Share This Author
FABRIK: A fast, iterative solver for the Inverse Kinematics problem
New least squares solutions for estimating the average centre of rotation and the axis of rotation.
Unsupervised Point Cloud Pre-training via Occlusion Completion
- Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner
- Computer ScienceIEEE/CVF International Conference on Computer…
- 2 October 2020
This paper shows that this method outperforms previous pre-training methods in object classification, and both part-based and semantic segmentation tasks, and even when it pre-train on a single dataset (ModelNet40), improves accuracy across different datasets and encoders.
Inverse Kinematics Techniques in Computer Graphics: A Survey
- A. Aristidou, Joan Lasenby, Y. Chrysanthou, Ariel Shamir
- MathematicsComput. Graph. Forum
- 1 September 2018
This survey presents a comprehensive review of the IK problem and the solutions developed over the years from the computer graphics point of view, and suggests which IK family of solvers is best suited for particular problems.
High angular resolution submillimeter observations of Sagittarius B2
Continuum observations of the Sgr B2 molecular cloud have been carried out. The data offer the first detailed description of the submillimeter radiation from this complex source. The emission is…
The unreasonable effectiveness of the forget gate
This work shows that a forget-gate-only version of the LSTM with chrono-initialized biases, not only provides computational savings but outperforms the standard L STM on multiple benchmark datasets and competes with some of the best contemporary models.
ChESS - Quick and robust detection of chess-board features
Inverse kinematics: a review of existing techniques and introduction of a new fast iterative solver
This report reviews and compares the most popular IK methods regarding reliability, computational cost and conversion criteria, with a novel heuristic and iterative method, called Forward And Backward Reaching Inverse Kinematics (FABRIK).
Section model tests on human – structure lock-in
In June/July 2000, shortly after the opening of the London Millennium Bridge, experiments were undertaken on a full-scale section model built to represent a footbridge swaying under pedestrian…
Pre-training Molecular Graph Representation with 3D Geometry
- Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
- Computer ScienceArXiv
- 7 October 2021
The Graph Multi-View Pre-training (GraphMVP) framework where self-supervised learning (SSL) is performed by leveraging the correspondence and consistency between 2D topological structures and 3D geometric views, effectively learns a 2D molecular graph encoder that is enhanced by richer and more discriminative 3D geometry.