Crafting Better Contrastive Views for Siamese Representation Learning

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiangyu Peng, Kai Wang, Zheng Zhu, Mang Wang, Yang You | Summary: Recent self-supervised contrastive learning methods greatly benefit from the Siamese structure that aims at minimizing distances between positive pairs. For high performance Siamese representation learning, one of the keys is to design good contrastive pairs. […]


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Unsupervised Long-Term Person Re-Identification with Clothes Change

Kavli Affiliate: Cheng Peng | First 5 Authors: Mingkun Li, Shupeng Cheng, Peng Xu, Xiatian Zhu, Chun-Guang Li | Summary: We investigate unsupervised person re-identification (Re-ID) with clothes change, a new challenging problem with more practical usability and scalability to real-world deployment. Most existing re-id methods artificially assume the clothes of every single person to […]


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Simulating Hydrodynamics in Cosmology with CRK-HACC

Kavli Affiliate: Katrin Heitmann | First 5 Authors: Nicholas Frontiere, J. D. Emberson, Michael Buehlmann, Joseph Adamo, Salman Habib | Summary: We introduce CRK-HACC, an extension of the Hardware/Hybrid Accelerated Cosmology Code (HACC), to resolve gas hydrodynamics in large-scale structure formation simulations of the universe. The new framework couples the HACC gravitational N-body solver with […]


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Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey

Kavli Affiliate: C. L. Kuo | First 5 Authors: LiteBIRD Collaboration, E. Allys, K. Arnold, J. Aumont, R. Aurlien | Summary: LiteBIRD, the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. The Japan Aerospace Exploration Agency (JAXA) […]


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Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Kavli Affiliate: Li Xin Li | First 5 Authors: Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang | Summary: Multi-modal fusion is a fundamental task for the perception of an autonomous driving system, which has recently intrigued many researchers. However, achieving a rather good performance is not an easy task due to the […]


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Intensity interferometry for ultralight bosonic dark matter detection

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Hector Masia-Roig, Nataniel L. Figueroa, Ariday Bordon, Joseph A. Smiga, Yevgeny V. Stadnik | Summary: Ultralight bosonic dark matter (UBDM) can be described by a classical wave-like field oscillating near the Compton frequency of the bosons. If a measurement scheme for the direct detection of UBDM […]


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Intensity interferometry for ultralight bosonic dark matter detection

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Hector Masia-Roig, Nataniel L. Figueroa, Ariday Bordon, Joseph A. Smiga, Yevgeny V. Stadnik | Summary: Ultralight bosonic dark matter (UBDM) can be described by a classical wave-like field oscillating near the Compton frequency of the bosons. If a measurement scheme for the direct detection of UBDM […]


Continue.. Intensity interferometry for ultralight bosonic dark matter detection

Intensity interferometry for ultralight bosonic dark matter detection

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Hector Masia-Roig, Nataniel L. Figueroa, Ariday Bordon, Joseph A. Smiga, Yevgeny V. Stadnik | Summary: Ultralight bosonic dark matter (UBDM) can be described by a classical wave-like field oscillating near the Compton frequency of the bosons. If a measurement scheme for the direct detection of UBDM […]


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Memory Defense: More Robust Classification via a Memory-Masking Autoencoder

Kavli Affiliate: Dan Luo | First 5 Authors: Eashan Adhikarla, Dan Luo, Brian D. Davison, , | Summary: Many deep neural networks are susceptible to minute perturbations of images that have been carefully crafted to cause misclassification. Ideally, a robust classifier would be immune to small variations in input images, and a number of defensive […]


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Tunable bilayer Hubbard model physics in twisted WSe2

Kavli Affiliate: Jie Shan | First 5 Authors: Yang Xu, Kaifei Kang, Kenji Watanabe, Takashi Taniguchi, Kin Fai Mak | Summary: Moir’e materials with flat electronic bands provide a highly controllable quantum system for studies of strong-correlation physics and topology. In particular, angle-aligned heterobilayers of semiconducting transition metal dichalcogenides (TMDs) with large band offset realize […]


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