Kunyu Peng
Orcid: 0000-0002-5419-9292
According to our database1,
Kunyu Peng
authored at least 51 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Behind Every Domain There is a Shift: Adapting Distortion-Aware Vision Transformers for Panoramic Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Intell. Transp. Syst., November, 2024
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations.
CoRR, 2024
Probing Fine-Grained Action Understanding and Cross-View Generalization of Foundation Models.
CoRR, 2024
LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
LF Tracy: A Unified Single-Pipeline Paradigm for Salient Object Detection in Light Field Cameras.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Delving Deep Into One-Shot Skeleton-Based Action Recognition With Diverse Occlusions.
IEEE Trans. Multim., 2023
Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments.
CoRR, 2023
Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation.
CoRR, 2023
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation of Road Scenes.
CoRR, 2023
CoRR, 2023
Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments.
IROS, 2023
Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance.
IEEE Trans. Intell. Transp. Syst., 2022
Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates.
IEEE Trans. Intell. Transp. Syst., 2022
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding.
IEEE Trans. Intell. Transp. Syst., 2022
Transfer Beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation.
IEEE Trans. Intell. Transp. Syst., 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation.
CoRR, 2022
Trans4Map: Revisiting Holistic Top-down Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers.
CoRR, 2022
Transformer-based Knowledge Distillation for Efficient Semantic Segmentation of Road-driving Scenes.
CoRR, 2022
ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers.
CoRR, 2022
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor.
Proceedings of the Computers Helping People with Special Needs, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021