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CASIA OpenIR

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Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 3256-3270
作者:  Zhang, Yujia;  Li, Qianzhong;  Pan, Yi;  Zhao, Xiaoguang;  Tan, Min
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03
Feature extraction  Visualization  Task analysis  Representation learning  Location awareness  Linguistics  Grounding  Video-based referring expression comprehension  multi-stage learning  image-language cross-generative fusion  consistency loss  
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning 期刊论文
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2024, 卷号: 18, 期号: 3, 页码: 24
作者:  Liang, Yunji;  Liu, Lei;  Huangfu, Luwen;  Samtani, Sagar;  Yu, Zhiwen;  Daniel D Zeng
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03
Entangled interaction  causality detection  complex causality  self-paced contrastive learning  causal directionality  
Memory-Adaptive Vision-and-Language Navigation 期刊论文
Pattern Recognition, 2024, 卷号: 153, 页码: 110511
作者:  Keji He;  Ya Jing;  Yan Huang;  Zhihe Lu;  Dong An;  Liang Wang
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：38/15  |  提交时间：2024/06/26
Vision-and-Language Navigation  Memory bank  History noises  Memory-Adaptive Model  
Modal Contrastive Learning Based End-to-End Text Image Machine Translation 期刊论文
IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), 2023, 卷号: 32, 期号: 32, 页码: 2153-2165
作者:  Ma, Cong;  Han, Xu;  Wu, Linghui;  Zhang, Yaping;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(6551Kb)  |  收藏  |  浏览/下载：24/12  |  提交时间：2024/06/26
Transformers  Machine translation  Decoding  Semantics  Pipelines  Text recognition  Task analysis  Text image machine translation  contrastive learning  text image recognition  machine translation  
An Approach for Handwritten Chinese Text Recognition Unifying Character Segmentation and Recognition 期刊论文
Pattern Recognition, 2024, 页码: 110373
作者:  MingMing Yu（于明明）;  Zhang H(张恒);  Fei Yin（殷飞）;  Cheng-Lin Liu（刘成林）
Adobe PDF(5849Kb)  |  收藏  |  浏览/下载：34/11  |  提交时间：2024/06/24
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 32, 期号: 6, 页码: 3880-3894
作者:  Li, Zhenbang;  Shi, Yaya;  Gao, Jin;  Wang, Shaoru;  Li, Bing;  Liang, Pengpeng;  Hu, Weiming
Adobe PDF(4397Kb)  |  收藏  |  浏览/下载：32/17  |  提交时间：2024/06/21
Global and local multi-modal feature mutual learning for retinal vessel segmentation 期刊论文
Pattern Recognition, 2024, 卷号: 151, 页码: 110376
作者:  Xin Zhao;  Zhang Jing;  Qiaozhe Li;  Tengfei Zhao;  Yi Li;  Zifeng Wu
Adobe PDF(4182Kb)  |  收藏  |  浏览/下载：33/13  |  提交时间：2024/06/21
Mutual learning  Multi-modal learning  OCTA images  Retinal vessel segmentation  
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：41/8  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision 期刊论文
International Journal of Computer Vision, 2024, 卷号: 132, 页码: 1659-1684
作者:  Xin Zhao;  Shiyu Hu;  Yipei Wang;  Zhang Jing;  Yimin Hu;  Rongshuai Liu;  Haibin Ling;  Yin Li;  Renshu Li;  Kun Liu;  Jiadong Li
Adobe PDF(9076Kb)  |  收藏  |  浏览/下载：24/7  |  提交时间：2024/06/21
NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures 期刊论文
IEEE Journal of Selected Topics in Signal Processing, 2024, 卷号: Early Access, 页码: 1-13
作者:  Liu Bingxi;  Fu Yujie;  Lu Feng;  Cui Jinqiang;  Wu Yihong;  Zhang Hong
Adobe PDF(12989Kb)  |  收藏  |  浏览/下载：23/7  |  提交时间：2024/06/20
Visual Place Recognition  Robotic Vision  Image- to-Image Translation  Night Computer Vision