Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

X Shi, Z Huang, FY Wang, W Bian, D Li… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
We introduce Motion-I2V, a novel framework for consistent and controllable text-guided
image-to-video generation (I2V). In contrast to previous methods that directly learn the …

End-to-end semi-supervised approach with modulated object queries for table detection in documents

I Ehsan, T Shehzadi, D Stricker, MZ Afzal - International Journal on …, 2024 - Springer
Table detection, a pivotal task in document analysis, aims to precisely recognize and locate
tables within document images. Although deep learning has shown remarkable progress in …

Thyroid-DETR: Thyroid nodule detection model with transformer in ultrasound images

YT Zhou, TY Yang, XH Han, JC Piao - Biomedical Signal Processing and …, 2024 - Elsevier
Deep learning-based object detection methods using ultrasound images to assist clinicians
in rapid and accurate diagnosis of thyroid nodules has been an attractive area of research …

High-performance mitosis detection using single-level feature and hybrid label assignment

J Han, S Wang, X Deng, W Liu - Image and Vision Computing, 2024 - Elsevier
Mitosis detection poses a significant challenge in medical image analysis, primarily due to
the substantial variability in the appearance and shape of mitotic targets. This paper …

Feature fusion means a lot to DETRs

X Huakai - Multimedia Tools and Applications, 2024 - Springer
Abstract The DEtection TRansformer (DETR) is a pioneering end-to-end object detector that
has garnered significant success. However, it is not without its shortcomings, as it is …

TransVOD: Transformer-Based Visual Object Detection for Self-Driving Cars

J Madake, T Lokhande, A Mali… - … on Current Trends in …, 2024 - ieeexplore.ieee.org
Detection of the objects using various models and technologies is performed within the
domain of computer vision. This has an application in the medical industry, automation, and …