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Found 12 papers, 2 papers with code
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition
In addition, a dedicated temporal convolution is applied at each level to learn short-term temporal features, which will be carried over from shallow to deep layers to maximize the leverage of low-level details.
CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation
Speech-driven 3D facial animation technology has been developed for years, but its practical application still lacks expectations.
Embedded Representation Learning Network for Animating Styled Video Portrait
The talking head generation recently attracted considerable attention due to its widespread application prospects, especially for digital avatars and 3D animation design.
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation
Recently, image-to-3D approaches have achieved significant results with a natural image as input.
Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach
Effective macroeconomic policies play a crucial role in promoting economic growth and social stability.
Few-shot Shape Recognition by Learning Deep Shape-aware Features
Thirdly, we propose a decoding module to include the supervision of shape masks and edges and align the original and reconstructed shape features, enforcing the learned features to be more shape-aware.
Unsupervised Visual Defect Detection with Score-Based Generative Model
Thus, we focus on the unsupervised visual defect detection and localization tasks and propose a novel framework based on the recent score-based generative models, which synthesize the real image by iterative denoising through stochastic differential equations (SDEs).
Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge
Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much higher than ever before.
Music2Dance: DanceNet for Music-driven Dance Generation
Synthesize human motions from music, i. e., music to dance, is appealing and attracts lots of research interests in recent years.
Ranked #5 on
Motion Synthesis
on AIST++
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
Specifically, we propose a two-stage kin-face generation model to predict the appearance of a child given a pair of parents.
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network
To accelerate the model, we propose an efficient network structure to accelerate the evolutionary learning process through a factorization strategy.
Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection
Over the years many ellipse detection algorithms spring up and are studied broadly, while the critical issue of detecting ellipses accurately and efficiently in real-world images remains a challenge.
