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Improving AlphaFlow for Efficient Protein Ensembles Generation
Shaoning Li, Mingyu Li, Yusong Wang +4
Investigating conformational landscapes of proteins is a crucial way to understand their biological functions and properties. AlphaFlow stands out as a sequence-conditioned generat…
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Juzheng Miao, Cheng Chen, Keli Zhang +3
Semi-supervised learning (SSL) has achieved notable progress in medical image segmentation. To achieve effective SSL, a model needs to be able to efficiently learn from limited lab…
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
Juzheng Miao, Cheng Chen, Keli Zhang +3
One-shot detection of anatomical landmarks is gaining significant attention for its efficiency in using minimal labeled data to produce promising results. However, the success of c…
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
Shoujin Huang, Guanxiong Luo, Xi Wang +6
In general, diffusion model-based MRI reconstruction methods incrementally remove artificially added noise while imposing data consistency to reconstruct the underlying images. How…
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images
Xikai Yang, Jian Wu, Xi Wang +3
Glaucoma is one of the major eye diseases that leads to progressive optic nerve fiber damage and irreversible blindness, afflicting millions of individuals. Glaucoma forecast is a…
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
Yinqiao Wang, Hao Xu, Pheng-Ann Heng +1
Estimating 3D hand mesh from RGB images is a longstanding track, in which occlusion is one of the most challenging problems. Existing attempts towards this task often fail when the…
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning
Hao Chen, Jiaze Wang, Ziyu Guo +6
Sign language recognition (SLR) plays a vital role in facilitating communication for the hearing-impaired community. SLR is a weakly supervised task where entire videos are annotat…
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
Yu Zhu, Kang Li, Lequan Yu +1
Recent studies have made remarkable progress in histopathology classification. Based on current successes, contemporary works proposed to further upgrade the model towards a more g…
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading
Dunyuan Xu, Xi Wang, Jinyue Cai +1
Brain tumor represents one of the most fatal cancers around the world, and is very common in children and the elderly. Accurate identification of the type and grade of tumor in the…