Professor Hongdong Li
Areas of expertise
- Computer Vision 080104
- Image Processing 080106
- Artificial Intelligence And Image Processing 0801
- Virtual Reality And Related Simulation 080111
- Adaptive Agents And Intelligent Robotics 080101
Research interests
Computer Vision
Machine Learning
VR and AR
Artificial Intelligence
Deep Learning
Robotics, Autonomous Driving, Autonomous vehicle
Biography
Chief Investigator Professor Hongdong Li has been with the College of Engineering and Computer Science, the Australian National University (ANU) since 2004. He was seconded to National ICT Australia (NICTA) as a Senior Research Scientist during 2008-2010 working on the 'Australia Bionic Eyes' Project. From 2010 he assumed a tenured position with ANU, doing teaching and research in 3D computer vision and robotics at ANU. He as one of the founding CIs joined the ACRV from 2014. During 2017—2018 he was a Visiting Professor with the Robotics Institute at Carnegie Mellon University (CMU), Pittsburgh. During 2019-2020 he served as the Associate School Director for ANU Research School of Engineering.
Hongdong’s primary research interests are 3D Computer Vision, Multi-view geometry, camera calibration and optimal 3D registration, deep learning for autonomous driving. His research addresses both fundamental problems and applied AI systems in dynamic environments. He serves on the Editorial Boards for leading journals in artificial intelligence, such as as the Associate Editor for IEEE T-PAMI (Transactions on Pattern Analysis and Machine Intelligence), Guest Editor for IJCV (International journal of computer vision), editor for IVC (Image and Vision Computing), IET-Computer Vision, and IPSJ CVA (Computer Vision and Application). He served regularly as Area Chair and Session Chair for recent years' IEEE CVPR, ICCV, and ECCV etc. premier conferences in computer vision. He was the Co-Program Chair for Australasian Conference on Robotics and Automation (ACRA) in 2015 and DICTA 2017, as well as a co-Program Chair for ACCV-2018 and ACCV 2022 “Asian Conference on Computer Vision”. His recent works focus on learning in 3D perception for plant sciences and vision based spatial-awareness computation, and efficient and robust robot navigation in unfamiliar environments.
Jointly with his students and co-workers he won a number of most prestigious awards in computer vision, including the “David Marr Prize- Honourable mention” in 2017, the IEEE CVPR Best Paper Award in 2012, and IEEE ICIP Best Student Paper Prize in 2014, and IEEE ICPR Best student Paper in 2010. Both the Marr Prize and CVPR Best Paper Award are highly regarded awards in the international computer vision community. He has supervised/co-supervised/graduated 20+ PhD students in the area of computer vision. His research projects have been funded by Australia Research Council, CSIRO, as well as by global technical firms including Microsoft Research, General Motors, Toshiba, Baidu AI etc.
Available student projects
Image based 3D plant modeling - Keywords: Computer vision, 3D reconstruction, Multi-view Geometry, Structure from motion, computer graphics.
Past student projects
Computer vision
Machine Learning and deep learning
hand held 3D vision modelling
autonomous vehicle
Autonomous driving
SLAM
mobile robot navigation
virtual reality and augmented reality
Artificial intelligence
Publications
- Rodriguez Opazo, C, Marrese-Taylor, E, Fernando, B et al. 2021, 'DORi: Discovering object relationships for moment localization of a natural language query in a video', 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021, IEEE, United States, pp. 1078-1087.
- Wan, J, Zhang, K, Li, H et al. 2021, 'Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition', IEEE Transactions on Image Processing, vol. 30, pp. 5085 - 5095.
- Song, X, Li, W, Zhou, D et al. 2021, 'MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation', IEEE Transactions on Image Processing, vol. 30, pp. 4691-4705.
- Joo, K, Li, H, Oh, T et al. 2021, 'Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, pp. 1-11.
- Liu, M, Salzmann, M, Li, H et al. 2021, 'Multi-level Motion Attention for Human Motion Prediction', International Journal of Computer Vision, vol. 129, pp. 2513-2535.
- Zhang, K, Luo, W, Ma, L et al. 2021, 'Disentangled Feature Networks for Facial Portraits Generation', IEEE Transactions on Multimedia, vol. 24.
- Kumar, S, Dai, Y & Li, H 2021, 'Superpixel soup: Monocular dense 3d reconstruction of a complex dynamic scene', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 5, pp. 1705-1717.
- Zhu, H, Guo, M, Li, H et al. 2021, 'Revisiting Spatio-Angular Trade-off in Light Field Cameras and Extended Applications in Super-Resolution', IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 6, pp. 3019-3033.
- Zhang, Q, Li, H, Wang, X et al. 2021, '3D Scene Reconstruction with an Un-calibrated Light Field Camera', International Journal of Computer Vision, vol. 129, pp. 3006ââ¬â3026.
- Niu, W, Zhang, K, Luo, W et al. 2021, 'Deep robust image deblurring via blur distilling and information comparison in latent space', Neurocomputing, vol. 466, pp. 69-79.
- Wang, C, Bai, X, Wang, X et al. 2021, 'Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation', IEEE Transactions on Cybernetics, vol. 51, no. 10, pp. 4770-4783.
- Ben Shabat, Y, Yu, X, Saleh, F et al. 2021, 'The IKEA ASM Dataset: Understanding people assembling furniture through actions, objects and pose', 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021, IEEE, United States, pp. 846-858.
- Zhang, H, Koniusz, P, Jian, S et al. 2021, 'Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning', 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, IEEE Computer Society, United States, pp. 9427-9436.
