Haofeng Zhang

According to our database1, Haofeng Zhang authored at least 99 papers between 2008 and 2023.

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

Timeline

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Bibliography

2023
Combining Pixel-Level and Structure-Level Adaptation for Semantic Segmentation.
Neural Process. Lett., December, 2023

Exploiting spatial relationships for visual tracking.
Pattern Recognit. Lett., November, 2023

Dynamic Unary Convolution in Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Cardiac Adipose Tissue Segmentation via Image-Level Annotations.
IEEE J. Biomed. Health Informatics, June, 2023

Data driven recurrent generative adversarial network for generalized zero shot image classification.
Inf. Sci., May, 2023

Design and Verification of Lockable Upper-Limb Exoskeleton Based on Jamming and Engagement Mechanisms.
IEEE Robotics Autom. Lett., March, 2023

Generating diverse augmented attributes for generalized zero shot learning.
Pattern Recognit. Lett., February, 2023

Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence.
J. Mach. Learn. Res., 2023

Boosting generalized zero-shot learning with category-specific filters.
J. Intell. Fuzzy Syst., 2023

Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning.
CoRR, 2023

Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation.
CoRR, 2023

Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective.
CoRR, 2023

Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Scale Superpoint Network for 3D Point Cloud Semantic Segmentation.
Proceedings of the ACM Multimedia Asia 2023, 2023

Hashing One With All.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Few-Shot Medical Image Segmentation via a Region-Enhanced Prototypical Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deconstructed Generation-Based Zero-Shot Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection.
IEEE Trans. Multim., 2022

Confidence-and-Refinement Adaptation Model for Cross-Domain Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., 2022

From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Edge detection with attention: From global view to local focus.
Pattern Recognit. Lett., 2022

Learning discriminative feature via a generic auxiliary distribution for unsupervised domain adaptation.
Int. J. Mach. Learn. Cybern., 2022

Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning.
Knowl. Based Syst., 2022

Depth-embedded instance segmentation network for urban scene parsing.
J. Intell. Fuzzy Syst., 2022

Semi-supervised cross-modal hashing with multi-view graph representation.
Inf. Sci., 2022

Entropy-weighted reconstruction adversary and curriculum pseudo labeling for domain adaptation in semantic segmentation.
Neurocomputing, 2022

Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning.
IEEE Multim., 2022

Evolutionary Generalized Zero-Shot Learning.
CoRR, 2022

Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning.
CoRR, 2022

Evaluating Aleatoric Uncertainty via Conditional Generative Models.
CoRR, 2022

Towards the Semantic Weak Generalization Problem in Generative Zero-Shot Learning: Ante-hoc and Post-hoc.
CoRR, 2022

Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems.
CoRR, 2022

Learning to Hash Naturally Sorts.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Zero-Shot Logit Adjustment.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Class Concentration with Twin Variational Autoencoders for Unsupervised Cross-Modal Hashing.
Proceedings of the Computer Vision - ACCV 2022, 2022

From Sparse to Dense: Semantic Graph Evolutionary Hashing for Unsupervised Cross-Modal Retrieval.
Proceedings of the Computer Vision - ACCV 2022, 2022

Learning Internal Semantics with Expanded Categories for Generative Zero-Shot Learning.
Proceedings of the Computer Vision - ACCV 2022, 2022

Weighted Contrastive Hashing.
Proceedings of the Computer Vision - ACCV 2022, 2022

Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Low-Complexity and High-Decoding Performance Scheme for the MIMO-SCMA System.
Wirel. Commun. Mob. Comput., 2021

Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval.
IEEE Trans. Multim., 2021

When Visual Disparity Generation Meets Semantic Segmentation: A Mutual Encouragement Approach.
IEEE Trans. Intell. Transp. Syst., 2021

Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road Segmentation.
IEEE Trans. Intell. Transp. Syst., 2021

A plug-in attribute correction module for generalized zero-shot learning.
Pattern Recognit., 2021

Modality independent adversarial network for generalized zero shot image classification.
Neural Networks, 2021

Dual discriminative auto-encoder network for zero shot image recognition.
J. Intell. Fuzzy Syst., 2021

Sparse graph based self-supervised hashing for scalable image retrieval.
Inf. Sci., 2021

Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval.
Neurocomputing, 2021

Quantifying Epistemic Uncertainty in Deep Learning.
CoRR, 2021

Neural Predictive Intervals for Simulation Metamodeling.
Proceedings of the Winter Simulation Conference, 2021

