no code implementations • 20 Nov 2023 • Shuailin Li, Yuang Zhang, Yucheng Zhao, Qiuyue Wang, Fan Jia, Yingfei Liu, Tiancai Wang
Despite the rapid development of video Large Language Models (LLMs), a comprehensive evaluation is still absent.
1 code implementation • 18 Aug 2023 • Xiaohui Jiang, Shuailin Li, Yingfei Liu, Shihao Wang, Fan Jia, Tiancai Wang, Lijin Han, Xiangyu Zhang
Recently 3D object detection from surround-view images has made notable advancements with its low deployment cost.
Ranked #1 on 3D Object Detection on nuScenes Camera Only
1 code implementation • 16 Jun 2023 • Dongming Wu, Fan Jia, Jiahao Chang, Zhuoling Li, Jianjian Sun, Chunrui Han, Shuailin Li, Yingfei Liu, Zheng Ge, Tiancai Wang
We present the 1st-place solution of OpenLane Topology in Autonomous Driving Challenge.
2 code implementations • ICCV 2023 • Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, Xiangyu Zhang
In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection.
1 code implementation • ICCV 2023 • Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, Xiangyu Zhang, Jian Sun
More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.
Ranked #2 on Bird's-Eye View Semantic Segmentation on nuScenes (IoU lane - 224x480 - 100x100 at 0.5 metric)
1 code implementation • 21 Jul 2021 • Shuailin Li, Zhitong Gao, Xuming He
Learning segmentation from noisy labels is an important task for medical image analysis due to the difficulty in acquiring highquality annotations.
1 code implementation • 27 Apr 2021 • Qian He, Shuailin Li, Xuming He
Moreover, we introduce a weak annotation scheme with a hybrid label design for volumetric images, which improves model learning without increasing the overall annotation cost.
4 code implementations • 21 Jul 2020 • Shuailin Li, Chuyu Zhang, Xuming He
Semi-supervised learning has attracted much attention in medical image segmentation due to challenges in acquiring pixel-wise image annotations, which is a crucial step for building high-performance deep learning methods.