Tootfinder

Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees
Jianshun Zhang, Fang Wang, Sheng Qiu, Yi Wang, Jiaxin Ou, Junxun Huang, Baoquan Li, Peng Fang, Dan Feng
https://arxiv.org/abs/2508.13909

Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees
Key-Value Stores (KVS) implemented with log-structured merge-tree (LSM-tree) have gained widespread acceptance in storage systems. Nonetheless, a significant challenge arises in the form of high write amplification due to the compaction process. While KV-separated LSM-trees successfully tackle this issue, they also bring about substantial space amplification problems, a concern that cannot be overlooked in cost-sensitive scenarios. Garbage collection (GC) holds significant promise for space amp…

CoreEditor: Consistent 3D Editing via Correspondence-constrained Diffusion
Zhe Zhu, Honghua Chen, Peng Li, Mingqiang Wei
https://arxiv.org/abs/2508.11603 https://

CoreEditor: Consistent 3D Editing via Correspondence-constrained Diffusion
Text-driven 3D editing seeks to modify 3D scenes according to textual descriptions, and most existing approaches tackle this by adapting pre-trained 2D image editors to multi-view inputs. However, without explicit control over multi-view information exchange, they often fail to maintain cross-view consistency, leading to insufficient edits and blurry details. We introduce CoreEditor, a novel framework for consistent text-to-3D editing. The key innovation is a correspondence-constrained attentio…

'Want to Hang By a Tree?': Tesla Supervisor Said Only Black Workers Who’d Accept Being Called the N-Word Should Be Hired, Lawsuit Claims
https://atlantablackstar.com/2025/09/13/tesla-supervisor-said-only-black-workers-whod-accept-being-called-the-n-word-should-be-hired/

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
Haodong Li, Shuo Han, Haiyang Mao, Yu Shi, Changsheng Fang, Jianjia Zhang, Weiwen Wu, Hengyong Yu
https://arxiv.org/abs/2509.13576

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
Sparse-View CT (SVCT) reconstruction enhances temporal resolution and reduces radiation dose, yet its clinical use is hindered by artifacts due to view reduction and domain shifts from scanner, protocol, or anatomical variations, leading to performance degradation in out-of-distribution (OOD) scenarios. In this work, we propose a Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction (CDPIR) framework to tackle the OOD problem in SVCT. CDPIR integrates cross-distribution diffusion …

TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations
Xinyi Yin, Wenbo Yuan, Xuecheng Wu, Liangyu Fu, Danlei Huang
https://arxiv.org/abs/2508.11478

TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations
Abnormal Human Behavior Detection (AHBD) under special scenarios is becoming increasingly crucial. While YOLO-based detection methods excel in real-time tasks, they remain hindered by challenges including small objects, task conflicts, and multi-scale fusion in AHBD. To tackle them, we propose TACR-YOLO, a new real-time framework for AHBD. We introduce a Coordinate Attention Module to enhance small object detection, a Task-Aware Attention Module to deal with classification-regression conflicts,…

Interessante Frage meines Kumpels:
https://mastodon.social/@mrhanswurst/115377078879750331

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12618

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
High-dimensional recordings of dynamical processes are often characterized by a much smaller set of effective variables, evolving on low-dimensional manifolds. Identifying these latent dynamics requires solving two intertwined problems: discovering appropriate coarse-grained variables and simultaneously fitting the governing equations. Most machine learning approaches tackle these tasks jointly by training autoencoders together with models that enforce dynamical consistency. We propose to decou…

'Honk If You Hate Elon:' Two Days of Protest at the Tesla Diner https://www.404media.co/honk-if-you-hate-elon-two-days-of-protest-at-the-tesla-diner/

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Harold Haodong Chen, Haojian Huang, Qifeng Chen, Harry Yang, Ser-Nam Lim
https://arxiv.org/abs/2508.10858

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Recent advancements in video generation have enabled the creation of high-quality, visually compelling videos. However, generating videos that adhere to the laws of physics remains a critical challenge for applications requiring realism and accuracy. In this work, we propose PhysHPO, a novel framework for Hierarchical Cross-Modal Direct Preference Optimization, to tackle this challenge by enabling fine-grained preference alignment for physically plausible video generation. PhysHPO optimizes vid…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/3]:
- Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
Li, Du, Yu, Li, Zhao, Liu, Jiang, Zhu, Huang