Search Results for author:
Found 7 papers, 3 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.
G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images
Novel view synthesis aims to generate new view images of a given view image collection.
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving
To mitigate the challenges arising from partial occlusion in human pose keypoint based pedestrian detection methods , we present a novel pedestrian pose keypoint completion method called the separation and dimensionality reduction-based generative adversarial imputation networks (SDR-GAIN) .
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Self-supervised monocular depth estimation has shown impressive results in static scenes.
Indoor Monocular Depth Estimation
Monocular Depth Estimation
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Improving Monocular Visual Odometry Using Learned Depth
The core of our framework is a monocular depth estimation module with a strong generalization capability for diverse scenes.
Pseudo-LiDAR Based Road Detection
Specifically, we exploit pseudo-LiDAR using depth estimation, and propose a feature fusion network where RGB and learned depth information are fused for improved road detection.
Shedding some light on Light Up with Artificial Intelligence
This project is an effort to apply new AI techniques for solving the Light-up puzzle faster and more computationally efficient.
