Tootfinder

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
Vahid Danesh, Paul Arauz, Maede Boroji, Andrew Zhu, Mia Cottone, Elaine Gould, Fazel A. Khan, Imin Kao
https://arxiv.org/abs/2505.23984

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. Current navigation systems and patient-specific instruments, while accurate, present limitations including high costs, radiation exposure, workflow disruption, long production time, and lack of reusability. This study evaluates a real-time vision-guided surgical system combined with modular jigs to improve accuracy in pelvic bone tumor resections. A vision-g…

This video reminded me of my 5th grade teacher who mocked me in front of the class for giving the answer "Pasteurization" (attributed, according to her, to a "coincidence") to her question "what things have Louis Pasteur invented?"
(Hint: she was expecting "rabies vaccine" as an answer.)
https://www.

Waiting for Elon Musk's Neuralink Blindsight brain implant for restoring vision? Devices come and go. Check out the YouTube video about the earlier Dobelle brain implant from 2002 https://www.youtube.com/watch?v=7Uv0lrjKjZM Yes, here too circumventing the need for FDA approva…

Applying Vision Transformers on Spectral Analysis of Astronomical Objects
Luis Felipe Strano Moraes, Ignacio Becker, Pavlos Protopapas, Guillermo Cabrera-Vives
https://arxiv.org/abs/2506.00294

Applying Vision Transformers on Spectral Analysis of Astronomical Objects
We apply pre-trained Vision Transformers (ViTs), originally developed for image recognition, to the analysis of astronomical spectral data. By converting traditional one-dimensional spectra into two-dimensional image representations, we enable ViTs to capture both local and global spectral features through spatial self-attention. We fine-tune a ViT pretrained on ImageNet using millions of spectra from the SDSS and LAMOST surveys, represented as spectral plots. Our model is evaluated on key task…

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
Shivansh Patel, Shraddhaa Mohan, Hanlin Mai, Unnat Jain, Svetlana Lazebnik, Yunzhu Li
https://arxiv.org/abs/2507.00990

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
This work introduces Robots Imitating Generated Videos (RIGVid), a system that enables robots to perform complex manipulation tasks--such as pouring, wiping, and mixing--purely by imitating AI-generated videos, without requiring any physical demonstrations or robot-specific training. Given a language command and an initial scene image, a video diffusion model generates potential demonstration videos, and a vision-language model (VLM) automatically filters out results that do not follow the comm…

Lumana, which integrates vision-language models and agentic AI into its video surveillance system, raised a $40M Series A led by Wing Venture Capital (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/07/29/lumana-gets-40m-build-intel…

Lumana gets $40M to build more intelligent video surveillance systems - SiliconANGLE
Lumana gets $40M to build more intelligent video surveillance systems - SiliconANGLE

GamerAstra: Enhancing Video Game Accessibility for Blind and Low-Vision Players through a Multi-Agent AI Framework
Tianrun Qiu, Changxin Chen, Sizhe Cheng, Yiming Yang, Yixiao Guo, Zhicong Lu, Yuxin Ma
https://arxiv.org/abs/2506.22937

GamerAstra: Enhancing Video Game Accessibility for Blind and Low-Vision Players through a Multi-Agent AI Framework
Blind and low-vision (BLV) players encounter critical challenges in engaging with video games due to the inaccessibility of visual elements, difficulties in navigating interfaces, and limitations in sending interaction input. Moreover, the development of specialized accessibility features typically requires substantial programming effort and is often implemented on a game-by-game basis. To address these challenges, we introduce \textit{GamerAstra}, a generalized accessibility framework that lev…

Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
Guoping Xu, Jayaram K. Udupa, Yajun Yu, Hua-Chieh Shao, Songlin Zhao, Wei Liu, You Zhang
https://arxiv.org/abs/2507.22792

Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
Video Object Segmentation and Tracking (VOST) presents a complex yet critical challenge in computer vision, requiring robust integration of segmentation and tracking across temporally dynamic frames. Traditional methods have struggled with domain generalization, temporal consistency, and computational efficiency. The emergence of foundation models like the Segment Anything Model (SAM) and its successor, SAM2, has introduced a paradigm shift, enabling prompt-driven segmentation with strong gener…

LensCraft: Your Professional Virtual Cinematographer
Zahra Dehghanian, Morteza Abolghasemi, Hossein Azizinaghsh, Amir Vahedi, Hamid Beigy, Hamid R. Rabiee
https://arxiv.org/abs/2506.00988

LensCraft: Your Professional Virtual Cinematographer
Digital creators, from indie filmmakers to animation studios, face a persistent bottleneck: translating their creative vision into precise camera movements. Despite significant progress in computer vision and artificial intelligence, current automated filming systems struggle with a fundamental trade-off between mechanical execution and creative intent. Crucially, almost all previous works simplify the subject to a single point-ignoring its orientation and true volume-severely limiting spatial …

Neuralink Blindsight brain implant or The vOICe vision BCI? Informed consent means that Neuralink's blind patients at least know of The vOICe vision BCI #BCI