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Found 11 papers, 2 papers with code
How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction
This work presents a novel First-person View based Trajectory predicting model (FvTraj) to estimate the future trajectories of pedestrians in a scene given their observed trajectories and the corresponding first-person view images.
MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo
Specifically, we first propose multi-granularity segmentation prior by integrating multi-granularity depth edges to restrict patch deformation within homogeneous areas.
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
Isolation Forest is used to quickly identify anomalous data points, and GAN is used to generate synthetic data with the real data distribution characteristics to augment the training dataset, while the Transformer is used for modeling and context extraction on time series data.
Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model
Image anomaly detection is a popular research direction, with many methods emerging in recent years due to rapid advancements in computing.
SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization
In this paper, we introduce Segmentation-Driven Deformation Multi-View Stereo (SD-MVS), a method that can effectively tackle challenges in 3D reconstruction of textureless areas.
EANet: Expert Attention Network for Online Trajectory Prediction
We introduce expert attention, which adjusts the weights of different depths of network layers, avoiding the model updated slowly due to gradient problem and enabling fast learning of new scenario's knowledge to restore prediction accuracy.
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo
The reconstruction of textureless areas has long been a challenging problem in MVS due to lack of reliable pixel correspondences between images.
XVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving
We presented a cross-view trajectory prediction method using shared 3D Queries (XVTP3D).
Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo
Multi-view stereo is an important research task in computer vision while still keeping challenging.
Ranked #13 on
3D Reconstruction
on DTU
Radiative Transport Based Flame Volume Reconstruction from Videos
The approach includes an economical data capture technique using inexpensive CCD cameras.
Simulation assisted machine learning
When sufficient system details are not known, one typically turns to machine learning, which builds a black-box model of the system using a large dataset of input sample features and outputs.
