Complex animated transitions may be easier to understand when divided into separate, consecutive stages. However, effective staging requires careful attention to both animation semantics and timing parameters. We pres...
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ISBN:
(纸本)9781665433358
Complex animated transitions may be easier to understand when divided into separate, consecutive stages. However, effective staging requires careful attention to both animation semantics and timing parameters. We present Gemini(2), a system for creating staged animations from a sequence of chart keyframes. Given only a start state and an end state, Gemini(2) can automatically recommend intermediate keyframes for designers to consider. The Gemini(2) recommendation engine leverages Gemini, our prior work, and GraphScape to itemize the given complex change into semantic edit operations and to recombine operations into stages with a guided order for clearly conveying the semantics. To evaluate Gemini(2)'s recommendations, we conducted a human-subject study in which participants ranked recommended animations from both Gemini(2) and Gemini. We find that Gemini(2)'s animation recommendation ranking is well aligned with subjects' preferences, and Gemini(2) can recommend favorable animations that Gemini cannot support.
Robust earthquake monitoring systems are essential in seismically active areas such as construction sites to ensures the construction site safety, protect people, property and ongoing operations. Traditional technique...
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A well-known method for rendering unstructured volumetric data is tetrahedral marching (tet marching), where rays are marched through a series of tetrahedral elements. However, existing tet marching techniques do not ...
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ISBN:
(纸本)9781665433358
A well-known method for rendering unstructured volumetric data is tetrahedral marching (tet marching), where rays are marched through a series of tetrahedral elements. However, existing tet marching techniques do not easily generalize to rays with arbitrary origin and direction required for advanced shading effects or non-convex meshes. Additionally, the memory footprint of these methods may exceed GPU memory limits. Interactive performance and high image quality are opposing goals. Our approach significantly lowers the burden to render unstructured datasets with high image fidelity while maintaining real-time and interactive performance even for large datasets. To this end, we leverage hardware-accelerated ray tracing to find entry and exit faces for a given ray into a volume and utilize a compact mesh representation to enable the efficient marching of arbitrary rays, thus allowing for advanced shading effects that ultimately yields more convincing and grounded images. Our approach is also robust, supporting both convex and non-convex unstructured meshes. We show that our method achieves interactive rates even with moderately-sized datasets while secondary effects are applied.
Obstacle detection problem is the most studied problem in computer vision. Methodologies of object detection generally work in a single modality, such as vision, Light Detection and Ranging (LiDAR), or laser. Multiple...
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In recent years, an increasing number of people are using information on the Internet to make their purchasing decisions. However, it is difficult to assess cosmetic items through online sources, because the value of ...
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ISBN:
(纸本)9781728197661
In recent years, an increasing number of people are using information on the Internet to make their purchasing decisions. However, it is difficult to assess cosmetic items through online sources, because the value of a cosmetic product depends on the user's skin quality and personal preferences. Therefore, we have developed a system that enables a customer to compare the characteristics of a cosmetic item easily by visualizing the differences between one they use and another they are thinking of buying. We have also developed a system that recommends cosmetic items based on the visualization of their various aspects. This paper describes these systems and provides a questionnaire. The answers to this survey will help us understand what is important to users as they choose their favorite cosmetics.
External sensing based on plate-like structures has attracted much attention in many applications as it can obtain important features of nearby objects in some complex and difficult-to-measure scenarios. In this paper...
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The goal of this work is to recognise phrases and sentences being spoken by a talking face, with or without the audio. Unlike previous works that have focussed on recognising a limited number of words or phrases, we t...
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The goal of this work is to recognise phrases and sentences being spoken by a talking face, with or without the audio. Unlike previous works that have focussed on recognising a limited number of words or phrases, we tackle lip reading as an open-world problem - unconstrained natural language sentences, and in the wild videos. Our key contributions are: (1) we compare two models for lip reading, one using a CTC loss, and the other using a sequence-to-sequence loss. Both models are built on top of the transformer self-attention architecture;(2) we investigate to what extent lip reading is complementary to audio speech recognition, especially when the audio signal is noisy;(3) we introduce and publicly release a new dataset for audio-visual speech recognition, LRS2-BBC, consisting of thousands of natural sentences from British television. The models that we train surpass the performance of all previous work on a lip reading benchmark dataset by a significant margin.
Virtual reality (VR) Head Mounted Display (HMD) is not something new for the development aspect, yet still young in terms of commercialization. Various previous studies have been seen to focus on the potential use of ...
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In this paper, we share several applications of semiconductor virtual fabrication. Topics include prototyping/visualization, unit process optimization, process targeting and window checks, and stress evolution. We wil...
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ISBN:
(数字)9798331504168
ISBN:
(纸本)9798331504175
In this paper, we share several applications of semiconductor virtual fabrication. Topics include prototyping/visualization, unit process optimization, process targeting and window checks, and stress evolution. We will demonstrate how virtual fabrication will be used to shape the future of semiconductor manufacturing, while saving time and money during semiconductor development.
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