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Found 11 papers, 4 papers with code
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
Neural rendering techniques have significantly advanced 3D human body modeling.
Real-time VaR Calculations for Crypto Derivatives in kdb+/q
Cryptocurrency market is known for exhibiting significantly higher volatility than traditional asset classes.
Improving Continuous Sign Language Recognition with Cross-Lingual Signs
Experimentally, our approach achieves state-of-the-art performance on two widely-used CSLR datasets: Phoenix-2014 and Phoenix-2014T.
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
IAP optimizes only a separate Chinese text encoder with all other parameters fixed to align Chinese semantics space to the English one in CLIP.
Expressive Speech-driven Facial Animation with controllable emotions
It is in high demand to generate facial animation with high realism, but it remains a challenging task.
Two-Stream Network for Sign Language Recognition and Translation
RGB videos, however, are raw signals with substantial visual redundancy, leading the encoder to overlook the key information for sign language understanding.
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
Concretely, we pretrain the sign-to-gloss visual network on the general domain of human actions and the within-domain of a sign-to-gloss dataset, and pretrain the gloss-to-text translation network on the general domain of a multilingual corpus and the within-domain of a gloss-to-text corpus.
Ranked #2 on
Sign Language Translation
on CSL-Daily
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process.
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
However, one drawback of MRI is its comparatively slow scanning and reconstruction compared to other image modalities, limiting its usage in some clinical applications when imaging time is critical.
Learning to Manipulate Individual Objects in an Image
We describe a method to train a generative model with latent factors that are (approximately) independent and localized.
Non-unique games over compact groups and orientation estimation in cryo-EM
Let $\mathcal{G}$ be a compact group and let $f_{ij} \in L^2(\mathcal{G})$.
