17 citations · 26 across the 7 of their papers we have counts for
7 papers · 1 filter
VLM-Eval: A General Evaluation on Video Large Language Models
Shuailin Li, Yuang Zhang, Yucheng Zhao +4
Despite the rapid development of video Large Language Models (LLMs), a comprehensive evaluation is still absent. In this paper, we introduce a unified evaluation that encompasses m…
Far3D: Expanding the Horizon for Surround-view 3D Object Detection
Xiaohui Jiang, Shuailin Li, Yingfei Liu +5
Recently 3D object detection from surround-view images has made notable advancements with its low deployment cost. However, most works have primarily focused on close perception ra…
The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
Dongming Wu, Fan Jia, Jiahao Chang +7
We present the 1st-place solution of OpenLane Topology in Autonomous Driving Challenge. Considering that topology reasoning is based on centerline detection and traffic element det…
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
Junjie Yan, Yingfei Liu, Jianjian Sun +4
In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection. Without explicit view transformation, CMT takes the im…
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Yingfei Liu, Junjie Yan, Fan Jia +5
In this paper, we propose PETRv2, a unified framework for 3D perception from multi-view images. Based on PETR, PETRv2 explores the effectiveness of temporal modeling, which utilize…
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
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. Most existing methods neglect th…
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Qian He, Shuailin Li, Xuming He
Weakly supervised segmentation is an important problem in medical image analysis due to the high cost of pixelwise annotation. Prior methods, while often focusing on weak labels of…