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20242026
most citedLION: Linear Group RNN for 3D Object Detection in Point Clouds

6 citations · 6 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models

Zhe Liu, Jinghua Hou, Yuxiang Lu +7

Vision-Language-Action (VLA) models have demonstrated effectiveness in robot manipulation, yet state-of-the-art models such as pi0.5 operate under a single-frame paradigm, limiting…

cs.CV2026

Metis: A Generalizable and Efficient World-Action Model for Autonomous Driving and Urban Navigation

Jingyu Li, Zhe Liu, Dongnan Hu +10

World action models~(WAMs) have shown great promise for autonomous driving and urban navigation. Built upon Vision-Language-Action models or video generation models, existing appro…

cs.CV2025

UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs

Zhe Liu, Jinghua Hou, Xiaoqing Ye +3

Although transformers have demonstrated remarkable capabilities across various domains, their quadratic attention mechanisms introduce significant computational overhead when proce…

cs.CV2025

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation

Xinyu Wang, Jinghua Hou, Zhe Liu +1

Transformer-based methods have demonstrated remarkable capabilities in 3D semantic segmentation through their powerful attention mechanisms, but the quadratic complexity limits the…

cs.CV2024★ 6 cited

LION: Linear Group RNN for 3D Object Detection in Point Clouds

Zhe Liu, Jinghua Hou, Xinyu Wang +4

The benefit of transformers in large-scale 3D point cloud perception tasks, such as 3D object detection, is limited by their quadratic computation cost when modeling long-range rel…

cs.CV2024

OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection

Jinghua Hou, Tong Wang, Xiaoqing Ye +6

Accurate depth information is crucial for enhancing the performance of multi-view 3D object detection. Despite the success of some existing multi-view 3D detectors utilizing pixel-…

cs.CV2024

SEED: A Simple and Effective 3D DETR in Point Clouds

Zhe Liu, Jinghua Hou, Xiaoqing Ye +3

Recently, detection transformers (DETRs) have gradually taken a dominant position in 2D detection thanks to their elegant framework. However, DETR-based detectors for 3D point clou…