Divergence Based Quadrangle and Applications

Kavli Affiliate: Cheng Peng | First 5 Authors: Anton Malandii, Siddhartha Gupte, Cheng Peng, Stan Uryasev, | Summary: This paper introduces a novel framework for assessing risk and decision-making in the presence of uncertainty, the emph{$varphi$-Divergence Quadrangle}. This approach expands upon the traditional Risk Quadrangle, a model that quantifies uncertainty through four key components: emph{risk, […]


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Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xue-Feng Zhu, Tianyang Xu, Jian Zhao, Jia-Wei Liu, Kai Wang | Summary: Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including transportation, surveillance, and military. However, their potential for safety and privacy violations is an increasing issue and highly limits their broader applications, underscoring […]


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One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Bohan Li, Jingxin Dong, Yunnan Wang, Jinming Liu, Lianying Yin | Summary: Recent works have explored the fundamental role of depth estimation in multi-view stereo (MVS) and semantic scene completion (SSC). They generally construct 3D cost volumes to explore geometric correspondence in depth, and estimate such volumes […]


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One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception

Kavli Affiliate: Zheng Zhu | First 5 Authors: Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu | Summary: Numerous studies have investigated the pivotal role of reliable 3D volume representation in scene perception tasks, such as multi-view stereo (MVS) and semantic scene completion (SSC). They typically construct 3D probability volumes directly with geometric […]


Continue.. One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception

One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception

Kavli Affiliate: Zheng Zhu | First 5 Authors: Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu | Summary: Numerous studies have investigated the pivotal role of reliable 3D volume representation in scene perception tasks, such as multi-view stereo (MVS) and semantic scene completion (SSC). They typically construct 3D probability volumes directly with geometric […]


Continue.. One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception

Hubbard Model on Triangular Lattice: Role of Charge Fluctuations

Kavli Affiliate: Zheng Zhu | First 5 Authors: Ji-Si Xu, Zheng Zhu, Kai Wu, Zheng-Yu Weng, | Summary: A chiral spin liquid (CSL) phase has been recently reported in the Hubbard model on a triangular lattice at half-filling. It emerges in an intermediate coupling regime, which is sandwiched between a $120^circ$ antiferromagnetic (AFM) phase and […]


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WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation

Kavli Affiliate: Cheng Peng | First 5 Authors: Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li | Summary: The top-down and bottom-up methods are two mainstreams of referring segmentation, while both methods have their own intrinsic weaknesses. Top-down methods are chiefly disturbed by Polar Negative (PN) errors owing to the lack of fine-grained […]


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Emergent conformal boundaries from finite-entanglement scaling in matrix product states

Kavli Affiliate: Long Zhang | First 5 Authors: Rui-Zhen Huang, Long Zhang, Andreas M. Läuchli, Jutho Haegeman, Frank Verstraete | Summary: The use of finite entanglement scaling with matrix product states (MPS) has become a crucial tool for studying 1+1d critical lattice theories, especially those with emergent conformal symmetry. We argue that finite entanglement introduces […]


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