Latest Research in Computer Vision and Pattern Recognition
90 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Robotics — 71 papers
- Computer Vision and Pattern Recognition — 7 papers
- Robot Manipulation and Learning — 5 papers
- Computation and Language — 2 papers
- Advanced Sensor and Energy Harvesting Materials — 1 papers
- Information Retrieval — 1 papers
- Artificial Intelligence — 1 papers
- Natural Language Processing Techniques — 1 papers
- Reinforcement Learning in Robotics — 1 papers
Highest-Cited Papers
- A survey on large model-driven embodied grasping technologies
- Skeleton-guided geometry-aware auto-labeling for robotic grasping: From 4-DoF learning to 6-DoF execution
- ForwardDLO: Model-Based Bimanual Shape Matching of Unconstrained Deformable Linear Objects
- TacSushi: Tactile-Grounded World-Action Modeling for Dexterous Sushi Manipulation
- RotateIt! Fast and Reliable Single-Arm Garment Unfolding via Online-Adaptive Dynamic Rotation
- VT-MUSE: Multimodal Unified Sequential Visuotactile Representation Learning for Manipulation
- DeformSmith: Physics Harness-Guided Hierarchical Generation of Deformable Assets for Robot Manipulation
- Execution-Aware Pre-Execution Ranking for Grasp-Conditioned Robotic Placement
- FlipToSee: A Probabilistic Stable Placement Prior for Active Visual Exploration via Regrasping
- TouchSight: Bare-Handed Tactile Prediction from Egocentric Video via Generative Visual Augmentation
- DexTouch-WM: Learning Action-Conditioned Tactile World Models from Human Touch for Dexterous Robot Manipulation
- Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation
- PhysVGGT: Feed-Forward Dense Physical Property Estimation from A Single Image
- DeformGrasp: A Human-Guided and Synthetic Data Framework for Learning-Based Deformable Object Grasping Using Anthropomorphic Robot Hands
- TacBPM: A Tactile-conditioned Behavior Prior Model for Dexterous Reorientation
- Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion
- InterMASH: A Unified Geometric Representation for Grasp Synthesis
- Primitive-Informed Sampling-Based MPC for Multi-Fingered Dexterous Manipulation
- PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics
- Grasping by interconnection: robust closing motions from coarse object templates