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Showing 2901–2925 of 10696 papers

TitleStatusHype
AnyPlace: Learning Generalized Object Placement for Robot Manipulation—0
PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models—0
HD-EPIC: A Highly-Detailed Egocentric Video Dataset—0
Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images—0
Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture—0
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
Disentangling CLIP for Multi-Object Perception—0
Rethinking Vision Transformer for Object Centric Foundation ModelsCode0
Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling—0
Can You Move These Over There? An LLM-based VR Mover for Supporting Object Manipulation—0
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning—0
Neural Cellular Automata for Decentralized Sensing using a Soft Inductive Sensor Array for Distributed Manipulator Systems—0
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding—0
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning—0
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection—0
Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches—0
RUN: Reversible Unfolding Network for Concealed Object Segmentation—0
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms—0
Efficient Feature Fusion for UAV Object DetectionCode0
Efficient Interactive 3D Multi-Object Removal—0
DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications—0
Objects matter: object-centric world models improve reinforcement learning in visually complex environments—0
3D Reconstruction of non-visible surfaces of objects from a Single Depth View -- Comparative Study—0
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