27 citations · 80 across the 96 of their papers we have counts for
14 papers · 1 filter
Navigating Open Set Scenarios for Skeleton-based Action Recognition
Kunyu Peng, Cheng Yin, Junwei Zheng +7
In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones. Howeve…
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments
Calvin Tanama, Kunyu Peng, Zdravko Marinov +2
Deep learning-based models are at the forefront of most driver observation benchmarks due to their remarkable accuracies but are also associated with high computational costs. This…
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
Yifei Chen, Kunyu Peng, Alina Roitberg +7
To integrate action recognition into autonomous robotic systems, it is essential to address challenges such as person occlusions-a common yet often overlooked scenario in existing…
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
Yiping Wei, Kunyu Peng, Alina Roitberg +6
Self-supervised representation learning for human action recognition has developed rapidly in recent years. Most of the existing works are based on skeleton data while using a mult…
Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation
Hejun Xiao, Kunyu Peng, Xiangsheng Huang +4
Fall detection is a vital task in health monitoring, as it allows the system to trigger an alert and therefore enabling faster interventions when a person experiences a fall. Altho…
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…
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation
Fei Teng, Jiaming Zhang, Kunyu Peng +3
Light field cameras are capable of capturing intricate angular and spatial details. This allows for acquiring complex light patterns and details from multiple angles, significantly…
Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents
Ke Cao, Ruiping Liu, Ze Wang +6
The mobile robot relies on SLAM (Simultaneous Localization and Mapping) to provide autonomous navigation and task execution in complex and unknown environments. However, it is hard…
Exploring Few-Shot Adaptation for Activity Recognition on Diverse Domains
Kunyu Peng, Di Wen, David Schneider +5
Domain adaptation is essential for activity recognition to ensure accurate and robust performance across diverse environments, sensor types, and data sources. Unsupervised domain a…
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
Hao Shi, Yu Li, Kailun Yang +7
This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-v…
Delivering Arbitrary-Modal Semantic Segmentation
Jiaming Zhang, Ruiping Liu, Hao Shi +6
Multimodal fusion can make semantic segmentation more robust. However, fusing an arbitrary number of modalities remains underexplored. To delve into this problem, we create the DeL…
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View
Zhifeng Teng, Jiaming Zhang, Kailun Yang +5
Seeing only a tiny part of the whole is not knowing the full circumstance. Bird's-eye-view (BEV) perception, a process of obtaining allocentric maps from egocentric views, is restr…
Towards Activated Muscle Group Estimation in the Wild
Kunyu Peng, David Schneider, Alina Roitberg +6
In this paper, we tackle the new task of video-based Activated Muscle Group Estimation (AMGE) aiming at identifying active muscle regions during physical activity in the wild. To t…
MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
Junwei Zheng, Jiaming Zhang, Kailun Yang +2
People with Visual Impairments (PVI) typically recognize objects through haptic perception. Knowing objects and materials before touching is desired by the target users but under-e…