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IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：12/0  |  提交时间：2024/03/26
Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning  
Jointing Recurrent Across-Channel and Spatial Attention for Multi-Object Tracking With Block-Erasing Data Augmentation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 4054-4069
作者:  Deng, Keyu;  Zhang, Congxuan;  Chen, Zhen;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：65/0  |  提交时间：2023/11/17
Multi-object tracking  one shot  multiattention feature learning  block erasing strategy  object occlusions  
A Robust Infrared Small Target Detection Method Jointing Multiple Information and Noise Prediction: Algorithm and Benchmark 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 17
作者:  Meng, Siqiang;  Zhang, Congxuan;  Shi, Qi;  Chen, Zhen;  Hu, Weiming;  Lu, Feng
收藏  |  浏览/下载：54/0  |  提交时间：2023/11/17
Dataset  infrared small target detection (IRSTD)  multiple information  noise prediction  regional positioning  
Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 卷号: 101, 页码: 14
作者:  Zhang, Congxuan;  Feng, Cheng;  Chen, Zhen;  Hu, Weiming;  Li, Ming
收藏  |  浏览/下载：216/0  |  提交时间：2021/12/28
Optical flow  Occlusion detection  Edge-preserving  Parallel multiscale context  Convolutional neural network  
LW-Net: A Lightweight Network for Monocular Depth Estimation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 196287-196298
作者:  Feng, Cheng;  Zhang, Congxuan;  Chen, Zhen;  Li, Ming;  Chen, Hao;  Fan, Bingbing
收藏  |  浏览/下载：212/0  |  提交时间：2021/01/06
Estimation  Decoding  Computational modeling  Cameras  Task analysis  Robots  Training  Monocular depth estimation  lightweight  self-supervised learning  iterative decoder  convolutional neural networks