Kunyu Peng

Orcid: 0000-0002-5419-9292

According to our database1, Kunyu Peng authored at least 42 papers between 2021 and 2024.

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Bibliography

2024
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models.
CoRR, 2024

Skeleton-Based Human Action Recognition with Noisy Labels.
CoRR, 2024

EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving.
CoRR, 2024

Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation.
CoRR, 2024

LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras.
CoRR, 2024

360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Navigating Open Set Scenarios for Skeleton-Based Action Recognition.
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

Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision.
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

FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition.
CoRR, 2023

360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View.
CoRR, 2023

MuscleMap: Towards Video-based Activated Muscle Group Estimation.
CoRR, 2023

MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments.
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

Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents.
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

Delivering Arbitrary-Modal Semantic Segmentation.
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

Multi-modal Depression Estimation Based on Sub-attentional Fusion.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Should I take a walk? Estimating Energy Expenditure from Video Data.
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

MatchFormer: Interleaving Attention in Transformers for Feature Matching.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data.
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


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