Search Results for author: Yuanman Li

Found 12 papers, 4 papers with code

Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos

no code implementations7 Jan 2024 Rongqin Liang, Yuanman Li, Jiantao Zhou, Xia Li

Traffic anomaly detection (TAD) in driving videos is critical for ensuring the safety of autonomous driving and advanced driver assistance systems.

Anomaly Detection Autonomous Driving +1

Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization

no code implementations18 Aug 2023 Yuxuan Tan, Yuanman Li, Limin Zeng, Jiaxiong Ye, Wei Wang, Xia Li

Additionally, in order to handle scale transformations, we introduce a multi-scale projection method, which can be readily integrated into our target-aware framework that enables the attention process to be conducted between tokens containing information of varying scales.

Image Copy-Move Forgery Detection via Deep Cross-Scale PatchMatch

no code implementations8 Aug 2023 Yingjie He, Yuanman Li, Changsheng chen, Xia Li

The recently developed deep algorithms achieve promising progress in the field of image copy-move forgery detection (CMFD).

A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos

no code implementations27 Jul 2023 Rongqin Liang, Yuanman Li, Yingxin Yi, Jiantao Zhou, Xia Li

Different from previous approaches, our method can more accurately detect both ego-involved and non-ego accidents by simultaneously modeling appearance changes and object motions in video frames through the collaboration of optical flow reconstruction and future object localization tasks.

Autonomous Driving Object +3

STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction

no code implementations21 Nov 2022 Rongqin Liang, Yuanman Li, Jiantao Zhou, Xia Li

Different from previous approaches, our method can more precisely model the underlying data distribution by optimizing the exact log-likelihood of motion behaviors.

Anomaly Detection Autonomous Driving +3

Uformer-ICS: A Specialized U-Shaped Transformer for Image Compressive Sensing

no code implementations5 Sep 2022 Kuiyuan Zhang, Zhongyun Hua, Yuanman Li, Yushu Zhang, Yicong Zhou

We develop a projection-based transformer block by integrating the prior projection knowledge of CS into the original transformer blocks, and then build a symmetrical reconstruction model using the projection-based transformer blocks and residual convolutional blocks.

Compressive Sensing

Video Salient Object Detection via Adaptive Local-Global Refinement

1 code implementation29 Apr 2021 Yi Tang, Yuanman Li, Guoliang Xing

Despite their simplicity, such fusion strategies may introduce feature redundancy, and also fail to fully exploit the relationship between multi-level features extracted from both spatial and temporal domains.

Object object-detection +2

Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain

1 code implementation7 Mar 2021 Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan

Deep neural networks (DNNs) have been shown to be vulnerable against adversarial examples (AEs), which are maliciously designed to cause dramatic model output errors.

Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision

1 code implementation3 Dec 2020 Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou

Predicting human motion behavior in a crowd is important for many applications, ranging from the natural navigation of autonomous vehicles to intelligent security systems of video surveillance.

Autonomous Vehicles Pedestrian Trajectory Prediction +1

Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation

no code implementations20 Oct 2020 Yi Tang, Yuanman Li, Wenbin Zou

In this paper, to simplify the network and maintain the accuracy, we present a lightweight network tailored for video salient object detection through the spatiotemporal knowledge distillation.

Knowledge Distillation Object +4

Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention

1 code implementation2 Sep 2020 Haiwei Wu, Jiantao Zhou, Yuanman Li

Deep learning (DL) has demonstrated its powerful capabilities in the field of image inpainting.

Image Inpainting

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