1 code implementation • 7 Mar 2024 • Mingyuan Li, Tong Jia, Hao Wang, Bowen Ma, Shuyang Lin, Da Cai, Dongyue Chen
Considering the significant overlapping phenomenon in X-ray prohibited item images, we propose an Anti-Overlapping DETR (AO-DETR) based on one of the state-of-the-art general object detectors, DINO.
no code implementations • 15 Jan 2024 • Tingxuan Huang, Jiacheng Miao, Shizhuo Deng, Tong, Dongyue Chen
Depth completion is a critical task for handling depth images with missing pixels, which can negatively impact further applications.
no code implementations • 4 Sep 2023 • Zhewen Deng, Dongyue Chen, Shizhuo Deng
Video Anomaly Detection (VAD) involves detecting anomalous events in videos, presenting a significant and intricate task within intelligent video surveillance.
1 code implementation • ICCV 2023 • Dongyue Chen, Tingxuan Huang, Zhimin Song, Shizhuo Deng, Tong Jia
In the encoding stage, an Attention Guided Gated-Convolution (AG-GConv) module is proposed to realize the fusion of depth and color features at different scales, which can effectively reduce the negative impacts of invalid depth data on the reconstruction.
no code implementations • 25 Jan 2022 • Chunren Tang, Dingyu Xue, Dongyue Chen
Clustering-based approach has proved effective in dealing with unsupervised domain adaptive person re-identification (ReID) tasks.
Domain Adaptive Person Re-Identification Person Re-Identification
no code implementations • 16 Aug 2019 • Peng Chen, Tong Jia, Pengfei Wu, Jianjun Wu, Dongyue Chen
Most existing person re-identification (ReID) methods have good feature representations to distinguish pedestrians with deep convolutional neural network (CNN) and metric learning methods.