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Found 11 papers, 1 papers with code
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
We present a lightweight solution for estimating spatially-coherent indoor lighting from a single RGB image.
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
We propose Continual AQA (CAQA) to refine models using sparse new data.
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
First, we introduce a hyperbolic text-image encoder to learn the sequential and multi-modal hierarchical features of text in hyperbolic space.
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
Text-driven human motion generation in computer vision is both significant and challenging.
Ranked #13 on
Motion Synthesis
on KIT Motion-Language
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
In this work, we propose the first precise hand-object reconstruction method in hyperbolic space, namely Dynamic Hyperbolic Attention Network (DHANet), which leverages intrinsic properties of hyperbolic space to learn representative features.
Evaluating Picture Description Speech for Dementia Detection using Image-text Alignment
We observe the difference between dementia and healthy samples in terms of the text's relevance to the picture and the focused area of the picture.
3D Reconstruction of Multiple Objects by mmWave Radar on UAV
The radar data is sent to a deep neural network model, which outputs the point cloud reconstruction of the multiple objects in the space.
Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning
Our evaluation shows that the best-performing model utilizes the memory recall task and categorical naming task from the Boston Naming Test, which achieved an accuracy of 80. 07% (F1-score of 0. 85) and 81. 13% (F1-score of 0. 89), respectively.
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
Speech pause is an effective biomarker in dementia detection.
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing
In this paper, we propose a novel parsing framework, Multi-Scale Dual-Branch Fully Convolutional Network (MSDB-FCN), for hand parsing tasks.
DOOBNet: Deep Object Occlusion Boundary Detection from an Image
Object occlusion boundary detection is a fundamental and crucial research problem in computer vision.
