147 skills found · Page 1 of 5
huang-xx / STGATSTGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
wentaoyuan / RoboPointA Vision-Language Model for Spatial Affordance Prediction in Robotics
r-spatial / GstatSpatial and spatio-temporal geostatistical modelling, prediction and simulation
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
LMissher / STGNNThe pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network
Mati365 / Micro Racing🚗 🏎️ 🎮 A browser-based isometric racing game built with a custom WebGL 1.x engine. Features real-time multiplayer with client-side prediction, spatial optimizations via quad trees, and AI opponents powered by neural networks trained through genetic algorithms.
ChenxiLiu-HNU / ST LLMOfficial implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"
ISRICWorldSoil / SoilGrids250mGlobal spatial predictions of soil properties and classes at 250 m resolution
Josephjiao7 / Geographical Gaussian Process RegressionGeographical Gaussian Process Regression (GGPR) model for spatial prediction and exploratory spatial data analysis
happinesslz / DrivePI[CVPR 2026] DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning
lzzzzzm / STCOcc[CVPR2025] STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction
BayraktarLab / Cell2fateInference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.
trainingl / STG4TrafficCode of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
bowang-lab / BLEEPSpatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
Sirui-Xu / STARS[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
FIBLAB / DeepSTN[AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
fudong03 / MMST ViTPyTorch Implementation of "MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer", accepted by ICCV 2023.
Yijunmaverick / FlowGrounded VideoPredictionThe source code of ECCV18 'Flow-Grounded Spatial-Temporal Video Prediction from Still Images'.
openlandmap / Scikit MapScikit-learn applied to mapping and spatial prediction
Jacobieee / ST MRGraph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