- Zhu, X, Cao, Y, Zhou, Z et al. 2020, '3D Human Pose Estimation with 2D Human Pose and Depthmap', 27th International Conference on Neural Information Processing, ICONIP 2020, ed. H. Yang, K. Pasupa, A.C.-S Leung, J.T. Kwok, J.H Chan & I. King, Springer, Germany, pp. 267-274.
- Wang, J, Zhong, Y, Dai, Y et al. 2020, 'Displacement-invariant matching cost learning for accurate optical flow estimation', 34th Conference on Neural Information Processing Systems, NeurIPS 2020, ed. H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan & H. Lin, Neural Information Processing Systems Foundation, United States, pp. 1-12.
- Wang, Y, Huang, K, Peng, X et al. 2020, 'Reliable frame-to-frame motion estimation for vehicle-mounted surround-view camera systems', 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Institute of Electrical and Electronics Engineers Inc., Piscataway, New Jersey, pp. 1660-1666.
- Zhang, K, Luo, W, Stenger, B et al. 2020, 'Every Moment Matters: Detail-Aware Networks to Bring a Blurry Image Alive', MM '20: The 28th ACM International Conference on Multimedia, Association for Computing Machinery (ACM), New York, NY, United States, pp. 384-392.
- Li, D, Yu, X, Xu, C et al. 2020, 'Transferring Cross-Domain Knowledge for Video Sign Language Recognition', CVPRW 2020 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, United States, pp. 6204-6213.
- Li, D, Xu, C, Yu, X et al. 2020, 'TSPNet: Hierarchical feature learning via temporal semantic pyramid for sign language translation', 34th Conference on Neural Information Processing Systems, NeurIPS 2020, ed. H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan & H. Lin, Neural Information Processing Systems Foundation, United States.
- Joo, K, Li, H, Oh, T et al. 2020, 'Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick', 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Institute of Electrical and Electronics Engineers Inc., Piscataway, New Jersey, pp. 4983-4989.
- Zhang, K, Luo, W, Ma, L et al. 2020, 'Learning joint gait representation via quintuplet loss minimization', IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019, IEEE, United States, pp. 4695-4704.
- Song, X, Dai, Y, Zhou, D et al. 2020, 'Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution', 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, IEEE, United States, pp. 5630-5639.
- Zhang, H, Dai, Y, Li, H et al. 2020, 'Deep stacked hierarchical multi-patch network for image deblurring', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, IEEE, United States, pp. 5971-5979.
- Li, D, Rodriguez Opazo, C, Yu, X et al. 2020, 'Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison', 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, United States of America, pp. 1448-1458.
- Rodriguez Opazo, C, Marrese-Taylor, E, Saleh, F et al. 2020, 'Proposal-free temporal moment localization of a natural-language query in video using guided attention', 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, United States of America, pp. 2453-2462.
- Zhang, H, Zhang, L, Qi, X et al. 2020, 'Few-Shot Action Recognition with Permutation-Invariant Attention', 16th European Conference on Computer Vision, ECCV 2020, ed. A. Vedaldi, H. Bischof, T. Brox & J-M. Frahm, Springer, Cham, Switzerland, pp. 525-542.
- Campbell, D, Petersson, L, Kneip, L et al. 2020, 'The alignment of the spheres: Globally-optimal spherical mixture alignment for camera pose estimation', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, IEEE, United States, pp. 11788-11798.
- Zhong, Y, Ji, P, Wang, J et al. 2020, 'Unsupervised deep epipolar flow for stationary or dynamic scenes', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, IEEE, United States, pp. 12087-12096.
- Shi, Y, Yu, X, Campbell, D et al. 2020, 'Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching', 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, IEEE, United States, pp. 4063-4071.
- Zhang, K, Luo, W, Ren, W et al. 2020, 'Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding', 16th European Conference on Computer Vision, ed. Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm, Springer Nature Switzerland AG, Switzerland, pp. 71-89.
- Zhu, H, Zhang, Q, Wang, Q et al. 2020, '4D Light Field Superpixel and Segmentation', IEEE Transactions on Image Processing, vol. 29, no. 0, pp. 85-99.
- Zhou, D, Dai, Y & Li, H 2020, 'Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry', IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 2, pp. 791-802.
- Zhu, H, Sun, X, Zhang, Q et al. 2020, 'Full View Optical Flow Estimation Leveraged From Light Field Superpixel', IEEE Transactions on Computational Imaging, vol. 6, pp. 12-23.
- Song, Z, Zhu, H, Wu, Q et al. 2020, 'Accurate 3D Reconstruction from Circular Light Field Using CNN-LSTM', 2020 IEEE International Conference on Multimedia and Expo (ICME), IEEE, USA, pp. 1-6.
- Campbell, D, Petersson, L, Kneip, L & Li, H 2018, 'Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. online.
- Zhang, K, Luo, W, Zhong, Y et al 2019, 'Adversarial Spatio-Temporal Learning for Video Deblurring', IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 291-301.
- Zhou, Y, Li, H & Kneip, L 2019, 'Canny-VO: Visual Odometry with RGB-D Cameras Based on Geometric 3-D-2-D Edge Alignment', IEEE Transactions on Robotics, vol. 35, no. 1, pp. 184-199.
- Yu, X, Tian, Y, Porikli, F et al. 2019, 'Unsupervised extraction of local image descriptors via relative distance ranking loss', 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, ed. Kyoung Mu Lee, David Forsyth, Marc Pollefeys, Xiaoou Tang, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 2893-2902.
- Song, X, Wang, P, Zhou, D et al. 2019, 'ApolloCar3D: A large 3D car instance understanding benchmark for autonomous driving', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, IEEE, United States, pp. 5452-5462.
