MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiaofeng Wang, Zheng Zhu, Fangbo Qin, Yun Ye, Guan Huang | Summary: Learning-based Multi-View Stereo (MVS) methods warp source images into the reference camera frustum to form 3D volumes, which are fused as a cost volume to be regularized by subsequent networks. The fusing step plays a […]


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Matrix Entanglement

Kavli Affiliate: Cheng Peng | First 5 Authors: Vaibhav Gautam, Masanori Hanada, Antal Jevicki, Cheng Peng, | Summary: In gauge/gravity duality, matrix degrees of freedom on the gauge theory side play important roles for the emergent geometry. In this paper, we discuss how the entanglement on the gravity side can be described as the entanglement […]


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HFT: Lifting Perspective Representations via Hybrid Feature Transformation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jiayu Zou, Junrui Xiao, Zheng Zhu, Junjie Huang, Guan Huang | Summary: Autonomous driving requires accurate and detailed Bird’s Eye View (BEV) semantic segmentation for decision making, which is one of the most challenging tasks for high-level scene perception. Feature transformation from frontal view to BEV is […]


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Interplay between Pair Density Wave and a Nested Fermi Surface

Kavli Affiliate: Yi Zhou | First 5 Authors: Jin-Tao Jin, Kun Jiang, Hong Yao, Yi Zhou, | Summary: We show that spontaneous time-reversal-symmetry (TRS) breaking can naturally arise from the interplay between pair density wave (PDW) ordering at multiple momenta and nesting of Fermi surfaces (FS). Concretely, we consider pair-density-wave superconductivity on a hexagonal lattice […]


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SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao | Summary: Depth estimation from images serves as the fundamental step of 3D perception for autonomous driving and is an economical alternative to expensive depth sensors like LiDAR. The temporal photometric consistency enables self-supervised depth estimation without […]


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SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao | Summary: Depth estimation from images serves as the fundamental step of 3D perception for autonomous driving and is an economical alternative to expensive depth sensors like LiDAR. The temporal photometric constraints enables self-supervised depth estimation without […]


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Valley hydrodynamics in gapped graphene

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Daigo Oue, Mamoru Matsuo, , | Summary: Recent experiments have revealed that novel nonequilibrium states consistent with the hydrodynamic description of electrons are realized in ultrapure graphene, which hosts the valley degrees of freedom. Here, we formulate a theory of electron hydrodynamics including dissipation processes […]


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Data Sampling Affects the Complexity of Online SGD over Dependent Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang | Summary: Conventional machine learning applications typically assume that data samples are independently and identically distributed (i.i.d.). However, practical scenarios often involve a data-generating process that produces highly dependent data samples, which are known to heavily bias […]


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A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Bhavya Kailkhura, Yi Zhou, , | Summary: Many important machine learning applications involve regularized nonconvex bi-level optimization. However, the existing gradient-based bi-level optimization algorithms cannot handle nonconvex or nonsmooth regularizers, and they suffer from a high computation complexity in nonconvex bi-level optimization. In this work, […]


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