9 accepted papers
With the rapid advancement of deepfake technology, malicious face manipulations pose a significant threat to personal privacy and social security. However, existing proactive forensics methods typically treat deepfake detection, tampering localization, and source tracing as independent tasks, lackin
While multi-task learning based automatic radiology report generation (RRG) is widely adopted to ensure clinical consistency, most focus on architectural designs yet remain limited to coarse linear scalarization strategies. These strategies can not effectively balance the hard constraints of discrim…
The denoising diffusion probabilistic model (DDPM) for image inpainting transforms the input image to Gaussian noise by adding noise in the forward process, and reconstitution masked regions that are consistent with unmasked regions from pure noise in the reverse process. Recently, on inpainting met…
Recently, the image super-resolution (SR) has made remarkable progress. However, due to the proliferation of resource-constrained scenarios, the computational-intensive SR technology is limited in portable devices. Therefore, high efficiency and lightweight become the key factors of image SR in the…
Multimodal Sentiment Analysis (MSA) integrates diverse modalities—text, audio, and video—to comprehensively analyze and understand individuals’ emotional states. However, the real-world prevalence of incomplete data poses significant challenges to MSA, mainly due to the randomness of modality missin…
In recent years, it has been found that "grandmother cells" in the primary visual cortex (V1) of macaques can directly recognize visual input with complex shapes. This inspires us to examine the value of these cells in promoting the research of medical image segmentation. In this paper, we design a…
Violence detection is an application of anomaly detection, which is used to detect violence content in video clips. Using multimodal as input can improve the performance of violence detection. However, the existing MML Transformers-based fusion methods do not take into account the differences betwee…
As the image retrieval scheme continues to mature, many areas such as industrial and business have begun to apply more user-friendly techniques, namely image retrieval, instead of the text data retrieval technology. However, in some applications, the phenomenon of insufficient privacy protection for…
Cross-modal retrieval is a very challenging and significant task in intelligent understanding. Researchers have tried to capture modal semantic information through a weighted attention mechanism. Still, they cannot eliminate irrelevant semantic information's negative effects and cannot capture fine-…