- Liu, M, Salzmann, M, Li, H et al. 2019, 'Learning trajectory dependencies for human motion prediction', 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, ed. Kyoung Mu Lee, David Forsyth, Marc Pollefeys, Xiaoou Tang, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 9488-9496.
- Zhang, T, Ji, P, Harandi, M et al. 2019, 'Neural collaborative subspace clustering', 36th International Conference on Machine Learning, ICML 2019, Curran Associates, Inc., United States, pp. 12777-12786.
- Zhang, K, Luo, W, Ma, L et al. 2019, 'Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse', The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI Press, California USA, pp. 9203-9210.
- Zhu, H, Sun, X, Zhang, Q et al. 2019, 'Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels', 14th Asian Conference on Computer Vision (ACCV 2018), ed. C Jawahar, H Li, G Mori & K Schindler, Springer, Switzerland, pp. 3-12.
- Shi, Y, Liu, L, Yu, X et al. 2019, 'Spatial-aware feature aggregation for cross-view image based geo-localization', 33rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019, Neural Information Processing Systems Foundation, United States.
- Zhong, Y, Dai, Y & Li, H 2018, '3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes', 24th International Conference on Pattern Recognition, ICPR 2018, IEEE, USA, pp. 2343-2349pp.
- Li, H, Han, X, Lu, J et al. 2018, 'Fully Convolutional Neural Networks for Road Detection with Multiple Cues Integration', 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, ed. K Lynch, Institute of Electrical and Electronics Engineers Inc., USA, pp. 4608-4613.
- Li, X, Li, H, Joo, H et al. 2018, 'Structure from Recurrent Motion: From Rigidity to Recurrency', 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, United States, pp. 3032-3040.
- Zhou, Y, Gallego, G, Rebecq, H et al. 2018, 'Semi-dense 3D Reconstruction with a Stereo Event Camera', 15th European Conference on Computer Vision, ECCV 2018, ed. L Leal-Taixe, S Roth, Springer Verlag, Germany, pp. 242-258.
- Zhong, Y, Dai, Y & Li, H 2018, 'Stereo computation for a single mixture image', 15th European Conference on Computer Vision, ECCV 2018, ed. L Leal-Taixe, S Roth, Springer Verlag, Germany, pp. 441-456.
- Zhong, Y, Li, H & Dai, Y 2018, 'Open-World Stereo Video Matching with Deep RNN', 15th European Conference on Computer Vision, ECCV 2018, ed. L Leal-Taixe, S Roth, Springer Verlag, Germany, pp. 104-119.
- Kumar, S, Cherian, A, Dai, Y et al. 2018, 'Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective', 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, United States, pp. 254-263.
- Liu, L, Li, H, Dai, Y et al 2018, 'Robust and Efficient Relative Pose With a Multi-Camera System for Autonomous Driving in Highly Dynamic Environments', IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 8, pp. 2432-2444pp.
- Han, X, Lu, J, Zhao, C et al 2018, 'Semisupervised and Weakly Supervised Road Detection Based on Generative Adversarial Networks', IEEE Signal Processing Letters, vol. 25, no. 4, pp. 551-555pp.
- G. Zhu, F. Porikli, H. Li, 2018, 'Not all negatives are equal: Learning to track with multiple background clusters', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 2, pp. 314-326.
- Ng, Y, Kim, J & Li, H 2017, 'Robust dense optical flow with uncertainty for monocular pose-graph SLAM', Australasian Conference on Robotics and Automation, ACRA 2017, ed. A Alempijevic, Callej T & S Kodagoda, Australasian Robotics and Automation Association, Australia, pp. 156-164pp.
- Ji, P, Zhang, T, Li, H et al 2017, 'Deep subspace clustering networks', 31st Annual Conference on Neural Information Processing Systems, NIPS 2017, ed. I Guyon, U Luxburg, S Bengio, H Wallach & R Fergus, Neural Information Processing Systems Foundation, TBC, pp. 24-33.
- Liu, L, Li, H & Dai, Y 2017, 'Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map', 16th IEEE International Conference on Computer Vision, ICCV 2017, ed. Lisa O'Conner, IEEE, Danvers USA, pp. 2391-2400.
- Ji, P, Li, H, Dai, Y et al. 2017, 'Maximizing Rigidity Revisited: a Convex Programming Approach for Generic 3D Shape Reconstruction from Multiple Perspective Views', 16th IEEE International Conference on Computer Vision, ICCV 2017, ed. Lisa O'Conner, IEEE, Danvers USA, pp. 929-937pp.
- Xiao, Z, Dai, B, Li, H et al 2017, 'Gaussian process regression-based robust free space detection for autonomous vehicle by 3-D point cloud and 2-D appearance information fusion', International Journal of Advanced Robotic systems, vol. July-August, pp. 1-20.
- Kumar, S, Dai, Y & Li, H 2017, 'Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames', 16th IEEE International Conference on Computer Vision, ICCV 2017, ed. Lisa O'Conner, IEEE, Danvers USA, pp. 4659-4667.
- Yang, J, Ren, P, Zhang, D et al. 2017, 'Neural aggregation network for video face recognition', CVPRW 2017 - 30th IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, ed. Lisa O'Conner, IEEE, United States, pp. 5216-5225.
- Pang, C, Li, H, Cherian, A et al 2017, 'Part-based fine-grained bird image retrieval respecting species correlation', 24th IEEE International Conference on Image Processing, ICIP 2017, IEEE, USA, pp. 2896-2900.
- Drory, A, Zhu, G, Li, H et al 2017, 'Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters', Computer Vision and Image Understanding, vol. 159, pp. 116-127.
