Papers Object
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DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
Real-world object detection systems, such as those in autonomous driving and surveillance, must continuously learn new object categories and simultaneously adapt to changing environmental conditions. Existing approaches,…
Autonomous DrivingAvgClass-Incremental Object DetectionExemplar-Free+5Controllable 3D Placement of Objects with Scene-Aware Diffusion Models
Image editing approaches have become more powerful and flexible with the advent of powerful text-conditioned generative models. However, placing objects in an environment with a precise location and orientation still rem…
ObjectDreamAnywhere: Object-Centric Panoramic 3D Scene Generation
Recent advances in text-to-3D scene generation have demonstrated significant potential to transform content creation across multiple industries. Although the research community has made impressive progress in addressing …
Novel View SynthesisObjectScene GenerationScene Understanding+1Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception
Deep object pose estimators are notoriously overconfident. A grasping agent that both estimates the 6-DoF pose of a target object and predicts the uncertainty of its own estimate could avoid task failure by choosing not …
ObjectPose EstimationRobotic GraspingUncertainty QuantificationUSVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways
Object tracking in inland waterways plays a crucial role in safe and cost-effective applications, including waterborne transportation, sightseeing tours, environmental monitoring and surface rescue. Our Unmanned Surface …
Autonomous DrivingObjectObject TrackingClass Agnostic Instance-level Descriptor for Visual Instance Search
Despite the great success of the deep features in content-based image retrieval, the visual instance search remains challenging due to the lack of effective instance level feature representation. Supervised or weakly sup…
Content-Based Image RetrievalImage RetrievalInstance SearchObject+3RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking
We introduce a robust framework, RGBTrack, for real-time 6D pose estimation and tracking that operates solely on RGB data, thereby eliminating the need for depth input for such dynamic and precise object pose tracking ta…
6D Pose EstimationObjectObject TrackingPose Estimation+1Learning Dexterous Object Handover
Object handover is an important skill that we use daily when interacting with other humans. To deploy robots in collaborative setting, like houses, being able to receive and handing over objects safely and efficiently be…
ObjectReinforcement Learning (RL)Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos
Modeling the dynamics of deformable objects is challenging due to their diverse physical properties and the difficulty of estimating states from limited visual information. We address these challenges with a neural dynam…
ObjectMCOO-SLAM: A Multi-Camera Omnidirectional Object SLAM System
Object-level SLAM offers structured and semantically meaningful environment representations, making it more interpretable and suitable for high-level robotic tasks. However, most existing approaches rely on RGB-D sensors…
ObjectObject SLAMRetrospective Memory for Camouflaged Object Detection
Camouflaged object detection (COD) primarily focuses on learning subtle yet discriminative representations from complex scenes. Existing methods predominantly follow the parametric feedforward architecture based on stati…
Objectobject-detectionObject DetectionObject-Centric Neuro-Argumentative Learning
Over the last decade, as we rely more on deep learning technologies to make critical decisions, concerns regarding their safety, reliability and interpretability have emerged. We introduce a novel Neural Argumentative Le…
Deep LearningObjectJENGA: Object selection and pose estimation for robotic grasping from a stack
Vision-based robotic object grasping is typically investigated in the context of isolated objects or unstructured object sets in bin picking scenarios. However, there are several settings, such as construction or warehou…
BenchmarkingObjectPose EstimationRobotic GraspingFOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
Overlapping object perception aims to decouple the randomly overlapping foreground-background features, extracting foreground features while suppressing background features, which holds significant application value in f…
ObjectPneumonia DetectionSparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection
Leveraging the high temporal resolution and dynamic range, object detection with event cameras can enhance the performance and safety of automotive and robotics applications in real-world scenarios. However, processing s…
Computational EfficiencyObjectobject-detectionObject DetectionM^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
Intelligent robots need to interact with diverse objects across various environments. The appearance and state of objects frequently undergo complex transformations depending on the object properties, e.g., phase transit…
ObjectSemantic SegmentationVideo Object SegmentationVideo Semantic Segmentation+2iDiT-HOI: Inpainting-based Hand Object Interaction Reenactment via Video Diffusion Transformer
Digital human video generation is gaining traction in fields like education and e-commerce, driven by advancements in head-body animation and lip-syncing technologies. However, realistic Hand-Object Interaction (HOI) - t…
ObjectVideo GenerationGenerative 4D Scene Gaussian Splatting with Object View-Synthesis Priors
We tackle the challenge of generating dynamic 4D scenes from monocular, multi-object videos with heavy occlusions, and introduce GenMOJO, a novel approach that integrates rendering-based deformable 3D Gaussian optimizati…
Novel View SynthesisObjectViTaSCOPE: Visuo-tactile Implicit Representation for In-hand Pose and Extrinsic Contact Estimation
Mastering dexterous, contact-rich object manipulation demands precise estimation of both in-hand object poses and external contact locations$\unicode{x2013}$tasks particularly challenging due to partial and noisy observa…
3D geometryObjectPose EstimationSPLATART: Articulated Gaussian Splatting with Estimated Object Structure
Representing articulated objects remains a difficult problem within the field of robotics. Objects such as pliers, clamps, or cabinets require representations that capture not only geometry and color information, but als…
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