author={Li, Dongxu and Li, Junnan and Li, Hongdong},


CVPR 2022

title={Improving GAN Equilibrium by Raising Spatial Awareness},

  author={Wang, Jianyuan and Yang, Ceyuan and Xu, Yinghaoand Shen,  Yujun  and Li, Hongdong and Zhou, Bolei}, 


CVPR 2022

title={Learning to Estimate Hidden Motions with Global Motion Aggregation},

  author={Jiang, Shihao and Campbell, Dylan and Lu, Yao and Li, Hongdong and Hartley, Richard},


ICCV 2021

title={Ranking Models in Unlabeled New Environments},

  author={Sun, Xiaoxiao and Hou, Yunzhong and Deng,  Weijian and Li, Hongdong and Zheng, Liang},


CVPR 2021

  title={Learning Optical Flow From a Few Matches},

  author={Jiang, Shihao and Lu, Yao and Li,  Hongdong and Hartley, Richard},



title={Lighting, Reflectance and Geometry 

Estimation From 360deg Panoramic 


  author={Li, Junxuan and Li, Hongdong and Matsushita, Yasuyuki },



title={Self-Supervised Visibility Learning for Novel 

View Synthesis},

  author={Shi, Yujiao and Li, Hongdong and Yu, Xin},



  title={Deep Two-View Structure-From-Motion 


  author={Wang, Jianyuan and Zhong, Yiran and Dai, Yuchao  and Birchfield, Stan and Zhang, Kaihao and Smolyanskiy, Nikolai and Li, Hongdong},



title={ARVo: Learning All-Range Volumetric Correspondence for 

Video Deblurring},

  author={Li,Dongxu  and Xu, Chenchen  and Zhang, Kaihao and Yu,  Xin and Zhong, Yiran and Ren,  Wenqi and Suominen, Hanna and Li, Hongdong },




title={Dual Pixel Exploration: Simultaneous Depth 

Estimation and Image Restoration},

  author={Pan, Liyuan and Chowdhury, Shah and Hartley, Richard and Liu, Miaomiao and Zhang, Hongguang and Li, Hongdong},



  title={PluckerNet: Learn To Register 3D Line 


  author={Liu, Liu and Li, Hongdong and Yao, Haodong and Zha, Ruyi},



See original image

Richard Hartley, Hongdong Li ,

Stereovision, Encyclopaedia of Robotics, Springer, 2020.

Cristian  Rodriguez, et al.


Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention, WACV 2020

Dongxu Li, Xin Yu, et al.  Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison, WACV 2020


<WLS- sign language video data set is available for academic users. >

Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic ReflectanceVincent Cheng, Hongdong Li, Richard Hartley, Yinqiang Zheng, Hongdong Li,  Imari Sato,   CVPR 2021

Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li,   Learning Trajectory Dependencies for Human Motion Prediction,

ICCV 2019 (oral)

Liu Liu et al,  Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization,  ICCV 2019

 Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization Yujiao Shi, Liu Liu, Xin Yu, Hongdong Li, NeuralPS 2019

Xibin Song, Ruigang Yang,  et al. @ Baidu Robotics Research Lab,


ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving,  CVPR 2019.

Xueliang Cheng, et al,  Noise-Aware Unsupervised Deep Lidar-Stereo Fusion, CVPR 2019

Yiran Zhong et al, Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes, CVPR 2019

Dylan Campbell et al, The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation, CVPR 2019


Hongguang Zhang, et al.  Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring, CVPR 2019

Kaihao Zhanbg, et al,  Learning Joint Gait Representation via Quintuplet Loss Minimization, CVPR 2019

Image result for Semi-Dense 3D Reconstruction with a Stereo Event Camera

Semi-Dense 3D Reconstruction with a Stereo Event Camera,


Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza


Accepted by ECCV 2018

Related image

Stereo Computation for a Single Mixture Image,


 Accepted by ECCV 2018

Image result for Open-World Stereo Video Matching with Deep RNN

Open-World Stereo Video Matching with Deep RNN,


Accepted by ECCV 2018

Structure From Recurrent Motion: From Rigidity to Recurrency

Xiu Li, Hongdong Li, Hanbyul Joo,Yebin Liu,Yaser Sheikh

  In IEEE CVPR 2018.

