Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XXIV. 54 New Quasars and Candidate Obscured Quasars at $5.71 le z le 7.02$

Kavli Affiliate: John D. Silverman | First 5 Authors: Yoshiki Matsuoka, Yoshiki Matsuoka, , , | Summary: We present spectroscopic identification of 43 quasars and 11 candidate obscured quasars in the epoch of reionization (EoR) at $5.71 le z le 7.02$, along with 29 galaxies at similar redshifts. This is the 24th publication from the […]


Continue.. Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XXIV. 54 New Quasars and Candidate Obscured Quasars at $5.71 le z le 7.02$

Interspecies Organoids Reveal Human-Specific Molecular Features of Dopaminergic Neuron Development and Vulnerability

Kavli Affiliate: Alex Pollen | Authors: Sara Nolbrant, Jenelle L. Wallace, Jingwen Ding, Tianjia Zhu, Jess L. Sevetson, Janko Kajtez, Isabella A. Baldacci, Emily K. Corrigan, Kaylynn Hoglin, Reed McMullen, Matthew T. Schmitz, Arnar Breevoort, Dani Swope, Fengxia Wu, Bryan J. Pavlovic, Sofie R. Salama, Agnete Kirkeby, Hao Huang, Nathan K. Schaefer and Alex A. […]


Continue.. Interspecies Organoids Reveal Human-Specific Molecular Features of Dopaminergic Neuron Development and Vulnerability

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Kavli Affiliate: Feng Wang | First 5 Authors: Ao Shen, Ao Shen, , , | Summary: Computed Tomography (CT)/X-ray registration in image-guided navigation remains challenging because of its stringent requirements for high accuracy and real-time performance. Traditional "render and compare" methods, relying on iterative projection and comparison, suffer from spatial information loss and domain gap. […]


Continue.. RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Tissue-specific clonal selection and differentiation of CD4+ T cells during infection

Kavli Affiliate: Daniel Mucida | Authors: Roham Parsa, Helder Carvalho de Assis, Tiago B.R. de Castro, Gabriella Lima dos Reis, Harald Hartweger, Angelina Bilate and Daniel Mucida | Summary: Pathogen-specific CD4⁺ T cells undergo dynamic expansion and contraction during infection, ultimately generating memory clones that shape the subsequent immune responses. However, the influence of distinct […]


Continue.. Tissue-specific clonal selection and differentiation of CD4+ T cells during infection

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Kavli Affiliate: Feng Yuan | First 5 Authors: Yifan Gao, Yifan Gao, , , | Summary: Foundation models pre-trained on large-scale natural image datasets offer a powerful paradigm for medical image segmentation. However, effectively transferring their learned representations for precise clinical applications remains a challenge. In this work, we propose Dino U-Net, a novel encoder-decoder […]


Continue.. Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Chenhao Zhang, Chenhao Zhang, , , | Summary: Dynamic point cloud compression (DPCC) is crucial in applications like autonomous driving and AR/VR. Current compression methods face challenges with complexity management and rate control. This paper introduces a novel dynamic coding framework that supports variable bitrate and computational […]


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Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network

Kavli Affiliate: Wei Gao | First 5 Authors: Chenhao Zhang, Chenhao Zhang, , , | Summary: Neural Video Compression (NVC) has achieved remarkable performance in recent years. However, precise rate control remains a challenge due to the inherent limitations of learning-based codecs. To solve this issue, we propose a dynamic video compression framework designed for […]


Continue.. Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network

Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking

Kavli Affiliate: Wei Gao | First 5 Authors: TianChen Huang, TianChen Huang, , , | Summary: Traversing narrow beams is challenging for humanoids due to sparse, safety-critical contacts and the fragility of purely learned policies. We propose a physically grounded, two-stage framework that couples an XCoM/LIPM footstep template with a lightweight residual planner and a […]


Continue.. Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking

Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking

Kavli Affiliate: Wei Gao | First 5 Authors: TianChen Huang, TianChen Huang, , , | Summary: Traversing narrow beams is challenging for humanoids due to sparse, safety-critical contacts and the fragility of purely learned policies. We propose a physically grounded, two-stage framework that couples an XCoM/LIPM footstep template with a lightweight residual planner and a […]


Continue.. Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking