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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 als 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 Chinas 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 Torrs 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 CVPR2014 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)
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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
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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.
 
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 Australias
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.
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Submitted
to SIGGRAPH-Asia 2022
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Submitted
to SIGGRAPH-Asia 2022
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Submitted to ECCV 2022
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Submitted to ECCV 2022
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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.
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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
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title={Beyond
Cross-view Image Retrieval: Highly Accurate Vehicle Localization using
Satellite
Image},
author={Shi, Yujiao and Li, Hongdong},
CVPR
2022
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title={Align and
Prompt: Video-and-Language Pre-training with Entity Prompts},
author={Li,
Dongxu and Li, Junnan
and Li, Hongdong},
CVPR 2022
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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
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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
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title={Ranking
Models in Unlabeled New Environments},
author={Sun, Xiaoxiao and Hou,
Yunzhong and Deng, Weijian
and Li, Hongdong and Zheng, Liang},
CVPR 2021
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title={Learning Optical Flow From a Few Matches},
author={Jiang, Shihao and Lu, Yao and Li,
Hongdong and Hartley, Richard},
CVPR2021
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title={Lighting,
Reflectance and Geometry
Estimation From
360deg Panoramic
Stereo},
author={Li,
Junxuan and Li, Hongdong and Matsushita, Yasuyuki },
CVPR2021
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title={Self-Supervised
Visibility Learning for Novel
View Synthesis},
author={Shi, Yujiao and Li, Hongdong and Yu,
Xin},
CVPR2021
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title={Deep
Two-View Structure-From-Motion
Revisited},
author={Wang, Jianyuan and Zhong,
Yiran and Dai, Yuchao
and Birchfield, Stan and Zhang, Kaihao and Smolyanskiy,
Nikolai and Li, Hongdong},
CVPR2021
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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 },
CVPR2021
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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},
CVPR2021
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title={PluckerNet: Learn To Register 3D Line
Reconstructions},
author={Liu, Liu and Li, Hongdong and Yao, Haodong
and Zha, Ruyi},
CVPR2021
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Richard Hartley, Hongdong Li ,
Stereovision, Encyclopaedia of Robotics,
Springer, 2020.
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Cristian Rodriguez,
et al.
Proposal-free
Temporal Moment Localization of a Natural-Language Query in Video using
Guided Attention, WACV 2020
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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. >
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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
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Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li, Learning
Trajectory Dependencies for Human Motion Prediction,
ICCV 2019 (oral)
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Liu
Liu et al,
Stochastic
Attraction-Repulsion Embedding for Large Scale Image Localization, ICCV 2019
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Spatial-Aware
Feature Aggregation for Image based Cross-View Geo-Localization Yujiao
Shi, Liu Liu, Xin Yu, Hongdong Li, NeuralPS 2019
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ApolloCar3D:
A Large 3D Car Instance Understanding Benchmark for Autonomous Driving, CVPR 2019.
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Xueliang Cheng, et al, Noise-Aware
Unsupervised Deep Lidar-Stereo Fusion, CVPR
2019
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Yiran Zhong et al, Unsupervised
Deep Epipolar Flow for Stationary or Dynamic
Scenes, CVPR 2019
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Dylan
Campbell et al, The
Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment
for Camera Pose Estimation, CVPR 2019
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Hongguang Zhang, et al. Deep
Stacked Hierarchical Multi-Patch Network for Image Deblurring,
CVPR 2019
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Kaihao Zhanbg, et al, Learning
Joint Gait Representation via Quintuplet Loss Minimization, CVPR 2019
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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
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Stereo
Computation for a Single Mixture Image,
Accepted by ECCV 2018
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Open-World
Stereo Video Matching with Deep RNN,
Accepted by ECCV 2018
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Structure From Recurrent Motion: From Rigidity to Recurrency
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Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective,Suryansh
Kumar,Anoop Cherian,Yuchao
Dai,Hongdong Li , In IEEE CVPR 2018
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Ji Pan, Ian Reid,
et. al, Deep Kernel Subspace
Clustering for Multi-body Motion Segmentation, submit to ICCV 2017
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Dylan C. et.
al. Globally-Optimal Inlier Set Maximisation for
Simultaneous Camera Pose and Feature Correspondence, ICCV 2017. ICCV Oral Presentation.
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Suryansh, et. al. Monocular Dense 3D Reconstruction of a Complex
Dynamic Scene from Two Perspective Frames, ICCV 2017.
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Liu Liu, et. A;, Efficient Global 2D-3D
Matching for Camera Localization in a Large-Scale 3D Map, ICCV 2017.
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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.
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Jiaolong Yang, Gang Hua, et al., Neural
Aggregation Networks for Video face Recognition, CVPR 2017
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Gucan Long, Jose Alverue, Laurent Kneip,
Hongdong Li, et al, Learning image matching by watching a video, ECCV 2016
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Yuchao Dai, Laurent Kneip, Hongdong Li,
Rolling Shutter Camera
Relative Pose,
IEEE CVPR 2016
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Robust Optical Flow Estimation of
Double-Layer Images under Transparency or Reflection, IEEE CVPR 2016
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Beyond Local Search:
Tracking Objects Everywhere with Instance-Specific Proposals, IEEE CVPR 2016
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Robust Multi-body
Feature Tracker: A Segmentation-free Approach, IEEE CVPR 2016
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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).
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Training an artificial neural networks for image edge
detection, JZJU-Science, vol-2,
2000.
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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.
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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.
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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)
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Pan Ji,
et. al.
Subspace
method for multibody motion segmentation with unknown correspondences, in ECCV
2014.
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Pan Ji,
Mathieu Salzmann, Hongdong Li:
Efficient
dense subspace clustering.
IEEE
WACV 2014: 461-468
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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".
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Yansheng Ming, Hongdong Li, Xuming He
Joint
Contour Cue and Region cue Salient Image Segmentation
(PDF coming soon..).
IEEE CVPR 2013 (poster).
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< For more papers,
please see Publications
page >
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