(Congratulations to Hanbyul, and Yaser for winning the prestigious CVPR Best Paper Award at CVPR 2018 !)


Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective,Suryansh Kumar,Anoop Cherian,Yuchao Dai,Hongdong Li , In IEEE  CVPR 2018

Ji Pan, Ian Reid, et. al,   Deep Kernel Subspace Clustering for Multi-body Motion Segmentation,  submit to ICCV 2017

Dylan C.  et. al.  Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence,  ICCV 2017.   ICCV Oral Presentation.

Suryansh, et. al. Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames, ICCV 2017.

Liu Liu, et. A;, Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map, ICCV 2017.


The 1st Winner of “Non-Rigid Structure from Motion Challenge 2017” @ CVPR 2017

Kumar, Suryansh and Dai, Yuchao and Li, Hongdong.  Spatial-temporal union of subspaces for multi-body non-rigid structure-from-motion.  Pattern Recognition, 2017.

Jiaolong Yang, Gang Hua, et al., Neural Aggregation Networks for Video face Recognition, CVPR 2017

Gucan Long, Jose Alverue, Laurent Kneip, Hongdong Li, et al,  Learning image matching by watching a video,  ECCV 2016

Yuchao Dai, Laurent Kneip, Hongdong Li,  Rolling Shutter Camera Relative Pose,


Robust Optical Flow Estimation of Double-Layer Images under Transparency or Reflection,  IEEE CVPR 2016

Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals, IEEE CVPR 2016

Robust Multi-body Feature Tracker: A Segmentation-free Approach,  IEEE CVPR 2016

Pan Ji, Mathieu Salzmann, Hongdong Li, 

Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data,  IEEE ICCV 2015, Oral (3% acceptance rate).

Training an artificial neural networks for image edge detection,   JZJU-Science, vol-2, 2000.

3D computer vision for ANU Self-Driving Car:  Visual odometry and vehicle ego-motion estimation for autonomous driving using side-viewing multiple-camera rig,  TR-ANU-CVRG, Jan. 2016.

Alvaro Parra Bustos, Tat-Jun Chin, et al,  Fast Rotation Search with Stereographic Projections for 3D Registration, accepted by IEEE T-PAMI, 2016.

Ajanthan Thalaiyasingam, R. Hartley, M. Salzmann and H. Li, Iteratively Reweighted Ishikawa Graph Cut for Multi-label MRFs with Non-convex Priors,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 2015.

Jiaolong Yang, Hongdong Li, 

Dense, Highly-Accurate Optical Flow Computation: the Piecewise Parametric Model Revisited.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 2015. ( Code will be available soon)

Gao Zhu, Fatih Porikli, Yansheng Ming, Hongdong Li:

Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM.

WACV 2015: 63-70

Yuchao Dai, Hongdong Li:

Rank Minimization or Nuclear-Norm Minimization: Are We Solving the Right Problem?

DICTA 2014: 1-8 (DSTO Best Paper Award)

Pan Ji, Yiran Zhong, Hongdong Li, Mathieu Salzmann:
Null space clustering with applications to motion segmentation and face clustering.

IEEE ICIP 2014: 283-287 (Best Student Paper Award)

Pan Ji, et. al.

Subspace method for multibody motion segmentation with unknown correspondences,  in ECCV 2014. 




Hongdong Li

A Parctical Algorithm for Quasi-convex Triangulation with Outliers, <full paper in PDF>, in IEEE CVPR 2007. (revised version: Thank Carl Olsson and Fredrik Kahl).


