Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks217 from public data
- WENETSPEECH: A 10000+ Hours Multi-Domain Mandarin Corpus for Speech Recognition394
WenetSpeech is the current largest open-source Mandarin speech corpus with transcriptions, which benefits research on production-level speech recognition, and a novel end-to-end label error detection approach is proposed.
- 381
- M2Met: The Icassp 2022 Multi-Channel Multi-Party Meeting Transcription Challenge221
The AliMeeting corpus, which consists of 120 hours of recorded Mandarin meeting data, is made available and the ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) is launched with two tracks, namely speaker diarization and multi-speaker ASR, aiming to provide a common testbed for meeting rich transcription and promote reproducible research in this field.
- AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario187
AISHELL-4, a sizable real-recorded Mandarin speech dataset collected by 8-channel circular microphone array for speech processing in conference scenario, is presented, and is the only Mandarin dataset for conversation speech, providing additional value for data diversity in speech community.
- 168
- Comprehensive Analysis of Fibroblast Activation Protein Expression in Interstitial Lung Diseases152
It was revealed, for the first time, FAP expression was upregulated significantly in the early phase of lung fibroblast activation event in response to a low dose of profibrotic cytokine, and the total standard uptake value of FAP inhibitor (FAPI) PET (SUVtotal) was significantly related to lung function decline in patients with ILD.
- An MRI-based atlas and database of the developing mouse brain147
DTI based atlases of ex vivo C57BL/6 mouse brains at several developmental stages are presented, enhancing the ability to examine the neuroanatomy in normal or genetically engineered mouse strains and mouse models of neurological diseases.
- Exploring Image Enhancement for Salient Object Detection in Low Light Images117
The proposed model directly embeds the physical lighting model into the deep neural network to describe the degradation of low light images, in which the environment light is treated as a point-wise variate and changes with local content.
- Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI112
The details of the atlas resources are described and the improved accuracy achievable with a dynamic age-matching approach, in which atlases that most closely match the subject’s age are dynamically selected are demonstrated.
- 99
- Digital 3D Brain MRI Arterial Territories Atlas95
This study provides the first publicly-available, digital, 3D deformable atlas of arterial brain territories, which may serve as a valuable resource for large-scale, reproducible processing and analysis of brain MRIs of patients with stroke and other conditions.
- MuseCoco: Generating Symbolic Music from Text86
MuseCoco stands for Music Composition Copilot that empowers musicians to generate music directly from given text descriptions, offering a significant improvement in efficiency compared to creating music entirely from scratch.
- BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading86
A new deep learning architecture, called BiRA-Net, is proposed, which combines the attention model for feature extraction and bilinear model for fine-grained classification, and a new loss function, called grading loss, which leads to improved training convergence of the proposed approach.
- 79
- 77
- 75
- 57
- A survey of CAPTCHA technologies to distinguish between human and computer53
This review discusses the CAPTCHA mechanism from usability and security aspects, therefore attacking (anti-classification) and defending ( classification) technologies towards currentCAPTCHA are both reviewed.
- Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure53
First, a noise reduction preprocessing is introduced to make the algorithm robust to both additive noise and multiplicative noise, and a new contrast measure is presented to bring in local false peaks, ensuring the presence of a well defined focused peak.
- Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model46
An effective 3D Convolutional Neural Network based method for large-scale gesture recognition using RGB-D video data that achieves 54.50% accuracy on the validation subset and 60.93% on the testing subset of the Chalearn LAP IsoGD dataset, both of which outperform the proposed method's results.
- Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge44
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge (M2MeT) focuses on one of the most valuable and the most challenging scenarios of speech technologies, and releases 120 hours of real-recorded Mandarin meeting speech data with manual annotation.
- Rank-in-Rank Loss for Person Re-identification38
Extensive experimental results indicate that the proposed Differentiable Retrieval-Sort Loss (DRSL) can improve the performance of the state-of-the-art re-ID models, thus demonstrating its effectiveness and superiority in the re- ID task.
- A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images38
The proposed robust detail preserving anisotropic diffusion filter (RDPAD) for speckle reduction can preserve the important structure information of the original image while reducing speckles and is also less sensitive to the number of iterations.
- 36
- The Multi-Speaker Multi-Style Voice Cloning Challenge 202135
The challenge to adapt an average TTS model to the stylistic target voice with limited data from target speaker, evaluated by speaker identity and style similarity is formulated.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.