Panqu Wang

According to our database, Panqu Wang authored at least 17 papers between 2013 and 2023.

Collaborative distances:

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

2023

LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception.

Zixiang Zhou, Dongqiangzi Ye, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

CoRR, 2023

MonoEdge: Monocular 3D Object Detection Using Local Perspectives.

Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception.

Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network.

Dongqiangzi Ye, Weijia Chen, Zixiang Zhou, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

CoRR, 2022

CenterFormer: Center-Based Transformer for 3D Object Detection.

Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

ES-Net: An Efficient Stereo Matching Network.

Zhengyu Huang, Theodore B. Norris, Panqu Wang

CoRR, 2021

2020

Grid-GCN for Fast and Scalable Point Cloud Learning.

Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann

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

2019

HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds.

Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Understanding Convolution for Semantic Segmentation.

Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Towards The Deep Model: Understanding Visual Recognition Through Computational Models.

Panqu Wang

PhD thesis, 2017

2016

Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration.

Panqu Wang, Isabel Gauthier, Garrison W. Cottrell

J. Cogn. Neurosci., 2016

Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition.

Panqu Wang, Garrison W. Cottrell

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Basic Level Categorization Facilitates Visual Object Recognition.

Panqu Wang, Garrison W. Cottrell

CoRR, 2015

Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.

Panqu Wang, Garrison W. Cottrell, Christopher Kanan

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Experience Matters: Modeling the Relationship Between Face and Object Recognition.

Panqu Wang, Isabel Gauthier, Garrison W. Cottrell

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Suspicious Object Recognition Method in Video Stream Based on Visual Attention.

Panqu Wang, Yan Zhang

CoRR, 2013

A Computational Model of the Development of Hemispheric Asymmetry of Face Processing.

Panqu Wang, Garrison W. Cottrell

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013