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20232026
most citedAttention-based Point Cloud Edge Sampling

3 citations · 14 across the 52 of their papers we have counts for

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Showing 2024Show all

12 papers · 1 filter

cs.CV2024

Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization

Kunyu Peng, Di Wen, M. Saquib Sarfraz +7

Open-Set Domain Generalization (OSDG) is a challenging task requiring models to accurately predict familiar categories while minimizing confidence for unknown categories to effecti…

cs.HC2024★ 2 cited

ObjectFinder: An Open-Vocabulary Assistive System for Interactive Object Search by Blind People

Ruiping Liu, Jiaming Zhang, Angela Schön +6

Searching for objects in unfamiliar scenarios is a challenging task for blind people. It involves specifying the target object, detecting it, and then gathering detailed informatio…

cs.CV2024★ 1 cited

Deformable Mamba for Wide Field of View Segmentation

Jie Hu, Junwei Zheng, Jiale Wei +2

Recent advancements in the Mamba architecture, with its linear computational complexity, being a promising alternative to transformer architectures suffering from quadratic complex…

cs.CV2024

OneBEV: Using One Panoramic Image for Bird's-Eye-View Semantic Mapping

Jiale Wei, Junwei Zheng, Ruiping Liu +3

In the field of autonomous driving, Bird's-Eye-View (BEV) perception has attracted increasing attention in the community since it provides more comprehensive information compared w…

cs.CV2024

@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology

Xin Jiang, Junwei Zheng, Ruiping Liu +4

As Vision-Language Models (VLMs) advance, human-centered Assistive Technologies (ATs) for helping People with Visual Impairments (PVIs) are evolving into generalists, capable of pe…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

Open Panoramic Segmentation

Junwei Zheng, Ruiping Liu, Yufan Chen +5

Panoramic images, capturing a 360° field of view (FoV), encompass omnidirectional spatial information crucial for scene understanding. However, it is not only costly to obtain trai…

cs.CV2024

Referring Atomic Video Action Recognition

Kunyu Peng, Jia Fu, Kailun Yang +8

We introduce a new task called Referring Atomic Video Action Recognition (RAVAR), aimed at identifying atomic actions of a particular person based on a textual description and the…

cs.CV2024★ 1 cited

RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

Yufan Chen, Jiaming Zhang, Kunyu Peng +4

Before developing a Document Layout Analysis (DLA) model in real-world applications, conducting comprehensive robustness testing is essential. However, the robustness of DLA models…

cs.CV2024

Skeleton-Based Human Action Recognition with Noisy Labels

Yi Xu, Kunyu Peng, Di Wen +7

Understanding human actions from body poses is critical for assistive robots sharing space with humans in order to make informed and safe decisions about the next interaction. Howe…

cs.CV2024

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…