3 citations · 4 across the 5 of their papers we have counts for
5 papers
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
Jonas Schmitt, Ruiping Liu, Junwei Zheng +2
Lightweight and effective models are essential for devices with limited resources, such as intelligent vehicles. Structured pruning offers a promising approach to model compression…
Rethinking Attention Module Design for Point Cloud Analysis
Chengzhi Wu, Kaige Wang, Zeyun Zhong +5
In recent years, there have been significant advancements in applying attention mechanisms to point cloud analysis. However, attention module variants featured in various research…
Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation
Ruiping Liu, Jiaming Zhang, Kunyu Peng +6
Integrating information from multiple modalities enhances the robustness of scene perception systems in autonomous vehicles, providing a more comprehensive and reliable sensory fra…
Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments
Ruiping Liu, Jiaming Zhang, Kunyu Peng +5
Grounded Situation Recognition (GSR) is capable of recognizing and interpreting visual scenes in a contextually intuitive way, yielding salient activities (verbs) and the involved…
Attention-based Point Cloud Edge Sampling
Chengzhi Wu, Junwei Zheng, Julius Pfrommer +1
Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point…