Haitao Meng

According to our database, Haitao Meng authored at least 19 papers between 2006 and 2024.

Collaborative distances:

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

2024

Efficient 3D Object Detection Based on Pseudo-LiDAR Representation.

Haitao Meng, Changcai Li, Gang Chen, Long Cheng, Alois Knoll

IEEE Trans. Intell. Veh., January, 2024

2023

A robust and real-time DNN-based multi-baseline stereo accelerator in FPGAs.

Yu Zhang, Yi Zheng, Yehua Ling, Haitao Meng, Gang Chen

J. Syst. Archit., October, 2023

FastFusion: Deep stereo-LiDAR fusion for real-time high-precision dense depth sensing.

Haitao Meng, Changcai Li, Chonghao Zhong, Jianfeng Gu, Gang Chen, Alois Knoll

J. Field Robotics, October, 2023

Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks.

Wenwei Lin, Chonghao Zhong, Xunpei Sun, Haitao Meng, Gang Chen, Biao Hu, Zonghua Gu

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

FastOmniMVS: Real-time Omnidirectional Depth Estimation from Multiview Fisheye Images.

Yushen Wang, Yang Yang, Jiaxi Deng, Haitao Meng, Gang Chen

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

ER3D: An Efficient Real-time 3D Object Detection Framework for Autonomous Driving.

Haitao Meng, Changcai Li, Gang Chen, Zonghua Gu, Alois Knoll

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Lite-Stereo: A Resource-Efficient Hardware Accelerator for Real-Time High-Quality Stereo Estimation Using Binary Neural Network.

Yehua Ling, Tao He, Yu Zhang, Haitao Meng, Kai Huang, Gang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm.

Haitao Meng, Hengrui Zhang

J. Circuits Syst. Comput., 2022

Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?

Haitao Meng, Changcai Li, Gang Chen, Alois C. Knoll

CoRR, 2022

Real-time Pseudo-LiDAR 3D object detection with geometric constraints.

Changcai Li, Haitao Meng, Gang Chen, Long Cheng

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Hardware accelerator for an accurate local stereo matching algorithm using binary neural network.

Yehua Ling, Tao He, Haitao Meng, Yu Zhang, Gang Chen

J. Syst. Archit., 2021

An efficient GPU-accelerated inference engine for binary neural network on mobile phones.

Shengyu He, Haitao Meng, Zhaoheng Zhou, Yongjun Liu, Kai Huang, Gang Chen

J. Syst. Archit., 2021

A GPU -accelerated Deep Stereo- LiDAR Fusion for Real-time High-precision Dense Depth Sensing.

Haitao Meng, Chonghao Zhong, Jianfeng Gu, Gang Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

GPU-Accelerated Real-Time Stereo Estimation With Binary Neural Network.

Gang Chen, Haitao Meng, Yucheng Liang, Kai Huang

IEEE Trans. Parallel Distributed Syst., 2020

StereoEngine: An FPGA-Based Accelerator for Real-Time High-Quality Stereo Estimation With Binary Neural Network.

Gang Chen, Yehua Ling, Tao He, Haitao Meng, Shengyu He, Yu Zhang, Kai Huang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones.

Gang Chen, Shengyu He, Haitao Meng, Kai Huang

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Spatio-Temporal LSTM with Aggregated Feature Learning for Human Action Recognition.

Gang Chen, Qingqing Meng, Yongjun Liu, Haitao Meng

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

2012

A preliminary research on security issues in ip Multimedia Subsystem.

Haitao Meng

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2006

A Flexible Algorithm for Extracting Periodic Signals.

Zhi-Lin Zhang, Haitao Meng

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006