Jiaolong Yang, Hongdong Li, Yunde Jia:

Optimal Essential Matrix Estimation via Inlier-Set Maximization.

ECCV 2014: 111-126  


Mehrtash Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard Hartley, Hongdong Li:

Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) 2014:




Laurent Kneip, Hongdong Li, Yongduek Seo:

UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability. ECCV (1) 2014: 127-142.


L. Kneip,  H. Li,

Efficient Computation of Relative Pose for Multi-Camera Systems,  in IEEE CVPR 2014. 




Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi:

Optimizing over Radial Kernels on Compact Manifolds. 

IEEE CVPR 2014: 3802-3809(ORAL  presentation).


Pan Ji, Mathieu Salzmann, Hongdong Li:

Efficient dense subspace clustering.

IEEE WACV 2014: 461-468



Jiaolong Yang,Yuchao Dai,Hongdong Li,Henry Gardner,Yunde Jia

Single-Shot Extrinsic Calibration of a Generically Configured RGB-D Camera Rig from Scene Constraints, IEEE ISMAR 2013.  (acceptance rate <= 25%)


Yansheng Ming,   Hongdong Li,  Xuming He

Symmetry Detection by Contour Grouping,  IEEE ICIP 2013.


Jiaolong Yang,   Hongdong Li,   Yunde Jia

Go-ICP: a new method for registration of 3D surfaces optimally and efficiently,  International Conference on Computer Vision, ICCV 2013. ( Globally Optimal ICP algorithm:  free matlab code is available)


Jae-hak Kim, Yuchao Dai, Hongdong Li, Xin Du, Jon Kim

Multi-View 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras,   International Conference on Computer Vision, ICCV 2013.


Sadeep  Jayasumana , Mathieu  Salzmann, Hongdong  Li, Mehrtash  Harandi

A Framework for Shape Analysis via Hilbert Space Embedding,  International Conference on Computer Vision, ICCV 2013.


Hongdong Li, Richard Hartley,

Five Point Motion Estimation Made Easy, <full paper in PDF>, Pattern Recognition, 18th International Conference, ICPR 2006.


Richard Hartley, Jochen Trumpf, Yuchao Dai, Hongdong Li

Rotation Averaging, <full paper in PDF>, International Journal of Computer Vision - IJCV,  2013.


Jean-Charles Bazin, Hongdong Li, In So Kweon, Cedric Demonceaux, P. Vasseur, Katsushi Ikeuchi

A Branch and Bound Approach to Correspondence and Grouping Problems, IEEE Transactions on Pattern Analysis and Machine Intelligence, T-PAMI, vol. 99, 2012.


Yansheng Ming, Hongdong Li, Xuming He

Connected Contours: a New Contour Completion Model that Respects the Closure Effect, in IEEE CVPR 2012 (ORAL). (acceptance rate is 2.5%, 48 papers accepted out of 1933 submissions) , June 2012.


Yuchao Dai , Hongdong Li, Mingyi He

A Simple Prior-free Method for Non Rigid Structure from Motion Factorization, in CVPR 2012 (ORAL). IEEE CVPR Best Paper Award-2012   (prestigious award in international Computer Vision community. The winner out of 1,933 submissions in 2012).  Open source code is available.


Hongdong Li

Globally Optimal Consensus Maximization for Robust Multiple view Geometry Estimation, <full paper in PDF>, In ICCV 2009, Kyoto, 2009.


Hongdong Li

Multi-view Structure Computation without Explicitly Estimating Motion, in CVPR 2010 (ORAL), (acceptance rate is 4.8%, out of 1500 submissions)



Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li and Mehrtash Harandi.

Combining Multiple Manifold-valued Descriptors for Improved Object Recognition, IEEE DICTA 2013,  CiSRA"Best Recognition Paper Award".



