The evolution of autonomous driving has made remark-able advancements in recent years, evolving into a tangible reality. However, human-centric large-scale adoption hinges on meeting variety multifaceted requirements. To ensure that the system meets user's intent, it is essential to accurately discern and interpret user commands, especially complex or emergency situations. this end, we propose leverage reasoning capabilities Large Language Models (LLMs) infer requirements from in-cabin...

Facial retouching is widely used in media and entertainment industry. Professional software usually require a minimum level of user expertise to achieve the desirable results. In this paper, we present an algorithm detect facial wrinkles/imperfection. We believe that any such would be amenable applications. The detection wrinkles/imperfections can allow these skin features processed differently than surrounding without much interaction. For detection, Gabor filter responses along with...

Automatic facial wrinkles detection and inpainting algorithms have gained attention of researchers in cosmetics, forensics computer vision. The majority current was implemented on the whole face, despite fact that only imperfections need inpainting. In general, definition an imperfection is sign ageing, spot, scar freckles. This paper focuses as it obvious ageing. We survey vision techniques localisation from to present a comprehensive literature review benchmark datasets, automated...

This paper presents results on the assessment of facial wrinkles as a soft biometrics. Recently, several micro features such moles, scars, freckles, etc. have been used in addition to more common for face recognition. The discriminative power has not evaluated. In this we present our experiments evaluating recognizing subjects. We treat set from an image curve pattern and find similarity between patterns two Several metrics based Hausdorff distance curve-to-curve correspondences are...

Hepatic steatosis is a defining feature of nonalcoholic fatty liver disease, emerging with the increasing incidence obesity and metabolic syndrome. The research in image-based analysis hepatic mostly focuses on quantification fat biopsy images. This work furthers by exploring spatial characteristics globules whole slide images after performing detection. An algorithm based morphological filtering sparse linear models presented for Then properties detected relation to anatomical structures...

In this paper, we present a new generative model for wrinkles on aging human faces based Markov Point Processes (MPP) where are considered as stochastic spatial arrangements of sequences line segments. The is then used in Bayesian framework to localize the images. faces, mostly appear discontinuities surrounding grayscale texture. intensity gradients due enhanced using filters and data detect more probable locations directions Wrinkles localized by sampling MPP Reversible Jump Chain Monte...

The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality. However, human-centric large-scale adoption hinges on meeting variety multifaceted requirements. To ensure that the system meets user's intent, it is essential to accurately discern and interpret user commands, especially complex or emergency situations. this end, we propose leverage reasoning capabilities Large Language Models (LLMs) infer requirements from in-cabin users'...

Multi-compartmental models are popular to resolve intra-voxel fiber heterogeneity. One such model is the mixture of central Wishart distributions. In this paper, we use our recently proposed ...

This paper presents image-based quantitative evaluation of subtle variations in facial wrinkles for the same subject response to a dermatological treatment. is novel application because time series images over shorter period weeks are analyzed as compared more prevalent inter-person analysis skin/marks. We propose image features based on Gabor filter bank an accurate wrinkles. Since very small weeks, we framework compare key wrinkle sites only while excluding noise introduced by non-wrinkle...

3D object detection at long-range is crucial for ensuring the safety and efficiency of self-driving cars, allowing them to accurately perceive react objects, obstacles, potential hazards from a distance. But most current state-of-the-art LiDAR based methods are limited by sparsity range sensors, which generates form domain gap between points closer farther away ego vehicle. Another related problem label imbalance faraway inhibits performance Deep Neural Networks long-range. Although image...

As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods autonomous driving. In this paper, we propose a framework to formalize task for trajectory of traffic participants. Within our framework, inspired by random masked model natural language processing (NLP) and computer vision (CV), objects' positions at timesteps are then filled learned neural network (NN). By changing mask profile, can easily switch among...

Addressing hard cases in autonomous driving, such as anomalous road users, extreme weather conditions, and complex traffic interactions, presents significant challenges. To ensure safety, it is crucial to detect manage these scenarios effectively for driving systems. However, the rarity high-risk nature of demand extensive, diverse datasets training robust models. Vision-Language Foundation Models (VLMs) have shown remarkable zero-shot capabilities being trained on extensive datasets. This...

Psoriasis is a skin disorder which typically consists of red plaques covered by silvery-white scales. The extent the psoriasis lesion has to be assessed in determining treatment efficacy. PASI (Psoriasis Area and Severity Index) gold standard for assessing lesion. Scaliness one parameters scoring. However, this parameter found subjective as there are inter intra observer variations. In work, we develop an image processing method scaliness converts depth information 3D images (surfaces) into...

As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods autonomous driving. In this paper, we propose a framework to formalize task for trajectory of traffic participants. Within our framework, inspired by random masked model natural language processing (NLP) and computer vision (CV), objects' positions at timesteps are then filled learned neural network (NN). By changing mask profile, can easily switch among...