- Drory, A, Li, H & Hartley, R 2017, 'A learning-based markerless approach for full-body kinematics estimation in-natura from a single image', Journal of Biomechanics, vol. 55, no. -, pp. 1-10.
- Zhou, Y, Kneip, L, Rodriguez Opazo, C et al. 2017, 'Divide and conquer: Efficient density-based tracking of 3D sensors in Manhattan worlds', Asian Conference on Computer Vision, ed. Nishino K.Lai S.-H.L, Springer Verlag, Berlin, Germany, pp. 3-19pp.
- Kumar, S, Dai, Y & Li, H 2017, 'Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion', Pattern Recognition, vol. 71, pp. 428-443.
- Xiao, Z, Li, H, Zhou, D et al. 2017, 'Accurate Extrinsic Calibration between Monocular Camera and Sparse 3D Lidar Points without Markers', 28th IEEE Intelligent Vehicles Symposium, IV 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. 424-429.
- Zhou, Y, Kneip, L & Li, H 2017, 'Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour Fields', IEEE International Conference on Robotics and Automation, ICRA 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. 6261-6268pp.
- Zhou, D, Fremont, V, Quost, B et al. 2017, 'Moving object detection and segmentation in urban environments from a moving platform', Image and Vision Computing, pp. 1-12pp.
- Campbell, D, Petersson, L, Kneip, L & Li, H 2017, 'Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence', 16th IEEE International Conference on Computer Vision, ICCV 2017, ed. Lisa O'Conner, IEEE, Danvers, pp. 1-10.
- Drory, A, Li, H & Hartley, R 2017, 'Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models', Scopus Journal JBioMec, vol. 231, no. 3, pp. 169-183.
- Kumar, S, Dai, Y & Li, H 2016, 'Multi-body Non-rigid Structure-from-Motion', 4th International Conference on 3D Vision, 3DV 2016, IEEE, Online, pp. 148-156pp.
- Ng, Y, Jiang, B, Yu, B et al. 2016, 'Non-Iterative, Fast SE(3) Path Smoothing', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, IEEE, Online, pp. 3172-3179pp.
- Dai, Y & Li, H 2016, 'Simultaneous Correspondences Estimation and Non-Rigid Structure Reconstruction', International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, ed. A W-C Liew and J G Zhou, IEEE, Online, pp. 7pp.
- Zhou, Y, Kneip, L & Li, H 2016, 'Real-time Rotation Estimation for Dense Depth Sensors in Piece-wise Planar Environments', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, IEEE, Online, pp. 2271-2278pp.
- Ming, Y, Li, H & He, X 2016, 'Contour Completion Without Region Segmentation', IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3597-3611.
- Ming, Y, Li, H & He, X 2016, 'Contour Completion Without Region Segmentation', IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3597-3611.
- Parra Bustos, A, Chin, T, Eriksson, A et al 2016, 'Fast Rotation Search with Stereographic Projections for 3D Registration', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 11, pp. 2227-2240.
- Long, G, Kneip, L, Alvarez, J et al 2016, 'Learning image matching by simply watching video', Lecture Notes in Computer Science (LNCS), vol. 9910 LNCS, pp. 434-450.
- Yang, J, Li, H, Dai, Y et al 2016, 'Robust optical flow estimation of double-layer images under transparency or reflection', IEEE Conference on Computer Vision and Pattern Recognition, 2016, IEEE, USA, pp. 1410-1419.
- Ji, P, Li, H, Salzmann, M et al 2016, 'Robust multi-body feature tracker: A segmentation-free approach', IEEE Conference on Computer Vision and Pattern Recognition, 2016, IEEE, USA, pp. 3843-3851.
- Ji, P, Li, H, Salzmann, M et al 2016, 'Robust multi-body feature tracker: A segmentation-free approach', IEEE Conference on Computer Vision and Pattern Recognition, 2016, IEEE, USA, pp. 3843-3851.
- Dai, Y, Li, H & Zhou, D 2016, 'Reliable scale estimation and correction for monocular Visual Odometry', 2016 IEEE Intelligent Vehicles Symposium, IV 2016, Institute of Electrical and Electronics Engineers Inc., TBC, pp. 490-495.
- Yang, J, Li, H, Dai, Y et al 2016, 'Robust optical flow estimation of double-layer images under transparency or reflection', IEEE Conference on Computer Vision and Pattern Recognition, 2016, IEEE, USA, pp. 1410-1419.
- Dai, Y, Li, H & Kneip, L 2016, 'Rolling shutter camera relative pose: Generalized epipolar geometry', IEEE Conference on Computer Vision and Pattern Recognition, 2016, IEEE, USA, pp. 4132-4140.
- F. Porikli, G. Zhu, H. Li, et al 2016, 'The thermal infrared visual object tracking VOT-TIR2016 challenge results', European Conference on Computer Vision, ECCV 2016, pp. 824-849.
- G. Zhou, F. Porikli, H. Li, 2016, 'Model-free multiple object tracking with shared proposals', 13th Asian Conference on Computer Vision, ACCV 2016, pp. 288-304.
- G. Zhu, F. Porikli, H. Li, 2016, 'Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS', Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016, pp. 1265-1272.
- G. Zhu, F. Porikli, H. Li, 2016, 'Beyond local search: Tracking objects everywhere with instance-specific proposals', IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 943-951.
- M. Kristan, A. Leonardis, J. Matas, T. Vojir, R. Pflugfelder, G. Fernandez, G. Nebehay, F. Porikli, L. Cehovin, et al 2016, 'The visual object tracking VOT2016 challenge results', European Conference on Computer Vision, ECCV 2016, pp. 777-823.
