Jiacheng Deng

Orcid: 0000-0003-2838-0378

Affiliations:
  • University of Science and Technology of China, Hefei, China


According to our database1, Jiacheng Deng authored at least 22 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection.
CoRR, June, 2025

Quantity-Quality Enhanced Self-Training Network for Weakly Supervised Point Cloud Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

SAS: Segment Any 3D Scene with Integrated 2D Priors.
CoRR, March, 2025

Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation.
IEEE Trans. Circuits Syst. Video Technol., February, 2025

Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation.
CoRR, February, 2025

Relation3D : Enhancing Relation Modeling for Point Cloud Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Implicit Correspondence Learning for Image-to-Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection.
CoRR, 2024

Mamba24/8D: Enhancing Global Interaction in Point Clouds via State Space Model.
CoRR, 2024

DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diff3DETR: Agent-Based Diffusion Model for Semi-supervised 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

BSNet: Box-Supervised Simulation-Assisted Mean Teacher for 3D Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Template-assisted Point Cloud Shape Correspondence Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Hierarchical Shape-Consistent Transformer for Unsupervised Point Cloud Shape Correspondence.
IEEE Trans. Image Process., 2023

Query Refinement Transformer for 3D Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


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