551 citations · 679 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Yang Zhang, Philip David, Hassan Foroosh +1
During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous…
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang, Philip David, Boqing Gong
During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous…
Infinite-Label Learning with Semantic Output Codes
Yang Zhang, Rupam Acharyya, Ji Liu +1
We develop a new statistical machine learning paradigm, named infinite-label learning, to annotate a data point with more than one relevant labels from a candidate set, which pools…
Fast Zero-Shot Image Tagging
Yang Zhang, Boqing Gong, Mubarak Shah
The well-known word analogy experiments show that the recent word vectors capture fine-grained linguistic regularities in words by linear vector offsets, but it is unclear how well…