most citedGenerative Category-Level Shape and Pose Estimation with Semantic Primitives

10 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses

Junjie Ni, Guofeng Zhang, Guanglin Li +4

We tackle the efficiency problem of learning local feature matching. Recent advancements have given rise to purely CNN-based and transformer-based approaches, each augmented with d…

cs.CV2024

BlinkTrack: Feature Tracking over 80 FPS via Events and Images

Yichen Shen, Yijin Li, Shuo Chen +5

Event cameras, known for their high temporal resolution and ability to capture asynchronous changes, have gained significant attention for their potential in feature tracking, espe…

cs.CV2024

NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding

Hongjia Zhai, Gan Huang, Qirui Hu +3

In recent years, the paradigm of neural implicit representations has gained substantial attention in the field of Simultaneous Localization and Mapping (SLAM). However, a notable g…

cs.CV2024

CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field

Jiarui Hu, Xianhao Chen, Boyin Feng +5

Recently neural radiance fields (NeRF) have been widely exploited as 3D representations for dense simultaneous localization and mapping (SLAM). Despite their notable successes in s…

cs.CV2022★ 10 cited

Generative Category-Level Shape and Pose Estimation with Semantic Primitives

Guanglin Li, Yifeng Li, Zhichao Ye +4

Empowering autonomous agents with 3D understanding for daily objects is a grand challenge in robotics applications. When exploring in an unknown environment, existing methods for o…