Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng | Summary: Person Re-identification is a research area with significant real world applications. Despite recent progress, existing methods face challenges in robust re-identification in the wild, e.g., by focusing only on a particular modality and on unreliable […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Yifan Zhou, Ram Prabhakar, Xijun Liu, Yuxiang Guo | Summary: Person Re-Identification (ReID) is a challenging problem, focusing on identifying individuals across diverse settings. However, previous ReID methods primarily concentrated on a single domain or modality, such as Clothes-Changing ReID (CC-ReID) and video ReID. Real-world […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng | Summary: Person Re-identification is a research area with significant real world applications. Despite recent progress, existing methods face challenges in robust re-identification in the wild, e.g., by focusing only on a particular modality and on unreliable […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng | Summary: Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information. In recent years, this field has been dominated by learning methods based on two principal input representations: dense […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, , , | Summary: Quenched disorders can strongly influence the physical properties of quantum many-body systems. The real-space strong-disorder renormalization group (SDRG) analysis has shown that the spin-1/2 random Heisenberg chain is controlled by the infinite-randomness fixed point (IRFP) and forms a random […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, , , | Summary: Quenched disorders can strongly influence the physical properties of quantum many-body systems. The real-space strong-disorder renormalization group (SDRG) analysis has shown that the spin-1/2 random Heisenberg chain is controlled by the infinite-randomness fixed point (IRFP) and forms a random […]
Kavli Affiliate: Gang Su | First 5 Authors: Xing-Zhou Qu, Dai-Wei Qu, Wei Li, Gang Su, | Summary: The intriguing interplay between the two $e_g$ orbitals in the high-$T_c$ nickelate superconductor La$_3$Ni$_2$O$_7$ is studied via the density matrix renormalization group (DMRG) and finite-$T$ thermal tensor-network calculations. We consider a bilayer $t$-$J$ model that incorporates both […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Arda Demirhan, Jacob Miller, Yixu Qiu, Thomas J. Tucker, Zheng Zhu | Summary: We treat the problem of finding transitive subgroups G of S_n containing normal subgroups N_1 and N_2, with N_1 transitive and N_2 not transitive, such that G/N_1 is isomorphic G/N_2. We show that such […]
Kavli Affiliate: Gang Su | First 5 Authors: Xiang Li, Jia-Wen Li, Jing-Yang You, Gang Su, Bo Gu | Summary: Doping nonmagnetic semiconductors with magnetic impurities is a feasible way to obtain diluted magnetic semiconductors (DMSs). It is generally accepted that for the most extensively studied DMS, (Ga, Mn)As, its highest Curie temperature T$_{text{C}}$ was […]
Kavli Affiliate: Gang Su | First 5 Authors: Shi-Ju Ran, Gang Su, , , | Summary: It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-established mathematical tool originating from quantum mechanics, has shown its unique advantages […]