- Yang, J, Li, H, Campbell, D & Yunde, J 2016, 'Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 11, pp. 2241-2254pp.
- Zhou, Y, Kneip, L & Li, H 2015, 'A Revisit of Methods for Determining the Fundamental Matrix with Planes', International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015), IEEE, Piscataway, NJ, USA.
- Ji, P, Salzmann, M & Li, H 2015, 'Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data', IEEE International Conference on Computer Vision (ICCV/ICCVW 2015), IEEE Computer Society, USA, pp. 4687-4695.
- Ming, Y, Li, H & He, X 2015, 'Winding number constrained contour detection', IEEE Transactions on Image Processing, vol. 24, no. 1, pp. 68-79.
- Kristan, M, Matas, J, Leonardis, A et al 2015, 'The Visual Object Tracking VOT2015 Challenge Results', IEEE International Conference on Computer Vision (ICCV/ICCVW 2015), IEEE Computer Society, USA, pp. 564-586.
- Jayawardena, S, Gould, S, Li, H et al 2015, 'Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces', 12th Asian Conference on Computer Vision, ACCV 2014, ed. H.Reid, I.Yang, Springer, TBC, pp. 659-674.
- Zhu, G, Porikli, F, Ming, Y et al 2015, 'Lie-struck: Affine tracking on lie groups using structured SVM', IEEE Winter Conference on Applications of Computer Vision, WACV 2015, IEEE, TBC, pp. 63-70.
- Hirimbura Matara Kankanamge, G, Hartley, R, Salzmann, M et al. 2015, 'Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 12, pp. 2464-2477.
- Yang, J & Li, H 2015, 'Dense, accurate optical flow estimation with piecewise parametric model', CVPRW 2015 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, USA, pp. 1019-1027.
- Kneip, L, Zhou, Y & Li, H 2015, 'SDICP: Semi-Dense Tracking based on Iterative Closest Points', British Machine Vision Conference BMVC 2015, ed. Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, British Machine Vision Association, BMVA, Swansea, pp. 1-12.
- Felsberg, M, Berg, A, Hager, G et al 2015, 'The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results', IEEE International Conference on Computer Vision (ICCV/ICCVW 2015), IEEE Computer Society, USA, pp. 1-13pp.
- Hirimbura Matara Kankanamge, G, Hartley, R, Salzmann, M et al. 2015, 'Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 12, pp. 2464-2477.
- Ajanthan, T, Hartley, R, Salzmann, M, & Li, H, 'Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors', CVPR, 2015.
- Kusakunniran, W, Wu, Q, Zhang, J et al 2014, 'Recognizing gaits across views through correlated motion co-clustering', IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 696-709.
- Dai, Y & Li, H 2014, 'Rank minimization or nuclear-norm minimization: Are we solving the right problem?', 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), ed. Phung, S.L., Bouzerdoum, A., Ogunbona, P., Li, W., Wang, L., IEEE, USA, pp. 1-8pp.
- Dai, Y, Li, H & He, M 2014, 'A simple prior-free method for non-rigid structure-from-motion factorization', International Journal of Computer Vision, vol. 107, no. 2, pp. 101-122.
- Harandi, M, Salzmann, M, Hirimbura Matara Kankanamge, G et al. 2014, 'Expanding the family of Grassmannian kernels: An embedding perspective', 13th European Conference on Computer Vision, ECCV 2014, ed. D Fleet, T Pajdla, B Schiele, T Tuytelaars, Springer Verlag, Zurich Switzerland, pp. 408-423.
- Ji, P, Salzmann, M & Li, H 2014, 'Efficient dense subspace clustering', 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014, IEEE Computer Society, USA, pp. 461-468.
- Ji, P, Li, H, Salzmann, M et al 2014, 'Robust motion segmentation with unknown correspondences', 13th European Conference on Computer Vision, ECCV 2014, ed. D Fleet, T Pajdla, B Schiele, T Tuytelaars, Springer Verlag, Zurich Switzerland, pp. 204-219.
- Kneip, L & Li, H 2014, 'Efficient computation of relative pose for multi-camera systems', 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, IEEE, Columbus USA, pp. 446-453.
- Hirimbura Matara Kankanamge, G, Hartley, R, Salzmann, M et al. 2014, 'Optimizing over radial kernels on compact manifolds', 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, IEEE, Columbus USA, pp. 3802-3809.
- Yang, J, Li, H & Jia, Y 2014, 'Optimal essential matrix estimation via inlier-set maximization', 13th European Conference on Computer Vision, ECCV 2014, ed. D Fleet, T Pajdla, B Schiele, T Tuytelaars, Springer Verlag, Zurich Switzerland, pp. 111-126.
- Kneip, L, Li, H & Seo, Y 2014, 'UPnP: An optimal O(n) solution to the absolute pose problem with universal applicability', 13th European Conference on Computer Vision, ECCV 2014, ed. D Fleet, T Pajdla, B Schiele, T Tuytelaars, Springer Verlag, Zurich Switzerland, pp. 127-142.
- Ji, P, Zhong, Y, Li, H et al 2014, 'Null space clustering with applications to motion segmentation and face clustering', IEEE International Conference on Image Processing ICIP 2014, IEEE Signal Processing Society, USA, pp. 283-287.
- Zhu, G, Ming, Y & Li, H 2014, 'Object category detection by incorporating mid-level grouping cues', IEEE International Conference on Image Processing ICIP 2014, IEEE Signal Processing Society, USA, pp. 1604-1608.
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- Dai, Y, Li, H & He, M 2013, 'Projective Multiview Structure and Motion from Element-Wise Factorization', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 9, pp. 2238-2251.
