Search Results for author: Panqu Wang

Found 13 papers, 5 papers with code

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

no code implementations21 Mar 2023 Zixiang Zhou, Dongqiangzi Ye, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

The proposed LiDARFormer utilizes cross-space global contextual feature information and exploits cross-task synergy to boost the performance of LiDAR perception tasks across multiple large-scale datasets and benchmarks.

Decoder Multi-Task Learning +2

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

no code implementations4 Jan 2023 Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng

We propose a novel approach for monocular 3D object detection by leveraging local perspective effects of each object.

Monocular 3D Object Detection Object +2

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

no code implementations19 Sep 2022 Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

LidarMultiNet is extensively tested on both Waymo Open Dataset and nuScenes dataset, demonstrating for the first time that major LiDAR perception tasks can be unified in a single strong network that is trained end-to-end and achieves state-of-the-art performance.

3D Object Detection 3D Semantic Segmentation +3

ES-Net: An Efficient Stereo Matching Network

1 code implementation5 Mar 2021 Zhengyu Huang, Theodore B. Norris, Panqu Wang

Dense stereo matching with deep neural networks is of great interest to the research community.

Autonomous Driving Scheduling +3

Grid-GCN for Fast and Scalable Point Cloud Learning

1 code implementation CVPR 2020 Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann

Compared with popular sampling methods such as Farthest Point Sampling (FPS) and Ball Query, CAGQ achieves up to 50X speed-up.

Point Cloud Classification

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

2 code implementations CVPR 2019 Xiuye Gu, Yijie Wang, Chongruo wu, Yong-Jae lee, Panqu Wang

We present a novel deep neural network architecture for end-to-end scene flow estimation that directly operates on large-scale 3D point clouds.

Scene Flow Estimation

Understanding Convolution for Semantic Segmentation

5 code implementations27 Feb 2017 Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell

This framework 1) effectively enlarges the receptive fields (RF) of the network to aggregate global information; 2) alleviates what we call the "gridding issue" caused by the standard dilated convolution operation.

Segmentation Semantic Segmentation +1

Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration

no code implementations26 Apr 2016 Panqu Wang, Isabel Gauthier, Garrison Cottrell

Our results show that, as in the behavioral data, the correlation between subordinate level face and object recognition accuracy increases as experience grows.

Object Recognition

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

no code implementations25 Apr 2016 Panqu Wang, Garrison Cottrell

Our results suggest that the relative order of importance of using central visual field information is face recognition>object recognition>scene recognition, and vice-versa for peripheral information.

Face Recognition Object Recognition +1

Basic Level Categorization Facilitates Visual Object Recognition

no code implementations12 Nov 2015 Panqu Wang, Garrison W. Cottrell

We instantiate this idea by training a deep CNN to perform basic level object categorization first, and then train it on subordinate level categorization.

Object Object Categorization +2

Suspicious Object Recognition Method in Video Stream Based on Visual Attention

no code implementations23 Aug 2013 Panqu Wang, Yan Zhang

Bottom up and top down attention are applied respectively in the process of acquiring interested object(saliency map) and object recognition.

Object Object Recognition

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