Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Madyson G. Barber, Pa Chia Thao, Andrew W. Mann, Andrew Vanderburg, Mayuko Mori | Summary: The youngest ($<$50 Myr) planets are vital to understand planet formation and early evolution. The 17 Myr system HIP 67522 is already known to host a giant ($simeq$10$R_oplus$) planet on a tight […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, A. Mert Bozkurt | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing Kitaev chains with Majorana zero modes. So far, experiments have implemented a two-site chain with limited protection. […]
Kavli Affiliate: Blake Sherwin | First 5 Authors: Noah Sailer, Joshua Kim, Simone Ferraro, Mathew S. Madhavacheril, Martin White | Summary: We infer the growth of large scale structure over the redshift range $0.4lesssim z lesssim 1$ from the cross-correlation of spectroscopically calibrated Luminous Red Galaxies (LRGs) selected from the Dark Energy Spectroscopic Instrument (DESI) […]
Kavli Affiliate: Ke Wang | First 5 Authors: Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang | Summary: In autonomous driving, the temporal stability of 3D object detection greatly impacts the driving safety. However, the detection stability cannot be accessed by existing metrics such as mAP and MOTA, and consequently is less explored […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]