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20232026
most citedPointMamba: A Simple State Space Model for Point Cloud Analysis

22 citations · 30 across the 20 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 2 cited

MINIMA: Modality Invariant Image Matching

Jiangwei Ren, Xingyu Jiang, Zizhuo Li +3

Image matching for both cross-view and cross-modality plays a critical role in multimodal perception. In practice, the modality gap caused by different imaging systems/styles poses…

cs.CV2024★ 2 cited

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning

Dingkang Liang, Tianrui Feng, Xin Zhou +3

Recently, leveraging pre-training techniques to enhance point cloud models has become a prominent research topic. However, existing approaches typically require full fine-tuning of…

cs.CV2024★ 2 cited

Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation

Liu He, Yizhi Song, Hejun Huang +4

Text-to-video generation has been dominated by diffusion-based or autoregressive models. These novel models provide plausible versatility, but are criticized for improper physical…

cs.CV2024★ 1 cited

A Unified Framework for 3D Scene Understanding

Wei Xu, Chunsheng Shi, Sifan Tu +3

We propose UniSeg3D, a unified 3D scene understanding framework that achieves panoptic, semantic, instance, interactive, referring, and open-vocabulary segmentation tasks within a…

cs.CV2024★ 1 cited

Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis

Xin Zhou, Dingkang Liang, Wei Xu +4

Point cloud analysis has achieved outstanding performance by transferring point cloud pre-trained models. However, existing methods for model adaptation usually update all model pa…

cs.CV2024★ 22 cited

PointMamba: A Simple State Space Model for Point Cloud Analysis

Dingkang Liang, Xin Zhou, Wei Xu +5

Transformers have become one of the foundational architectures in point cloud analysis tasks due to their excellent global modeling ability. However, the attention mechanism has qu…