A Fully-Convolutional Framework for Semantic Segmentation. - Yalong Jiang; Zheru Chi (DICTA, 2017)

A scale-invariant framework for image classification with deep learning. - Yalong Jiang; Zheru Chi (SMC, 2017)

Person Part Segmentation based on Weak Supervision. - Yalong Jiang; Zheru Chi (BMVC, 2018)

A Novel Structure of Convolutional Layers with a Higher Performance-Complexity Ratio for Semantic Segmentation. - Yalong Jiang; Zheru Chi (ICARCV, 2018)

A CNN Model for Semantic Person Part Segmentation With Capacity Optimization. - Yalong Jiang; Zheru Chi (IEEE Trans. Image Process., 2019)

A Self-supervised Framework for Human Instance Segmentation. - Yalong Jiang; Wenrui Ding; Hongguang Li; Hua Yang; Xu Wang (ECCV Workshops (2), 2020)

Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification. - Yue Li; Wenrui Ding; Yanjun Zhu; Yuanjun Huang; Yalong Jiang; Baochang Zhang 001 (ICIP, 2020)

Lightweight Detection Network Based on Sub-Pixel Convolution and Objectness-Aware Structure for UAV Images. - Xuanye Li; Hongguang Li; Yalong Jiang; Meng Wang (Sensors, 2021)

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. - Xingrun Xing; Yangguang Li 001; Wei Li 022; Wenrui Ding; Yalong Jiang; Yufeng Wang 004; Jing Shao; Chunlei Liu 001; Xianglong Liu 001 (ECCV (11), 2022)

Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. - Xingrun Xing; Yalong Jiang; Baochang Zhang 001; Wenrui Ding; Yangguang Li; Hongguang Li; Huan Peng (ICASSP, 2022)

Tiny Vehicle Detection for Mid-to-High Altitude UAV Images Based on Visual Attention and Spatial-Temporal Information. - Ruonan Yu; Hongguang Li; Yalong Jiang; Baochang Zhang 001; Yufeng Wang 004 (Sensors, 2022)

A Physically Explainable Framework for Human-Related Anomaly Detection. - Yalong Jiang; Huining Li; Changkang Li (ICASSP, 2023)

Video Pose Track with Graph-Guided Sparse Motion Estimation. - Yalong Jiang; Wenrui Ding; Hongguang Li; Zheru Chi (CoRR, 2023)

Reasonable Anomaly Detection in Long Sequences. - Yalong Jiang; Changkang Li (CoRR, 2023)

An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow. - Huining Li; Yalong Jiang; Xianlin Zeng; Feng Li; Zhipeng Wang (CoRR, 2023)

A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos. - Xianlin Zeng; Yalong Jiang; Wenrui Ding; Hongguang Li; Yafeng Hao; Zifeng Qiu (IEEE Trans. Circuits Syst. Video Technol., 2023)

VLAVAD: Vision-Language Models Assisted Unsupervised Video Anomaly Detection. - Changkang Li; Yalong Jiang (BMVC, 2024)

Vision-Language Models Assisted Unsupervised Video Anomaly Detection. - Yalong Jiang; Liquan Mao (CoRR, 2024)

Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization. - Yalong Jiang; Wenrui Ding; Hongguang Li; Zheru Chi (IEEE Trans. Image Process., 2024)

Progressive prediction: Video anomaly detection via multi-grained prediction. - Xianlin Zeng; Yalong Jiang; Yufeng Wang 004; Qiang Fu; Wenrui Ding (IET Image Process., 2024)

Reasonable Anomaly Detection Based on Long-Term Sequence Modeling. - Yalong Jiang; Changkang Li; Wenrui Ding; Jinzhi Xiang; Zheru Chi (IEEE Trans. Circuits Syst. Video Technol., 2024)

Local Patterns Generalize Better for Novel Anomalies. - Yalong Jiang (ICLR, 2025)

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images. - Xinjie Sun; Boxiong Wei; Yalong Jiang; Liquan Mao; Qi Zhao (IEEE Signal Process. Lett., 2025)