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20232026
most citedEfficient Deformable Tissue Reconstruction via Orthogonal Neural Plane

1 citations · 2 across the 25 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Realistic Surgical Simulation from Monocular Videos

Kailing Wang, Chen Yang, Keyang Zhao +2

This paper tackles the challenge of automatically performing realistic surgical simulations from readily available surgical videos. Recent efforts have successfully integrated phys…

cs.CL2024

Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning

Chongjie Si, Zhiyi Shi, Shifan Zhang +3

Large language models demonstrate impressive performance on downstream tasks, yet they require extensive resource consumption when fully fine-tuning all parameters. To mitigate thi…

cs.CV2024

PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer

Tongkun Guan, Chengyu Lin, Wei Shen +1

Handwritten Mathematical Expression Recognition (HMER) has wide applications in human-machine interaction scenarios, such as digitized education and automated offices. Recently, se…

cs.LG2024

See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition

Chongjie Si, Xiaokang Yang, Wei Shen

The rapid expansion of large foundation models within the pre-training and fine-tuning framework has underscored that larger models often yield better results. However, the scaling…

cs.CV2024★ 1 cited

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Chongjie Si, Xuehui Wang, Xue Yang +6

Adapting pre-trained foundation models for various downstream tasks has been prevalent in artificial intelligence. Due to the vast number of tasks and high costs, adjusting all par…

cs.CV2024

Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation

Chongjie Si, Xuehui Wang, Xiaokang Yang +1

Weakly Incremental Learning for Semantic Segmentation (WILSS) leverages a pre-trained segmentation model to segment new classes using cost-effective and readily available image-lev…

cs.CV2024

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Kailing Wang, Chen Yang, Yuehao Wang +5

Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online visualization are critical for intrabody medical imaging devices such as endoscopes and capsul…