- Kusakunniran, W, Wu, Q, Zhang, J et al 2013, 'A new view-invariant feature for cross-view gait recognition', IEEE Transactions on Information Forensics and Security, vol. 8, no. 10, pp. 1642-1653.
- Kim, J, Dai, Y, Li, H et al 2013, 'Multi-View 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras', IEEE International conference on Computer Vision ICCV 2013, IEEE Computer Society, USA, pp. 1896-1903.
- Ming, Y, Li, H & He, X 2013, 'Winding number for region-boundary consistent salient contour extraction', 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, IEEE, Portland, OR, pp. 2818-2825.
- Zhu, G, Ming, Y & Li, H 2013, 'Object cut as minimum ratio cycle in a superpixel boundary graph', 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, Conference Organising Committee, Hobart, TAS, p. 6.
- Yang, J, Li, H & Jia, Y 2013, 'Go-ICP: Solving 3D Registration Efficiently and Globally Optimally', IEEE International conference on Computer Vision ICCV 2013, IEEE Computer Society, USA, pp. 1457-1464.
- Hirimbura Matara Kankanamge, G, Hartley, R, Salzmann, M et al. 2013, 'Combining multiple manifold-valued descriptors for improved object recognition', 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, Conference Organising Committee, Hobart, TAS, pp. 1-6.
- Hirimbura Matara Kankanamge, G, Hartley, R, Salzmann, M et al. 2013, 'Kernel methods on the riemannian manifold of symmetric positive definite matrices', 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, IEEE, Portland, OR, pp. 73-80.
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- Y. Dai, Li, H, M. He, 2012, 'A simpel Prior-free approach for nonrigid structure from motion', 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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- Sun, J, Li, H & He, X 2011, 'Analysis on Tree Structure Selection for MRF Inference in Low-level Vision', 2011 International Conference on Digital Image Computing: Techniques and Applications(DICTA 2011), ed. A P Bradley, Y Gal, P Jackway and O Salvado, IEEE, United States, p. 6.
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- Ming, Y, Li, H & Sun, J 2011, 'Line Drawing Interpretation Using Belief Propagation', 2011 International Conference on Digital Image Computing: Techniques and Applications(DICTA 2011), ed. A P Bradley, Y Gal, P Jackway and O Salvado, IEEE, United States, pp. 113-118.
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- Du, X, Li, H & Zhu, Y 2011, 'Camera lens radial distortion correction using two-view projective invariants', Optics Letters, vol. 36, no. 24, pp. 4734-4736.
- Sun, J, Li, H & He, X 2011, 'Efficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-Spanning-Tree', International Conference on Image and Graphics (ICIG 2011), ed. Nenghai Yu and Yujin Zhang, IEEE Computer Society, Los Alamitos USA, pp. 88-93.
- Li, H 2010, 'Multi-view structure computation without explicitly estimating motion', Computer Vision and Pattern Recognition Conference (CVPR 2010), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), San Francisco, USA, pp. 2777-2784.
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- Lim, J, Barnes, N & Li, H 2010, 'Estimating Relative Camera Motion from the Antipodal-Epipolar Constraint', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 10, pp. 1907-U188.
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- Dai, Y, Li, H & He, M 2010, 'Element-Wise Factorization for N-View Projective Reconstruction', European Conference on Computer Vision (ECCV 2010), ed. K. Daniilidis, P. Maragos, N. Paragios, Springer, Berlin, Heidelberg, pp. 396-409.
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- Lu, Y, Wang, L, Li, H et al 2010, 'Compressive Evaluation in Human Motion Tracking', 10th Asian Conference on Computer Vision (ACCV 2010), ed. R Kimmel, R Klette and A Sugimoto, Springer, Berlin, p. 12.
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- Kusakunniran, W, Li, H & Zhang, J 2009, 'A direct method to self-calibrate a surveillance camera by observing a walking pedestrian', Digital Image Computing: Techniques and Applications (DICTA 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 250-255.
- Kusakunniran, W, Li, H & Zhang, J 2009, 'A direct method to self-calibrate a surveillance camera by observing a walking pedestrian', Digital Image Computing: Techniques and Applications (DICTA 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 250-255.
- Kusakunniran, W, Wu, Q, Li, H et al. 2009, 'Automatic gait recognition using weighted binary pattern on video', 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009, IEEE, Genova, pp. 49-54.
- Yang, D & Li, H 2009, 'A probabilistic demons algorithm for texture-rich image registration', 2009 IEEE International Conference on Image Processing, ICIP 2009, IEEE, Cairo, pp. 161-164.
- Dai, Y, He, M & Li, H 2009, 'Two efficient algorithms for outlier removal in multi-view geometry using L8 norm', 5th International Conference on Image and Graphics, ICIG 2009, IEEE, Xi'an, Shanxi, pp. 325-330.
- Li, H 2009, 'Consensus Set Maximization with Guaranteed Global Optimality for Robust Geometry Estimation', IEEE International Conference on Computer Vision (ICCV 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 1074-1080.
- Dai, Y, Trumpf, J, Li, H et al. 2009, 'Rotation averaging with application to camera-rig calibration', Asian Conference on Computer Vision (ACCV 2009), ed. Conference Program Committee, Springer, Berlin, Heidelberg, pp. 1-12.
- Li, H 2009, 'Efficient Reduction of L-infinity Geometry Problems', Computer Vision and Pattern Recognition Conference (CVPR 2009), ed. Pat Flynn, Eric Mortensen, Institute of Electrical and Electronics Engineers (IEEE Inc), Miami, USA, pp. 2695-2702.
