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Works17 from public data
- HunyuanVideo: A Systematic Framework For Large Video Generative Models1,773
HunyuanVideo is introduced, an innovative open-source video foundation model that demonstrates performance in video generation comparable to, or even surpassing, that of leading closed-source models.
- MixFormer: End-to-End Tracking with Iterative Mixed Attention911
This paper proposes a compact tracking framework, termed as MixFormer, built upon transformers, to utilize the flexibility of attention operations, and proposes a Mixed Attention Module (MAM) for simultaneous feature extraction and target information integration.
- SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes257
A new multi-object tracking framework, termed as MixSort, introducing a MixFormer-like structure as an auxiliary association model to prevailing tracking-by-detection trackers is proposed, which achieves state-of-the-art performance on SportsMOT and MOT17.
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- The Ninth Visual Object Tracking VOT2021 Challenge Results127
The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative; results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years.
- Liver tumor segmentation in CT volumes using an adversarial densely connected network61
The testing results show that the proposed method achieves improved performance, which corroborated the adversarial training based strategy can achieve more accurate and robustness results on liver tumor segmentation task.
- Fully convolutional online tracking60
This work presents the first fully convolutional online tracking framework (FCOT), with a focus on enabling online learning for both classification and regression branches, and introduces an online regression model generator (RMG) based on the carefully designed anchor-free box regression branch.
- Denoising of MR and CT images using cascaded multi-supervision convolutional neural networks with progressive training46
A cascaded multi-supervision convolutional neural network named CMSNet is proposed to remove the low-dose perfusion noise in CT images and the Rician noise exist in MR images and achieves a promising performance in terms of unknown noise level, a specific noise level on peak signal to noise ratio (PSNR) and global structure similarity index measurement (SSIM).
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- Femoral head segmentation based on improved fully convolutional neural network for ultrasound images7
The proposed method is capable of segmenting femoral head accurately and guiding the diagnosis of developmental dysplasia of the hip and an improved fully convolutional neural network named FNet which integrates the convolution encoder–decoder architecture, pooling indices and residual connection operation for more accurate segmentation.
- The role and mechanisms of bone microenvironment regulators in osteoporosis: novel intervention strategies for addressing the challenges of aging6
Current evidence on bone microenvironment regulatory factors in osteoporosis is synthesized, with emphasis on their roles in bone remodeling and downstream cellular signaling pathways, to identify promising therapeutic targets and provide a conceptual framework to support osteoporosis prevention and treatment.
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- Engineered Poly (amino acid) Hydrogel Synchronizes Sequential Infection Elimination and Osteogenic Activation for Single-stage Reconstruction of Infected Bone Defects3
This study provides a time-efficient single-stage strategy for the effective treatment of infected bone defects by constructing a dual-functional hydrogel with sequential antibacterial and osteogenic properties, which provides promising directions for future clinical treatment improvement.
Publication data from OpenAlex; 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.
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