Due to the complex underground conditions, the logging data are often distorted or missing which brings great challenges to the work of well logging. Precise prediction of logging curve is critical for the exploration and development of the petroleum ...

Chinese Spelling Check (CSC) is a meaningful task in the area of natural language processing, which aims at detecting spelling errors in Chinese texts and then correcting these errors. Current typical CSC models have shown impressive performance in ...

• A flexible job shop scheduling problem with worker shift arrangement is studied.
• Job priority, limited resources, and resource unavailability constraints are involved.
• Production resources, process sequencing, and worker shifts are ...

Due to the involvement of workers, scheduling production jobs necessitates consideration of worker shifts in most production activities. In this study, we address a flexible job shop scheduling problem with worker shift arrangement, considering ...

Understanding the speaking style, such as the emotion of the interlocutor's speech, and responding with speech in an appropriate style is a natural occurrence in human conversations. However, technically, existing research on speech synthesis and ...

The latest Text-to-Speech (TTS) systems can produce speech with voice quality and naturalness comparable to human speech. Yet the demand for large amount of high-quality data from target speakers remains a significant challenge. Particularly for long-...

With the rapid advancements of large-scale text-to-image diffusion models, various practical applications have emerged, bringing significant convenience to society. However, model developers may misuse the unauthorized data to train diffusion models. ...

The rapid advancement of deepfake technology poses significant threats to social trust. Although recent deepfake detectors have exhibited promising results on deepfakes of the same type as those present in training, their effectiveness degrades ...

With the boom in personal images, cloud services are beginning to take on a significant role in image storage. However, images uploaded to the cloud will face new privacy threats. Image privacy can be effectively protected using traditional ...

Recent multi-modal fake news detection methods often use the consistency between textual and visual contents to determine the truth or fake of a news information. Higher levels of textual-visual consistency typically lead to a greater likelihood of ...

In general, diffusion model-based MRI reconstruction methods incrementally remove artificially added noise while imposing data consistency to reconstruct the underlying images. However, real-world MRI acquisitions already contain inherent noise ...

Glaucoma is one of the leading causes of irreversible blindness worldwide. Predicting the future status of glaucoma is essential for early detection and timely intervention of potential patients and avoiding the outcome of blindness. Based on ...

The introduction of assistive construction robots can significantly alleviate physical demands on construction workers while enhancing both the productivity and safety of construction projects. Leveraging a Building Information Model (BIM) offers ...

• A BIM framework to support human-robot collaborative construction.
• Technical and physical setup solutions from the preparation stage to end-of-work.
• Automatic generation of interactive digital twin from the BIM and construction ...

Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most existing performance prediction methods heavily rely on the source data ...

Understanding human activity is a crucial yet intricate task in egocentric vision, a field that focuses on capturing visual perspectives from the camera wearer’s viewpoint. Traditional methods heavily rely on representation learning that is ...

Stories and emotions in movies emerge through the effect of well-thought-out directing decisions, in particular camera placement and movement over time. Crafting compelling camera trajectories remains a complex iterative process, even for skilful ...

Existing NeRF-based instance segmentation methods lift 2D annotated or predicted semantic and instance masks into 3D through radiance field, but still insufficient in segmenting on the unlabeled semantic classes. The Segment Anything Model (SAM) ...

Incorporating adversarial perturbations into images to fool Deepfake models is a pivotal strategy in defending against manipulated content. However, most existing methods are image-specific, necessitating iterative optimization of perturbation for ...

We present a report on the Collab-a-thon, a series of sessions at the European Conference on Information Retrieval (ECIR) 2024 designed to help foster new collaborations during a conference. This report presents the motivation and design of the Collab-a-...

Monocular scene flow estimation is a task that allows us to obtain 3D structure and 3D motion from consecutive monocular images. Previous monocular scene flow usually focused on the enhancement of image features and motion features directly while ...

With the transformation of modern vocational education, the cultivation of social interaction ability of secondary vocational school students has received more and more attention. This study aims to explore the influence of family education on the ...