4 citations · 7 across the 8 of their papers we have counts for
8 papers
InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis
Jiawei Wang, Hao Yu, Yongzhen Hu +7
Single-image feed-forward 3D Gaussian Splatting (3DGS) aims to directly generate a renderable 3D scene representation from one input image, avoiding the cost of multi-view capture…
LADY: Linear Attention for Autonomous Driving Efficiency without Transformers
Jihao Huang, Xi Xia, Zhiyuan Li +4
End-to-end autonomous driving has emerged as a promising paradigm. However, state-of-the-art methods rely heavily on Transformer architectures. The inherent quadratic complexity of…
RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding
Hang Ji, Tao Ni, Xufeng Huang +4
This technical report introduces a targeted improvement to the StreamPETR framework, specifically aimed at enhancing velocity estimation, a critical factor influencing the overall…
UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised
Tao Ni, Xin Zhan, Tao Luo +3
Road segmentation is a critical task for autonomous driving systems, requiring accurate and robust methods to classify road surfaces from various environmental data. Our work intro…
MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers
Zichao Dong, Yilin Zhang, Xufeng Huang +4
We introduce a novel MV-DETR pipeline which is effective while efficient transformer based detection method. Given input RGBD data, we notice that there are super strong pretrainin…
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue
Zichao Dong, Bowen Pang, Xufeng Huang +3
Multi-modality fusion is proven an effective method for 3d perception for autonomous driving. However, most current multi-modality fusion pipelines for LiDAR semantic segmentation…
PeP: a Point enhanced Painting method for unified point cloud tasks
Zichao Dong, Hang Ji, Xufeng Huang +3
Point encoder is of vital importance for point cloud recognition. As the very beginning step of whole model pipeline, adding features from diverse sources and providing stronger fe…
HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks
Zichao Dong, Weikun Zhang, Xufeng Huang +3
Human robot interaction is an exciting task, which aimed to guide robots following instructions from human. Since huge gap lies between human natural language and machine codes, en…