Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
RGB-Thermal (RGBT) tracking aims to exploit visible and thermal infrared modalities for robust all-weather object tracking. However, existing RGBT trackers struggle to resolve modality discrepancies, which poses great ch…
Object TrackingOmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding
LVLMs have been shown to perform excellently in image-level tasks such as VQA and caption. However, in many instance-level tasks, such as visual grounding and object detection, LVLMs still show performance gaps compared …
Object DetectionVisual GroundingObject TrackingSwiTrack: Tri-State Switch for Cross-Modal Object Tracking
Cross-modal object tracking (CMOT) is an emerging task that maintains target consistency while the video stream switches between different modalities, with only one modality available in each frame, mostly focusing on RG…
Trajectory PredictionObject TrackingPhysics-Informed Machine Learning for Efficient Sim-to-Real Data Augmentation in Micro-Object Pose Estimation
Precise pose estimation of optical microrobots is essential for enabling high-precision object tracking and autonomous biological studies. However, current methods rely heavily on large, high-quality microscope image dat…
Data AugmentationPose EstimationObject TrackingMambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation
Dynamic outdoor environments with high temporal variation (HTV) pose significant challenges for 3D single object tracking in LiDAR point clouds. Existing memory-based trackers often suffer from quadratic computational co…
Object TrackingPoint CloudsCompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking
3D single object tracking (SOT) in LiDAR point clouds is a critical task in computer vision and autonomous driving. Despite great success having been achieved, the inherent sparsity of point clouds introduces a dual-redu…
Autonomous DrivingObject TrackingPoint Clouds3D Ground Truth Reconstruction from Multi-Camera Annotations Using UKF
Accurate 3D ground truth estimation is critical for applications such as autonomous navigation, surveillance, and robotics. This paper introduces a novel method that uses an Unscented Kalman Filter (UKF) to fuse 2D bound…
Object TrackingRethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
As embodied agents operate in increasingly complex environments, the ability to perceive, track, and reason about individual object instances over time becomes essential, especially in tasks requiring sequenced interacti…
Object TrackingSOTFormer: A Minimal Transformer for Unified Object Tracking and Trajectory Prediction
Accurate single-object tracking and short-term motion forecasting remain challenging under occlusion, scale variation, and temporal drift, which disrupt the temporal coherence required for real-time perception. We introd…
Trajectory PredictionMotion ForecastingObject DetectionObject TrackingUniSOT: A Unified Framework for Multi-Modality Single Object Tracking
Single object tracking aims to localize target object with specific reference modalities (bounding box, natural language or both) in a sequence of specific video modalities (RGB, RGB+Depth, RGB+Thermal or RGB+Event.). Di…
Object TrackingVisual TrackingPlanarTrack: A high-quality and challenging benchmark for large-scale planar object tracking
Planar tracking has drawn increasing interest owing to its key roles in robotics and augmented reality. Despite recent great advancement, further development of planar tracking, particularly in the deep learning era, is …
Object TrackingVideo Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers
Inspired by the performance and scalability of autoregressive large language models (LLMs), transformer-based models have seen recent success in the visual domain. This study investigates a transformer adaptation for vid…
Physical SimulationsVideo PredictionObject TrackingHAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking
RGB cameras excel at capturing rich texture details with high spatial resolution, whereas event cameras offer exceptional temporal resolution and a high dynamic range (HDR). Leveraging their complementary strengths can s…
Computational EfficiencyKnowledge DistillationObject TrackingSVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding
A truly capable AI system must do more than detect objects or recognize activities in isolation. It must form unified, grounded representations of who is acting, what they are doing, and when and where these actions unfo…
Object TrackingVideo GroundingGAZE:Governance-Aware pre-annotation for Zero-shot World Model Environments
Training robust world models requires large-scale, precisely labeled multimodal datasets, a process historically bottlenecked by slow and expensive manual annotation. We present a production-tested GAZE pipeline that aut…
Scene UnderstandingObject TrackingResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning
Humanoid whole-body loco-manipulation promises transformative capabilities for daily service and warehouse tasks. While recent advances in general motion tracking (GMT) have enabled humanoids to reproduce diverse human m…
Object TrackingDeep Learning-based Lightweight RGB Object Tracking for Augmented Reality Devices
Augmented Reality (AR) applications often require robust real-time tracking of objects in the user's environment to correctly overlay virtual content. Recent advances in computer vision have produced highly accurate deep…
Knowledge DistillationObject TrackingCHAI: Command Hijacking against embodied AI
Embodied Artificial Intelligence (AI) promises to handle edge cases in robotic vehicle systems where data is scarce by using common-sense reasoning grounded in perception and action to generalize beyond training distribu…
Adversarial RobustnessMultimodal ReasoningAutonomous DrivingObject TrackingCollaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
Existing multi-modal object tracking approaches primarily focus on dual-modal paradigms, such as RGB-Depth or RGB-Thermal, yet remain challenged in complex scenarios due to limited input modalities. To address this gap, …
Object TrackingAn Analysis of Kalman Filter based Object Tracking Methods for Fast-Moving Tiny Objects
Unpredictable movement patterns and small visual mark make precise tracking of fast-moving tiny objects like a racquetball one of the challenging problems in computer vision. This challenge is particularly relevant for s…
Object Tracking