144 citations · 648 across the 63 of their papers we have counts for
9 papers · 2 filters
Neural Image Compression Using Masked Sparse Visual Representation
Wei Jiang, Wei Wang, Yue Chen
We study neural image compression based on the Sparse Visual Representation (SVR), where images are embedded into a discrete latent space spanned by learned visual codebooks. By sh…
Region Generation and Assessment Network for Occluded Person Re-Identification
Shuting He, Weihua Chen, Kai Wang +4
Person Re-identification (ReID) plays a more and more crucial role in recent years with a wide range of applications. Existing ReID methods are suffering from the challenges of mis…
Exploring the Physical World Adversarial Robustness of Vehicle Detection
Wei Jiang, Tianyuan Zhang, Shuangcheng Liu +3
Adversarial attacks can compromise the robustness of real-world detection models. However, evaluating these models under real-world conditions poses challenges due to resource-inte…
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
Shuting He, Henghui Ding, Wei Jiang
We study universal zero-shot segmentation in this work to achieve panoptic, instance, and semantic segmentation for novel categories without any training samples. Such zero-shot se…
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation
Shuting He, Xudong Jiang, Wei Jiang +1
In this work, we address the challenging task of few-shot and zero-shot 3D point cloud semantic segmentation. The success of few-shot semantic segmentation in 2D computer vision is…
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
Shuting He, Henghui Ding, Wei Jiang
Zero-shot instance segmentation aims to detect and precisely segment objects of unseen categories without any training samples. Since the model is trained on seen categories, there…