Kavli Affiliate: Eliska Greplova | First 5 Authors: Ana Silva, Eliska Greplova, , , | Summary: The goal of this tutorial is to provide an overview of the main principles behind randomized benchmarking techniques. A newcomer to the field faces the challenge that a considerable amount of background knowledge is required to get familiar with […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Ana Silva, Eliska Greplova, , , | Summary: Randomized benchmarking techniques have been an essential tool for assessing the performance of contemporary quantum devices. The goal of this tutorial is to provide a pedagogical, self-contained, introduction to randomized benchmarking. With this intention, every chapter is also supplemented […]
Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Wei Gao, Shan Liu, Ge Li, | Summary: Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervision signals. In response to this challenge, we introduce a novel perspective that imparts auxiliary constraints […]
Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Wei Gao, Shan Liu, Ge Li, | Summary: Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervision signals. In response to this challenge, we introduce a novel perspective that imparts auxiliary constraints […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we present a comprehensive analysis of causal image modeling and introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual representations. This modeling paradigm allows us to process images […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual representations. This modeling paradigm allows us to process images […]
Kavli Affiliate: Wei Gao | First 5 Authors: Dongshuai Duan, Honglei Su, Qi Liu, Hui Yuan, Wei Gao | Summary: No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work, we focus on the PCQA problem dedicated to Octree-RAHT encoding […]
Kavli Affiliate: Wei Gao | First 5 Authors: Dongshuai Duan, Honglei Su, Qi Liu, Hui Yuan, Wei Gao | Summary: No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work, we focus on the PCQA problem dedicated to Octree-RAHT encoding […]
Kavli Affiliate: Wei Gao | First 5 Authors: Juncheng Long, Honglei Su, Qi Liu, Hui Yuan, Wei Gao | Summary: No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work, we develop the first PCQA model dedicated to Trisoup-Lifting encoded […]