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20122023
most citedDirect Estimation of Spinal Cobb Angles by Structured Multi-Output Regression

105 citations · 380 across the 28 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

hep-th2023★ 4 cited

Rational Q-systems at Root of Unity I. Closed Chains

Jue Hou, Yunfeng Jiang, Yuan Miao

The solution of Bethe ansatz equations for XXZ spin chain with the parameter being a root of unity is infamously subtle. In this work, we develop the rational -system for th…

cs.CV2023

Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking

Zhiheng Li, Yu Lin, Yubo Cui +2

3D single object tracking with LiDAR points is an important task in the computer vision field. Previous methods usually adopt the matching-based or motion-centric paradigms to esti…

eess.IV2023

Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior

Shuo Li, Mehrdad Yaghoobi

Hyperspectral Image (HSI)s cover hundreds or thousands of narrow spectral bands, conveying a wealth of spatial and spectral information. However, due to the instrumental errors and…

eess.IV2023

Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations

Shuo Li, Mehrdad Yaghoobi

Hyperspectral images are typically composed of hundreds of narrow and contiguous spectral bands, each containing information about the material composition of the imaged scene. How…

cs.CV2023★ 4 cited

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

Yuting He, Guanyu Yang, Rongjun Ge +4

Learning inter-image similarity is crucial for 3D medical images self-supervised pre-training, due to their sharing of numerous same semantic regions. However, the lack of the sema…

cs.RO2023

Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones

Yuyang Shen, Jinming Xu, Jin Zhou +4

Autonomous drone racing is becoming an excellent platform to challenge quadrotors' autonomy techniques including planning, navigation and control technologies. However, most resear…