Yalong Jiang

Orcid: 0000-0001-7224-6067

According to our database1, Yalong Jiang authored at least 27 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis.
CoRR, May, 2026

From Abstract Events to Grounded Cues: Cue-Guided Vision-Language Anomaly Detection.
IEEE Signal Process. Lett., 2026

2025
CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images.
IEEE Signal Process. Lett., 2025

The Spatiotemporal Prediction Model of Urban Carbon Emissions Based on Graph Neural Networks.
Int. J. Inf. Technol. Syst. Approach, 2025

MGFA-Unet: A Lightweight Crack Segmentation Network for Crowdsourcing.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Local Patterns Generalize Better for Novel Anomalies.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Reasonable Anomaly Detection Based on Long-Term Sequence Modeling.
IEEE Trans. Circuits Syst. Video Technol., November, 2024

Progressive prediction: Video anomaly detection via multi-grained prediction.
IET Image Process., August, 2024

Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization.
IEEE Trans. Image Process., 2024

Vision-Language Models Assisted Unsupervised Video Anomaly Detection.
CoRR, 2024

VLAVAD: Vision-Language Models Assisted Unsupervised Video Anomaly Detection.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos.
IEEE Trans. Circuits Syst. Video Technol., 2023

An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow.
CoRR, 2023

Reasonable Anomaly Detection in Long Sequences.
CoRR, 2023

Video Pose Track with Graph-Guided Sparse Motion Estimation.
CoRR, 2023

A Physically Explainable Framework for Human-Related Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Tiny Vehicle Detection for Mid-to-High Altitude UAV Images Based on Visual Attention and Spatial-Temporal Information.
Sensors, 2022

Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Lightweight Detection Network Based on Sub-Pixel Convolution and Objectness-Aware Structure for UAV Images.
Sensors, 2021

2020
Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

A Self-supervised Framework for Human Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
A CNN Model for Semantic Person Part Segmentation With Capacity Optimization.
IEEE Trans. Image Process., 2019

2018
A Novel Structure of Convolutional Layers with a Higher Performance-Complexity Ratio for Semantic Segmentation.
Proceedings of the 15th International Conference on Control, 2018

Person Part Segmentation based on Weak Supervision.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
A scale-invariant framework for image classification with deep learning.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A Fully-Convolutional Framework for Semantic Segmentation.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017


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