activity
20032023
most citedTwo-Dimensional Itinerant Ising Ferromagnetism in Atomically thin Fe3GeTe2

1.5k citations · 5.1k across the 168 of their papers we have counts for

collaborators
Showing cs.CVShow all

23 papers · 1 filter

cs.CV2023

Robust Backdoor Attacks on Object Detection in Real World

Yaguan Qian, Boyuan Ji, Shuke He +4

Deep learning models are widely deployed in many applications, such as object detection in various security fields. However, these models are vulnerable to backdoor attacks. Most b…

cs.CV2023★ 1 cited

DALNet: A Rail Detection Network Based on Dynamic Anchor Line

Zichen Yu, Quanli Liu, Wei Wang +2

Rail detection is one of the key factors for intelligent train. In the paper, motivated by the anchor line-based lane detection methods, we propose a rail detection network called…

cs.CV2023★ 13 cited

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

Weiyun Wang, Min Shi, Qingyun Li +11

We present the All-Seeing (AS) project: a large-scale data and model for recognizing and understanding everything in the open world. Using a scalable data engine that incorporates…

cs.CV2023

D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field

Xueting Yang, Yihao Luo, Yuliang Xiu +3

Realistic virtual humans play a crucial role in numerous industries, such as metaverse, intelligent healthcare, and self-driving simulation. But creating them on a large scale with…

cs.CV2023★ 5 cited

Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration

Liyan Wang, Qinyu Yang, Cong Wang +3

Recent years have witnessed the remarkable performance of diffusion models in various vision tasks. However, for image restoration that aims to recover clear images with sharper de…

cs.CV2023★ 8 cited

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling

Zeqiang Lai, Yuchen Duan, Jifeng Dai +5

The evolution of semantic segmentation has long been dominated by learning more discriminative image representations for classifying each pixel. Despite the prominent advancements,…