Latest Research in Computer Vision and Pattern Recognition
33 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 23 papers
- Advanced Vision and Imaging — 5 papers
- Robotics — 3 papers
- Image and Video Processing — 1 papers
- Robotics and Sensor-Based Localization — 1 papers
Highest-Cited Papers
- Repurposing RGB-based Foundation Model for Depth Estimation on Thermal Images Using Hierarchical Supervision
- Improved Classification-Based Monocular Depth Estimation for Robust Generalization of Diverse Scenes
- DIDAF-Depth: Dual-Path Interaction and Dual-Attention Fusion Network for Self-Supervised Nighttime Monocular Depth Estimation
- Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors
- AI-based single-shot structured-light depth reconstruction for real-time laparoscopic surgical guidance
- Improved DPT-Hybrid for Monocular Depth Estimation with Geometry-Enhanced Encoding and Structure-Aware Gated Fusion
- A Vision-based Control Framework for Real-time Autonomous UUV Operations
- LiteMVS: Efficient Multi-View Stereo with Foundation Distillation and Expert Aggregation
- StereoVGGT: A Training-Free Visual Geometry Transformer for Stereo Vision
- LapCR-Net: A Lightweight Monocular Depth Estimation Network via Laplacian Residual Reconstruction
- XiDepth: a Lightweight and Efficient Network for Self-supervised Monocular Depth Estimation
- GeoStereo: A Unified Stereo Geometry Estimation Framework for Disparity and Surface Normal
- Accuracy Does Not Guarantee Human-Likeness: Cross-Domain Human-Centered Benchmark in Monocular Depth Estimation
- GIFT: Geometry-Invariant Fine-Tuning for Non-Lambertian Monocular Depth Estimation
- Breaking the Horizontal Prior: From Long-Tailed Orientation Bias to Roll-Robust Monocular Depth Estimation
- Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment
- Towards Robust Monocular Depth Estimation in Non-Lambertian Surfaces
- Beyond Visual Ambiguity: Guiding Robust Monocular Depth Estimation in Challenging Scenarios via Detailed Long Captions
- AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World
- WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing