Search Results for author: Yalong Jiang

Found 5 papers, 2 papers with code

An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow

no code implementations5 Nov 2023 Huining Li, Yalong Jiang, Xianlin Zeng, Feng Li, Zhipeng Wang

Specifically, we employ the minimum network flow algorithm with high-confidence detections as input in the first stage to obtain the candidate tracklets that need correction.

Multi-Object Tracking

Reasonable Anomaly Detection in Long Sequences

1 code implementation6 Sep 2023 Yalong Jiang, Changkang Li

In this paper, we propose to completely represent the motion patterns of objects by learning from long-term sequences.

Anomaly Detection Video Anomaly Detection

Texture-Based Input Feature Selection for Action Recognition

no code implementations28 Feb 2023 Yalong Jiang

To improve the model robustness, we propose a novel method to determine the task-irrelevant content in inputs which increases the domain discrepancy.

Action Recognition Anomaly Detection +8

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies

1 code implementation3 Sep 2022 Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu

Second, to improve the robustness of binary models with contextual dependencies, we compute the contextual dynamic embeddings to determine the binarization thresholds in general binary convolutional blocks.

Binarization Inductive Bias

A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos

no code implementations8 Dec 2021 Xianlin Zeng, Yalong Jiang, Wenrui Ding, Hongguang Li, Yafeng Hao, Zifeng Qiu

High-level graph representations encode the trajectories of people and the interactions among multiple identities while low-level graph representations encode the local body postures of each person.

Anomaly Detection In Surveillance Videos

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