39 citations · 41 across the 9 of their papers we have counts for
9 papers
Focus on BEV: Self-calibrated Cycle View Transformation for Monocular Birds-Eye-View Segmentation
Jiawei Zhao, Qixing Jiang, Xuede Li +1
Birds-Eye-View (BEV) segmentation aims to establish a spatial mapping from the perspective view to the top view and estimate the semantic maps from monocular images. Recent studies…
Text2Street: Controllable Text-to-image Generation for Street Views
Jinming Su, Songen Gu, Yiting Duan +2
Text-to-image generation has made remarkable progress with the emergence of diffusion models. However, it is still a difficult task to generate images for street views based on tex…
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
Jinming Su, Wangwang Yang, Junfeng Luo +1
In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution. In our solution, we regard the video…
Perceive, Excavate and Purify: A Novel Object Mining Framework for Instance Segmentation
Jinming Su, Ruihong Yin, Xingyue Chen +1
Recently, instance segmentation has made great progress with the rapid development of deep neural networks. However, there still exist two main challenges including discovering ind…
Motion-state Alignment for Video Semantic Segmentation
Jinming Su, Ruihong Yin, Shuaibin Zhang +1
In recent years, video semantic segmentation has made great progress with advanced deep neural networks. However, there still exist two main challenges \ie, information inconsisten…
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation
Wangwang Yang, Jinming Su, Yiting Duan +2
Video object segmentation (VOS) has made significant progress with the rise of deep learning. However, there still exist some thorny problems, for example, similar objects are easi…
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
Junwei Yang, Ke Zhang, Zhaolin Cui +3
Feature representation via self-supervised learning has reached remarkable success in image-level contrastive learning, which brings impressive performances on image classification…
Structure Guided Lane Detection
Jinming Su, Chao Chen, Ke Zhang +3
Recently, lane detection has made great progress with the rapid development of deep neural networks and autonomous driving. However, there exist three mainly problems including cha…
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang +4
BiSeNet has been proved to be a popular two-stream network for real-time segmentation. However, its principle of adding an extra path to encode spatial information is time-consumin…