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20172024
most citedPolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

31 citations · 133 across the 25 of their papers we have counts for

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24 papers · 1 filter

cs.CV202210 cited

CenterFormer: Center-based Transformer for 3D Object Detection

Zixiang Zhou, Xiangchen Zhao, Yu Wang +2

Query-based transformer has shown great potential in constructing long-range attention in many image-domain tasks, but has rarely been considered in LiDAR-based 3D object detection…

cs.CV20228 cited

Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets

Sumit Laha, Ankit Sharma, Shengnan Hu +1

We propose a fusion algorithm for haze removal that combines color information from an RGB image and edge information extracted from its corresponding NIR image using Haar wavelets…

cs.CV202110 cited

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Zixiang Zhou, Yang Zhang, Hassan Foroosh

Panoptic segmentation presents a new challenge in exploiting the merits of both detection and segmentation, with the aim of unifying instance segmentation and semantic segmentation…

cs.CV20202 cited

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection

Shengnan Hu, Yang Zhang, Sumit Laha +2

Deep neural network based object detection hasbecome the cornerstone of many real-world applications. Alongwith this success comes concerns about its vulnerability tomalicious atta…

cs.CV202031 cited

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

Yang Zhang, Zixiang Zhou, Philip David +4

The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR. Despite the eme…

cs.CV20198 cited

Self-Attention Network for Skeleton-based Human Action Recognition

Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu +1

Skeleton-based action recognition has recently attracted a lot of attention. Researchers are coming up with new approaches for extracting spatio-temporal relations and making consi…