- Kusakunniran, W, Wu, Q, Li, H et al 2009, 'Multiple Views Gait Recognition using View Transformation Model Based on Optimized Gait Energy Image', IEEE International Conference on Computer Vision (ICCV 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 1058-1064.
- Yang, D & Li, H 2009, 'Learning Varying Dimension Radial Basis Functions for Deformable Image Alignment', IEEE International Conference on Computer Vision (ICCV 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 344-351.
- Samarasinghe, P, Kennedy, R & Li, H 2009, 'On Non-blind Image Restoration', International Conference on Signal Processing and Communication Systems (ICSPCS 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. 1-7.
- Dai, Y, Li, H, He, M et al 2009, 'Smooth Approximation of L-infinity-Norm for Multi-view Geometry', Digital Image Computing: Techniques and Applications (DICTA 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 339-346.
- Zhang, Y, Wang, L, Hartley, R et al 2009, 'Handling Significant Scale Difference for Object Retrieval in a Supermarket', Digital Image Computing: Techniques and Applications (DICTA 2009), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 468-475.
- Lu, Y, Wang, L, Hartley, R et al 2008, 'Multi-view Human Motion Capture with An Improved Deformation Skin Model', Digital Image Computing: Techniques and Applications (DICTA 2008), ed. A. Robles-Kelly, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, NJ USA, pp. 420-427.
- Shen, C, Li, H & Brooks, M 2008, 'Self-Calibrating Cameras Using Semidefinite Programming', Digital Image Computing: Techniques and Applications (DICTA 2008), ed. A. Robles-Kelly, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, NJ USA, pp. 436-441.
- Li, H, Hartley, R & Kim, J 2008, 'A linear approach to motion estimation using generalized camera models', Computer Vision and Pattern Recognition Conference (CVPR 2008), ed. Linda Shapiro, Narendra Ahuja, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, p. 8.
- Shen, C, Li, H & Brooks, M 2008, 'Supervised dimensionality reduction via sequential semidefinite programming', Pattern Recognition, vol. 41, no. 12, pp. 3644-3652.
- Li, H & Shen, C 2008, 'Interactive color image segmentation with linear programming', Machine Vision and Applications, vol. 21, no. 4, pp. 403-412.
- Kim, J, Li, H & Hartley, R 2008, 'Motion Estimation for Multi-Camera Systems using Global Optimization', Computer Vision and Pattern Recognition Conference (CVPR 2008), ed. Linda Shapiro, Narendra Ahuja, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, p. 8.
- Li, H 2007, 'Two-View Motion Segmentation from Linear Programming Relaxation', Computer Vision and Pattern Recognition Conference (CVPR 2007), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 1-8.
- Li, H 2007, 'A practical algorithm for L triangulation with outliers', Computer Vision and Pattern Recognition Conference (CVPR 2007), ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway USA, pp. 1 - 8.
- Li, H & Hartley, R 2007, 'Conformal spherical representation of 3D genus-zero meshes', Pattern Recognition, vol. 40, no. 10, pp. 2742-2753.
- Shen, C, Li, H & Brooks, M 2007, 'A Convex Programming Approach to the Trace Quotient Problem', Digital Image Computing: Techniques and Applications (DICTA 2007), ed. Murk J Bottema, Anthony Maeder, Nick Redding, Anton van den Hengel, Institute of Electrical and Electronics Engineers (IEEE Inc), Australia, pp. 227-235.
- Wen, Z, Fraser, D, Lambert, A et al 2007, 'Reconstruction of Underwater Image by Bispectrum', IEEE International Conference on Image Processing 2007, ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, p. 4.
- Li, H & Shen, C 2007, 'Object-respecting color image segmentation', IEEE International Conference on Image Processing 2007, ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. 257-260.
- Shen, C, Li, H & Brooks, M 2007, 'Feature Extraction Using Sequential Semidefinite Programming', Digital Image Computing: Techniques and Applications (DICTA 2007), ed. Murk J Bottema, Anthony Maeder, Nick Redding, Anton van den Hengel, Institute of Electrical and Electronics Engineers (IEEE Inc), Australia, p. 8.
- Zhang, Y, Wang, L, Hartley, R et al 2007, 'Where's the Weet-Bix?', Asian Conference on Computer Vision (ACCV 2007), ed. Yasushi Yagi, Sing Bing Kang, In-So Kweon, Hongbin Zha, Springer, Berlin, Germany, pp. 800-810.
- Li, H, Shen, C & Wen, Z 2007, 'Color Image Labelling Using Linear Programming', Digital Image Computing: Techniques and Applications (DICTA 2007), ed. Murk J Bottema, Anthony Maeder, Nick Redding, Anton van den Hengel, Institute of Electrical and Electronics Engineers (IEEE Inc), Australia, p. 6.
- Li, H & Hartley, R 2007, 'The 3D-3D registration problem revisited', IEEE International Conference on Computer Vision (ICCV 2007), ed. A. Elgammal et al., Institute of Electrical and Electronics Engineers (IEEE Inc), Berlin Germany, p. 8.
- Lu, F & Li, H 2007, 'KLDA - An Iterative Approach to Fisher Discriminant Analysis', IEEE International Conference on Image Processing 2007, ed. Conference Program Committee, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. 201-204.
- Wang, L, Li, H & Hartley, R 2006, 'Video Local Pattern based Image Matching for Visual Mapping', International Conference on Pattern Recognition (ICPR 2006), ed. Bob Werner, Institute of Electrical and Electronics Engineers (IEEE Inc), Los Alamitos US, pp. 67 - 70.
