Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control
Human demonstrations provide strong priors for robot manipulation, yet it is non-trivial to transfer them to execute on real robots due to the kinematic gap. In dexterous manipulation, it remains challenging to track lon…
Reinforcement LearningRobot ManipulationObject TrackingTAE: Target-aware enhancer for nighttime UAV tracking
Severe image degradation under low-light nighttime conditions constitutes a core bottleneck preventing all-day applications for UAV-based single object tracking. Existing image enhancement methods often struggle to disti…
Image EnhancementObject TrackingComPose: When to Trust Hands for Object Pose Tracking
Reconstructing the motion of objects from videos is a key component for embodied AI and robot manipulation. While diverse approaches to object pose tracking have been studied, they rely heavily on strong external priors,…
Robot ManipulationObject TrackingPose EstimationPose TrackingEnd-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking
Hyperspectral imagery encodes rich material properties that can improve tracking robustness under appearance ambiguity, illumination change, and background clutter. However, due to the limited availability of hyperspectr…
Object TrackingFast 4D Mesh Generation by Spatio-Temporal Attention Chains
4D mesh generation has recently emerged as a powerful paradigm for recovering dynamic 3D structure from videos, but existing methods remain slow, computationally expensive, and difficult to scale to longer sequences. We …
Object TrackingDeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking
Aerial object tracking has broad applications in public safety, emergency rescue, wildlife monitoring, and related fields. However, existing aerial tracking benchmarks are mainly based on passive 2D video sequences captu…
Object TrackingA Conditional U-Net Pipeline with Pre- and Post-Processing for Aerial RGB-to-Thermal Image Translation
Paired RGB-thermal data has shown significant utility across a range of applications, including image fusion, object tracking, and anomaly detection; however, its broader adoption is constrained by the limited availabili…
Anomaly DetectionImage GenerationObject TrackingStill Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving
Existing physical adversarial attacks on vision-based autonomous driving induce time-evolving perception errors, including biased object tracking or trajectory prediction, through (i) sophisticated physical patch inducin…
Trajectory PredictionAutonomous VehiclesAutonomous DrivingObject TrackingFPGA-Based Hardware Architecture for Contrast Maximization in Event-Based Vision
This paper presents a hardware architecture that implements the Contrast Maximization (CM) algorithm in Field-Programmable Gate Array (FPGA) resources for event-based vision systems. CM estimates motion parameters by max…
Event-based visionObject TrackingMSACT: Multistage Spatial Alignment for Stable Low-Latency Fine Manipulation
Real-world fine manipulation, particularly in bimanual manipulation, typically requires low-latency control and stable visual localization, while collecting large-scale data is costly and limited demonstrations may lead …
Visual LocalizationObject TrackingQuantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in mu…
Object TrackingEdge DetectionGateMOT: Q-Gated Attention for Dense Object Tracking
While large models demonstrate the strong representational power of vanilla attention, this core mechanism cannot be directly applied to Dense Object Tracking: its quadratic all-to-all interactions are computationally pr…
Object TrackingShared-kernel Wavelet Neural Networks for Poisson Image Reconstruction
The Laplacian operator transforms the image into its Laplacian field, which usually is sparse and satisfies a stable distribution. On the other hand, an image can be uniquely reconstructed from its Laplacian field via so…
Image ReconstructionImage CompressionObject TrackingComputer Vision-Based Early Detection of Container Loss at Sea
Containerised shipping underpins global trade, yet container loss at sea remains a persistent safety, environmental, and economic challenge. Despite compliance with Cargo Securing Manuals, dynamic maritime conditions suc…
Object SegmentationObject TrackingDeVI: Physics-based Dexterous Human-Object Interaction via Synthetic Video Imitation
Recent advances in video generative models enable the synthesis of realistic human-object interaction videos across a wide range of scenarios and object categories, including complex dexterous manipulations that are diff…
Zero-shot GeneralizationMotion PlanningObject TrackingURoPE: Universal Relative Position Embedding across Geometric Spaces
Relative position embedding has become a standard mechanism for encoding positional information in Transformers. However, existing formulations are typically limited to a fixed geometric space, namely 1D sequences or reg…
Novel View Synthesis3D Object DetectionDepth EstimationObject TrackingFreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking
Existing single-modal RGB trackers often face performance bottlenecks in complex dynamic scenes, while the introduction of event sensors offers new potential for enhancing tracking capabilities. However, most current RGB…
Object TrackingEvent-Adaptive State Transition and Gated Fusion for RGB-Event Object Tracking
Existing Vision Mamba-based RGB-Event(RGBE) tracking methods suffer from using static state transition matrices, which fail to adapt to variations in event sparsity. This rigidity leads to imbalanced modeling-underfittin…
Object TrackingTemporally Consistent Long-Term Memory for 3D Single Object Tracking
3D Single Object Tracking (3D-SOT) aims to localize a target object across a sequence of LiDAR point clouds, given its 3D bounding box in the first frame. Recent methods have adopted a memory-based approach to utilize pr…
Object TrackingPoint CloudsTowards an End-to-End System for 3D Tracking of Physical Objects in Virtual Immersive Environments
This work aims to establish an end-to-end system for tracking of physical 3D objects for virtual reality (VR) applications. We focus on training applications requiring real-time tracking of the position of small physical…
Object Tracking