Haidong Zhu

Orcid: 0000-0002-4763-8998

According to our database1, Haidong Zhu authored at least 29 papers between 2003 and 2024.

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Bibliography

2024
ShARc: Shape and Appearance Recognition for Person Identification In-the-wild.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Large Language Models are Good Prompt Learners for Low-Shot Image Classification.
CoRR, 2023

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey.
CoRR, 2023

CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering.
CoRR, 2023

Gait Recognition Using 3-D Human Body Shape Inference.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Multimodal Neural Radiance Field.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GaitRef: Gait Recognition with Refined Sequential Skeletons.
Proceedings of the IEEE International Joint Conference on Biometrics, 2023


CAT-NeRF: Constancy-Aware Tx<sup>2</sup>Former for Dynamic Body Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Temporal Shift and Attention Modules for Graphical Skeleton Action Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

OPEN: Order-preserving Pointcloud Encoder Decoder Network for Body Shape Refinement.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Learning for Sentiment Analysis via Image-Text Matching.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Utilizing Every Image Object for Semi-supervised Phrase Grounding.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Curriculum DeepSDF.
Proceedings of the Computer Vision - ECCV 2020, 2020

CPARR: Category-based Proposal Analysis for Referring Relationships.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Gclust: A Parallel Clustering Tool for Microbial Genomic Data.
Genom. Proteom. Bioinform., 2019

How Big Data and High-performance Computing Drive Brain Science.
Genom. Proteom. Bioinform., 2019

Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Biologically-Constrained Graphs for Global Connectomics Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2015
Consistent Riccati expansion and exact solutions of the Kuramoto-Sivashinsky equation.
Appl. Math. Lett., 2015

2012
SISO APP Searches in Lattices With Tanner Graphs.
IEEE Trans. Inf. Theory, 2012

2006
Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems.
IEEE Trans. Signal Process., 2006

A novel soft information algorithm for closest point search in lattices with Tanner graph representations
CoRR, 2006

2005
On performance of sphere decoding and Markov chain Monte Carlo detection methods.
IEEE Signal Process. Lett., 2005

MIMO detection using Markov chain Monte Carlo techniques for near-capacity performance.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Capacity of pilot-aided MIMO communication systems.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Markov chain Monte Carlo techniques in iterative detectors: a novel approach based on Monte Carlo integration.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

2003
Pilot embedding for joint channel estimation and data detection in MIMO communication systems.
IEEE Commun. Lett., 2003


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