Co-Seg: An Image Segmentation Framework Against Label Corruption.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multi-Scale Spatial Transformer Network for LiDAR-Camera 3D Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Homogeneous and Heterogeneous Co-Occurrences for Unsupervised Cross-Modal Retrieval.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Attention-Guided Semantic Hashing for Unsupervised Cross-Modal Retrieval.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Near-Real Feature Generative Network for Generalized Zero-Shot Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Dual Prototype Relaxation for Generalized Zero Shot Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Learning Prediction Intervals for Regression: Generalization and Calibration.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Modified Whale Optimization Algorithm with Single-Dimensional Swimming for Global Optimization Problems.
Symmetry, 2020

Pseudo distribution on unseen classes for generalized zero shot learning.
Pattern Recognit. Lett., 2020

Deep transductive network for generalized zero shot learning.
Pattern Recognit., 2020

Asymmetric graph based zero shot learning.
Multim. Tools Appl., 2020

Unsupervised deep triplet hashing with pseudo triplets for scalable image retrieval.
Multim. Tools Appl., 2020

Learning discriminative domain-invariant prototypes for generalized zero shot learning.
Knowl. Based Syst., 2020

Semantic-rebased cross-modal hashing for scalable unsupervised text-visual retrieval.
Inf. Process. Manag., 2020

Semantic combined network for zero-shot scene parsing.
IET Image Process., 2020

Prototype Relaxation With Robust Principal Component Analysis for Zero Shot Learning.
IEEE Access, 2020

Learning Discriminative Projection With Visual Semantic Alignment for Generalized Zero Shot Learning.
IEEE Access, 2020

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Depth Embedded Recurrent Predictive Parsing Network for Video Scenes.
IEEE Trans. Intell. Transp. Syst., 2019

Triple Verification Network for Generalized Zero-Shot Learning.
IEEE Trans. Image Process., 2019

Zero-shot Hashing with orthogonal projection for image retrieval.
Pattern Recognit. Lett., 2019

Zero-shot leaning and hashing with binary visual similes.
Multim. Tools Appl., 2019

Dual-verification network for zero-shot learning.
Inf. Sci., 2019

Adversarial unseen visual feature synthesis for Zero-shot Learning.
Neurocomputing, 2019

Clustering-driven unsupervised deep hashing for image retrieval.
Neurocomputing, 2019

On The Stability of Kernelized Control Functionals On Partial And Biased Stochastic Inputs.
Proceedings of the 2019 Winter Simulation Conference, 2019

SGD on Neural Networks Learns Functions of Increasing Complexity.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A General Transductive Regularizer for Zero-Shot Learning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval.
IEEE Trans. Image Process., 2018

A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.
Nat., 2018

An Improved FastSLAM Algorithm Based on Revised Genetic Resampling and SR-UPF.
Int. J. Autom. Comput., 2018

3SP-Net: Semantic Segmentation Network with Stereo Image Pairs for Urban Scene Parsing.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

ParallelNet: A Depth-Guided Parallel Convolutional Network for Scene Segmentation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

2016
基于双支持向量回归机的增量学习算法 (Incremental Learning Algorithm Based on Twin Support Vector Regression).
计算机科学, 2016

Stereo Vision Based Road Free Space Detection.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2014
Flexible orthogonal semisupervised learning for dimension reduction with image classification.
Neurocomputing, 2014

Fast orthogonal linear discriminant analysis with applications to image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Recursive "concave-convex" Fisher Linear Discriminant with applications to face, handwritten digit and terrain recognition.
Pattern Recognit., 2012

A probability distribution-based point cloud clustering algorithm.
Int. J. Model. Identif. Control., 2012

Linguistic fuzzy model identification based on PSO with different length of particles.
Appl. Soft Comput., 2012

2011
An improved cooperative particle swarm optimization and its application.
Neural Comput. Appl., 2011

Distance difference and linear programming nonparallel plane classifier.
Expert Syst. Appl., 2011

2008
Road-surface abstraction using ladar sensing.
Proceedings of the 10th International Conference on Control, 2008

Curvature diffusion evolution in image filtering.
Proceedings of the 10th International Conference on Control, 2008

Particle swarm based stereo algorithm and disparity map evaluation.
Proceedings of the 10th International Conference on Control, 2008


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