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20212025
most citedInternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

42 citations · 197 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

ImagineMap: Enhanced HD Map Construction with SD Maps

Yishen Ji, Zhiqi Li, Tong Lu

Track Mapless demands models to process multi-view images and Standard-Definition (SD) maps, outputting lane and traffic element perceptions along with their topological relationsh…

cs.CV2024

Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024

Jiahan Li, Zhiqi Li, Tong Lu

This technical report describes the methods we employed for the Driving with Language track of the CVPR 2024 Autonomous Grand Challenge. We utilized a powerful open-source multimod…

cs.CV2024★ 3 cited

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Zhenxin Li, Kailin Li, Shihao Wang +9

We propose Hydra-MDP, a novel paradigm employing multiple teachers in a teacher-student model. This approach uses knowledge distillation from both human and rule-based teachers to…

cs.CV2024★ 19 cited

Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Guo Chen, Yifei Huang, Jilan Xu +7

Understanding videos is one of the fundamental directions in computer vision research, with extensive efforts dedicated to exploring various architectures such as RNN, 3D CNN, and…

cs.CV2024★ 9 cited

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Yuwen Xiong, Zhiqi Li, Yuntao Chen +10

We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of i…