W. Kusakunniran, Q. Wu, J. Zhang, H. Li

Multiple view transformation based approach to view-invariant human gait recognition, International Conference on Pattern Recognition, ICPR 2010. (ICPR Best Student paper Award (Biometric Track)).


Yansheng Ming, Hongdong Li, Xuming He

Joint Contour Cue and Region cue Salient Image Segmentation  (PDF coming soon..). IEEE  CVPR 2013 (poster).


Hongdong Li

Consensus Set Maximization with Guaranteed Global Optimality for Robust Geometry Estimation, <full paper in PDF>, In ICCV 2009, Kyoto, 2009.


Hongdong Li,

Efficient Reduction for solving L_infinity Problems in Multiview Geometry, <preprint in PDF>. In proc. IEEE CVPR 2009, Miami, 2009.


Hongdong Li, Richard Hartley

The 3D-3D Registration Problem Revisited, in Proc. ICCV 2007. (This paper gives a branch and bound method for searching the rotation space and permutation space.)


Richard Hartley, Hongdong Li

An Efficient Hidden Variable Approach to Minimal-Case Camera Motion Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE PAMI 2012.


Hongdong Li

Two-view Motion Segmentation from Linear Programming Relaxation, <full paper in PDF>, in IEEE CVPR 2007 (ORAL).


Hongdong Li

A Practical Algorithm for L-infinity Triangulation with Outliers, <full paper in PDF>, in IEEE CVPR 2007. (revised version: Thank Carl Olsson and Fredrik Kahl).


Chunhua Shen, Hongdong Li, and Michael Brooks

Supervised Dimensionality Reduction via Sequential Semi-definite Programming,  Pattern Recognition, Elsevier, 2008.


Yuchao Dai, Hongdong Li, and MinyiHe

Element-wise Factorization for N-view Projective Reconstruction, <full paper in PDF>. in ECCV 2010. Yuchao DAI was funded by CSC (Chinese Scholarship Council).


Hongdong Li

A Simple Solution to the Six-point Two-view Focal-length Algorithm, <Source code can be found in the paper PDF>, in ECCV 2006.


Y.Dai , J.Trump, H. Li, Richard Hartley

Rotation Average with Application to Multi-camera Rig Calibration, in Proc. ACCV 2009.


H. Li, R. Hartley, J. Kim

A Linear Approach to Motion Estimation Using Generalized Camera Models, <preprint pdf, CVPR08> in IEEE CVPR 2008. [Two-view motion estimation for Multi-camera rig system, or more general generalized camera models]


Jae-hak Kim, H. Li, R.Hartley

Motion Estimation for a Multi-camera System Using Global Optimization, in Proc. IEEE CVPR 2008.


John Lim, Nick Barnes, Hongdong Li

Estimating Relative Camera Motion from the Antipodal Epipolar Constraint,   IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI 2011.


Hongdong Li, Richard Hartley

A New Conformal Spherical Representations for 3D Shapes, Pattern Recognition, an International Journal, Elsevier Publisher, 2007. DOI Bookmark: 10.1016/j.patcog.2007.01.021 (5-Year Impact Factor: 3.725).


Hongdong Li and Chunhua Shen

Interactive color image segmentation with linear programming, Journal of Machine Vision and Applications, (MVA), 2010.


Wen, Z.Y.; Fraser, D.; Lambert, A.; H. Li

Reconstruction of underwater Image by Bispectrum, IEEE International Conference on Image Processing, ICIP 2007.
(Youtube Link: http://www.youtube.com/watch?v=hMsXBWZdFjc )



Hongdong Li,  Richard Hartley

A new and compact algorithm for simultaneously matching and estimation,

in Proc IEEE- ICASSP 2004.


Hongdong Li,  Richard Hartley

A Non-iterative Method for Correcting Lens Distortion from Nine Point
  in Omni-Vision'05,  in conjunction with IEEE - ICCV 2005,  Beijing.  (Free Matlab source code is available on request).



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