Meng Zheng

Orcid: 0000-0002-6677-2017

Affiliations:
  • United Imaging Intelligence, UII America, Inc., Cambridge, MA, USA
  • Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, NY, USA (PhD 2020)


According to our database1, Meng Zheng authored at least 35 papers between 2018 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction.
CoRR, 2024

Order-aware Interactive Segmentation.
CoRR, 2024

3D Vision-Language Gaussian Splatting.
CoRR, 2024

6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering.
CoRR, 2024

Automated Patient Positioning with Learned 3D Hand Gestures.
CoRR, 2024

DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering.
CoRR, 2024

Automating Catheterization Labs with Real-Time Perception.
CoRR, 2024

Cross-Class Domain Adaptive Semantic Segmentation with Visual Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Few-Shot 3D Volumetric Segmentation with Multi-surrogate Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PBADet: A One-Stage Anchor-Free Approach for Part-Body Association.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images.
Proceedings of the Computer Vision - ECCV 2024, 2024

Implicit Modeling of Non-rigid Objects with Cross-Category Signals.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Disguise without Disruption: Utility-Preserving Face De-identification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Federated Learning With Privacy-Preserving Ensemble Attention Distillation.
IEEE Trans. Medical Imaging, 2023

IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation.
CoRR, 2023

Exploring Cycle Consistency Learning in Interactive Volume Segmentation.
CoRR, 2023

CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Progressive Multi-View Human Mesh Recovery with Self-Supervision.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multi-motion and Appearance Self-Supervised Moving Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Visual Similarity Attention.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

PREF: Predictability Regularized Neural Motion Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

PseudoClick: Interactive Image Segmentation with Click Imitation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-supervised Human Mesh Recovery with Cross-Representation Alignment.
Proceedings of the Computer Vision - ECCV 2022, 2022

SMPL-A: Modeling Person-Specific Deformable Anatomy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Automated Spatio-Temporal Trajectory Recovery in Wide-Area Camera Networks.
IEEE Trans. Biom. Behav. Identity Sci., 2021

Spatio-Temporal Representation Factorization for Video-based Person Re-Identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Everybody Is Unique: Towards Unbiased Human Mesh Recovery.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Towards Visually Explaining Similarity Models.
CoRR, 2020

Towards Visually Explaining Variational Autoencoders.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Similarity Attention.
CoRR, 2019

Re-Identification With Consistent Attentive Siamese Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Measuring the Temporal Behavior of Real-World Person Re-Identification.
CoRR, 2018

RPIfield: A New Dataset for Temporally Evaluating Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018


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