Tootfinder

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
Yuan Wang, Jiaxiang Liu, Shujian Gao, Bin Feng, Zhihang Tang, Xiaotang Gai, Jian Wu, Zuozhu Liu
https://arxiv.org/abs/2506.19610

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
Recent advances in multimodal techniques have led to significant progress in Medical Visual Question Answering (Med-VQA). However, most existing models focus on global image features rather than localizing disease-specific regions crucial for diagnosis. Additionally, current research tends to emphasize answer accuracy at the expense of the reasoning pathway, yet both are crucial for clinical decision-making. To address these challenges, we propose From Vision to Text Chain-of-Thought (V2T-CoT),…

Vacuum energy in effective field theory of general relativity
E. Epelbaum, J. Gegelia, Ulf-G. Mei{\ss}ner
https://arxiv.org/abs/2506.19182 https://

Vacuum energy in effective field theory of general relativity
It is shown to all orders of perturbation theory that in the effective field theory of general relativity the condition of vanishing of the vacuum energy leads to the same value of the cosmological constant, viewed as a parameter of the effective Lagrangian, as obtained by demanding the consistency of the effective field theory in Minkowski background. The resulting effective action is characterized by the cosmological constant term that vanishes exactly.

L'économie russe va mal, et c'est une bonne nouvelle pour l'Ukraine et l'Europe.
https://legrandcontinent.eu/fr/2025/05/23/economie-russe-pour-comp…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/5]:
- Flash-VStream: Efficient Real-Time Understanding for Long Video Streams
Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Xiaojie Jin

🤩 Surgical microscope uses 48 tiny cameras to offer precise 3D imaging
#imaging

Surgical microscope uses 48 tiny cameras to offer precise 3D imaging
For over a century, surgeons performing delicate procedures have relied on stereoscopic microscopes to gain a sense of depth. These tools mimic human vision by presenting slightly different images to each eye, allowing the brain to perceive three-dimensional structures—a crucial aid when working with fragile blood vessels or intricate brain tissue. Despite modern upgrades like digital displays and video capture, today's operating microscopes still depend on the same core principle: two views,…

Vision Transformer attention alignment with human visual perception in aesthetic object evaluation
Miguel Carrasco, C\'esar Gonz\'alez-Mart\'in, Jos\'e Aranda, Luis Oliveros
https://arxiv.org/abs/2507.17616

Vision Transformer attention alignment with human visual perception in aesthetic object evaluation
Visual attention mechanisms play a crucial role in human perception and aesthetic evaluation. Recent advances in Vision Transformers (ViTs) have demonstrated remarkable capabilities in computer vision tasks, yet their alignment with human visual attention patterns remains underexplored, particularly in aesthetic contexts. This study investigates the correlation between human visual attention and ViT attention mechanisms when evaluating handcrafted objects. We conducted an eye-tracking experimen…

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos
Qixin Wang, Songtao Zhou, Zeyu Jin, Chenglin Guo, Shikun Sun, Xiaoyu Qin
https://arxiv.org/abs/2506.16716

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos
Automatic video commentary systems are widely used on multimedia social media platforms to extract factual information about video content. However, current systems may overlook essential para-linguistic cues, including emotion and attitude, which are critical for fully conveying the meaning of visual content. The absence of these cues can limit user understanding or, in some cases, distort the video's original intent. Expressive speech effectively conveys these cues and enhances the user's com…

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst
https://arxiv.org/abs/2507.14651

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Hybrid vision transformers combine the elements of conventional neural networks (NN) and vision transformers (ViT) to enable lightweight and accurate detection. However, several challenges remain for their efficient deployment on resource-constrained edge devices. The hybrid models suffer from a widely diverse set of NN layer types and large intermediate data tensors, hampering efficient hardware acceleration. To enable their execution at the edge, this paper proposes innovations across the har…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/4]:
- LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
Chenjian Gao, Lihe Ding, Xin Cai, Zhanpeng Huang, Zibin Wang, Tianfan Xue

BetterCheck: Towards Safeguarding VLMs for Automotive Perception Systems
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu, Christian Berger
https://arxiv.org/abs/2507.17722

BetterCheck: Towards Safeguarding VLMs for Automotive Perception Systems
Large language models (LLMs) are growingly extended to process multimodal data such as text and video simultaneously. Their remarkable performance in understanding what is shown in images is surpassing specialized neural networks (NNs) such as Yolo that is supporting only a well-formed but very limited vocabulary, ie., objects that they are able to detect. When being non-restricted, LLMs and in particular state-of-the-art vision language models (VLMs) show impressive performance to describe eve…