Following is the list of accepted ICASSP 2024 papers, sorted by paper title. You can use the search feature of your web browser to find your paper number. Notifications to all authors have also been sent by email. If you have not received your notification of the results by email, please...
Each accepted paper must be covered by at least one non-student registration by 30 January 2024, and one non-student registration can cover up to four papers. Non-Presented Paper (No-Show) Policy Any accepted paper included in the final program is expected to have at least one author or ...
网站也正式公布了 accepted list，以后还有想加入 ICASSP，INTERSPEECH群的同学，请直接私信我吧，下面的二...
ICASSP 2024的paper，在EI检索不到是什么情况？ICASSP2024的paper在EI检索不到，如何解决？ 已给chair发...
An official Pytorch implement of the paper "Efficient scene text image super-resolution with semantic guidance " (ICASSP2024).Authors: LeoWu TomyEnrique, Xiangcheng Du, Kangliang Liu, Han Yuan, Zhao Zhou and Cheng JinSamplesPrepare DatasetsTextZoom dataset contains 17,367 LR-HR pairs for ...
If you find this code useful for your research, please cite our paper.@inproceedings{liu2024clip, title={CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval}, author={Liu, Yating and Li, Yaowei and Liu, Zimo and Yang, Wenming and Wang, Yaowei and Liao, Qingmin}, ...
Code for ICASSP 2024 paper"Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration" - m1nhengChen/SOPI
Jan 28, 2024 README MIT license EFFECTIVE IMAGE TAMPERING LOCALIZATION VIA ENHANCED TRANSFORMER AND CO-ATTENTION FUSION An official implementation code for paper "Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion". This repo provide codes, pretrained/trained weights, ...
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024) - HPLQAQ/SAM-Deblur
The implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection". (ICASSP 2024, CCF B) Overview We introduce the idea of contrastive learning (CL) into the nonnegative matrix factorization (NMF) for community detection (CD) for the first time, solving the...