- Li, H & Hartley, R 2006, 'Five-Point Motion Estimation Made Easy', International Conference on Pattern Recognition (ICPR 2006), ed. Bob Werner, Institute of Electrical and Electronics Engineers (IEEE Inc), Los Alamitos US, pp. 630-633.
- Li, H & Hartley, R 2006, 'New 3D Fourier Descriptors for Genus-Zero Mesh Objects', Asian Conference on Computer Vision (ACCV 2006), ed. P.J. Narajanan, Shree K. Nayar and Heung-Yeung Shum, Springer, Berlin, Germany, pp. 734-743.
- Li, H & Hartley, R 2006, 'Plane-Based Calibration and Auto-calibration of a Fish-Eye Camera', Asian Conference on Computer Vision (ACCV 2006), ed. P.J. Narajanan, Shree K. Nayar and Heung-Yeung Shum, Springer, Berlin, Germany, pp. 21-30.
- Li, H & Shen, C 2006, 'An LMI approach for reliable PTZ self-calibration', IEEE International Conference on Video and Signal Based Surveillance (AVSS 2006), ed. M. Piccardi, T. Hintz, I. Pavlidis, C. Regazzoni, X. He, Institute of Electrical and Electronics Engineers (IEEE Inc), Sydney, p. 6.
- Li, H & Hartley, R 2006, 'Inverse tensor transfer with applications to novel view synthesis and multi-baseline stereo', Signal Processing, vol. 21, pp. 724-738.
- Shen, C, Li, H & Brooks, M 2006, 'Classification-based likelihood functions for Bayesian tracking', IEEE International Conference on Video and Signal Based Surveillance (AVSS 2006), ed. M. Piccardi, T. Hintz, I. Pavlidis, C. Regazzoni, X. He, Institute of Electrical and Electronics Engineers (IEEE Inc), Sydney, pp. 1-5.
- Li, H 2006, 'A simple solution to the six-point two-view focal-length problem', European Conference on Computer Vision (ECCV 2006), ed. Ales Leonardis, Horst Bischof, Axel Pinz, Springer, Berlin, Germany, pp. 200-213.
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- Zhu, B & Li, H 2005, 'Image Completion from Low-level Learning', Digital Image Computing: Techniques and Applications (DICTA 2005), ed. Brian Lovell, Anthony Maeder, Terry Caelli, Sebastien Ourselin, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, USA, pp. 1-7.
- Li, H & Hartley, R 2005, 'A non-iterative method for lens distortion correction from nine point correspondences', IEEE International Conference on Computer Vision (ICCV 2005), ed. Bob Werner, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, p. 8.
- Li, H & Hartley, R 2005, 'Feature Matching and Pose Estimation Using Newton Iteration', International Conference on Image Analysis and Processing 2005, ed. Fabio Roli, Segio Vitulano, Springer, Germany, pp. 196-203.
- Li, H & Hartley, R 2005, 'Inverse tensor transfer for novel view synthesis', IEEE International Conference on Image Processing 2005, ed. Moncef Gabbou, Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. II-97-II-100.
- Li, H & Hartley, R 2005, 'Rectification-Free Multibaseline Stereo for Non-ideal Configurations', International Conference on Image Analysis and Processing 2005, ed. Fabio Roli, Segio Vitulano, Springer, Germany, pp. 811-817.
- Li, H, Hartley, R & Burkhardt, H 2005, 'Discrete Conformal Shape Representation and Reconstruction of 3D Mesh Objects', International Conference on Image Analysis and Processing 2005, ed. Fabio Roli, Segio Vitulano, Springer, Germany, pp. 535-542.
- Burkhardt, H, Reisert, M & Li, H 2004, 'Invariants for discrete structures - An extension of Haar Integrals over transformation groups to Dirac delta functions', Pattern Recognition Symposium (DAGM 2004), ed. C.E. Rasmussen, H. H. Bülthoff, M. A. Giese, B.Schölkopf, Springer, Germany, p. 8.
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Projects and Grants
Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.
- Next Generation Graduates Program - AI Enabled Advanced Materials Technology (Secondary Investigator)
- Two-way Auslan: Automatic Machine Translation of Australian Sign Language (Primary Investigator)
- Medicago Project Phase-2 (Secondary Investigator)
- Data61 Scholarship Agreement Jinguang Tong (Primary Investigator)
- CECS ANU Optus Bushfire Project: Tower Camera based Video Analytics for Early Bushfire Detection (Secondary Investigator)
- Aerial Imagery based Localization for Autonomous Vehicles (Primary Investigator)
- Hierarchical Manifold Discovery for Ensemble One-Class Classifiers (Primary Investigator)
- Spatial CCTV (Primary Investigator)
- A world-class machine learning facility for Australia (Secondary Investigator)
- Leveraging 3D Computer Vision for Camera-based Precise Geo-Localisation (Primary Investigator)
- New methods for Computer Vision based Low-Cost Mobile 3D Mapping and Map Update for Autonomous Driving (Primary Investigator)
- Stereo-vision based geographical localisation in urban environment: algorithm research and software development (Primary Investigator)
- Detailed 3D Reconstruction of Static and Dynamic Scenes from Multi-Camera Systems (Primary Investigator)
- Centre of Excellence in Robotic Vision (CRV) (Secondary Investigator)
- Hybrid optimization for automatic large-scale video annotation (Secondary Investigator)
- Structure-without-motion: large-scale 3D reconstruction from distributed and unorganized images (Primary Investigator)
- Optimization methods in Computer Vision Problems/Computer Vision and Optimization on Manifolds(linked to ARIES 25673) (Secondary Investigator)
- Generic content-based news picture retrieval with local invariant features (Secondary Investigator)
- Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces (Secondary Investigator)