Peng Li

Orcid: 0009-0004-9736-5264

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, School of Computer Science and Technology, Shenzhen, China


According to our database1, Peng Li authored at least 18 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Revisiting Tradition and Beyond: A Customized Bilateral Filtering Framework for Point Cloud Denoising.
ACM Trans. Graph., August, 2025

CoreEditor: Consistent 3D Editing via Correspondence-constrained Diffusion.
CoRR, August, 2025

2024
eViTBins: Edge-Enhanced Vision-Transformer Bins for Monocular Depth Estimation on Edge Devices.
IEEE Trans. Intell. Transp. Syst., December, 2024

GeoDC: Geometry-Constrained Depth Completion With Depth Distribution Modeling.
IEEE Trans. Geosci. Remote. Sens., 2024

PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation.
CoRR, 2024

Efficient Deep Learning Board: Training Feedback Is Not All You Need.
CoRR, 2024

2023
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset.
IEEE Trans. Intell. Transp. Syst., October, 2023

Cross-BERT for Point Cloud Pretraining.
CoRR, 2023

Don't worry about mistakes! Glass Segmentation Network via Mistake Correction.
CoRR, 2023

ifUNet++: Iterative Feedback UNet++ for Infrared Small Target Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection.
IEEE Trans. Image Process., 2022

Interactive nonlocal joint learning network for red, green, blue plus depth salient object detection.
J. Electronic Imaging, 2022

I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2015
3-D Point Cloud Object Detection Based on Supervoxel Neighborhood With Hough Forest Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Road Boundaries Detection Based on Local Normal Saliency From Mobile Laser Scanning Data.
IEEE Geosci. Remote. Sens. Lett., 2015

2014
Object Detection in Terrestrial Laser Scanning Point Clouds Based on Hough Forest.
IEEE Geosci. Remote. Sens. Lett., 2014


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