Kelvin Wong

According to our database, Kelvin Wong authored at least 26 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them.

Chao Liu, Boxi Chen, Wei Shao, Chris Zhang, Kelvin Wong, Yi Zhang

CoRR, 2024

SceneControl: Diffusion for Controllable Traffic Scene Generation.

Jack Lu, Kelvin Wong, Chris Zhang, Simon Suo, Raquel Urtasun

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning to Drive via Asymmetric Self-Play.

Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting.

Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation.

Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Realistic Traffic Agents in Closed-loop.

Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

Towards Scalable Coverage-Based Testing of Autonomous Vehicles.

James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

2022

ParallelDualSPHysics: supporting efficient parallel fluid simulations through MPI-enabled SPH method.

Sifan Long, Xiaowei Guo, Xiaokang Fan, Chao Li, Kelvin Wong, Ran Zhao, Yi Liu, Sen Zhang, Canqun Yang

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Mapping for Autonomous Driving: Opportunities and Challenges.

Kelvin Wong, Yanlei Gu, Shunsuke Kamijo

IEEE Intell. Transp. Syst. Mag., 2021

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving.

Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun

CoRR, 2021

Simultaneous visibility representations of undirected pairs of graphs.

Ben Chugg, William S. Evans, Kelvin Wong

Comput. Geom., 2021

SceneGen: Learning To Generate Realistic Traffic Scenes.

Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Illumination-Invariant Feature Point Detection Based on Neighborhood Information.

Ruiping Wang, Liangcai Zeng, Shiqian Wu, Wei Cao, Kelvin Wong

Sensors, 2020

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models.

Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction.

Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World.

Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression.

Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An LSTM-Method-Based Availability Prediction for Optimized Offloading in Mobile Edges.

Chaoxiong Cui, Ming Zhao, Kelvin Wong

Sensors, 2019

Estimating Autonomous Vehicle Localization Error Using 2D Geographic Information.

Kelvin Wong, Ehsan Javanmardi, Mahdi Javanmardi, Shunsuke Kamijo

ISPRS Int. J. Geo Inf., 2019

Deformable Filter Convolution for Point Cloud Reasoning.

Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun

CoRR, 2019

Evaluating the Capability of OpenStreetMap for Estimating Vehicle Localization Error.

Kelvin Wong, Ehsan Javanmardi, Mahdi Javanmardi, Yanlei Gu, Shunsuke Kamijo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Classifying Human Activity and Smartphone Holding Mode Using Accelerometer and Gyroscope.

Kazuki Motani, Kelvin Wong, Shunsuke Kamijo

Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

Identifying Unknown Instances for Autonomous Driving.

Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Road Scene Risk Perception for Intelligent Vehicles Using End-to-End Affordance Learning and Visual Reasoning.

Jayani Withanawasam, Ehsan Javanmardi, Kelvin Wong, Mahdi Javanmardi, Shunsuke Kamijo

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Towards a national 3D mapping product for Great Britain.

Kelvin Wong

PhD thesis, 2018

2010

Accurate Vascular Delay Estimation from Low-Temporal Resolution Image Data Set [Life Sciences].

Kelvin Wong, Chi-Pan Tam, Michael K. Ng

IEEE Signal Process. Mag., 2010