Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipulation of dynamic scenes. Yet existing controllable methods either require the full control schedule…
Video GenerationObject TrackingMAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking
Large-scale pre-training has transformed representation learning in 2D vision, yet its transferability to 3D single object tracking (SOT) remains insufficiently understood. Directly fine-tuning self-supervised 3D encoder…
Representation Learning3D ReconstructionObject TrackingSAVTrack: Selective Vote Aggregation for Reliability-Aware Point Cloud Tracking
3D single object tracking (SOT) in LiDAR point clouds is essential for autonomous systems, but remains challenging under sparse and incomplete observations. In such cases, different target points provide highly uneven co…
Object TrackingPoint CloudsAdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving
Camera-based object detectors are vulnerable to physical adversarial attacks designed to suppress detections. While adversarial training and input purification offer some protection, they often overfit to specific attack…
Robust Object DetectionAdversarial RobustnessAutonomous DrivingObject TrackingSemantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking
UAV Anti-UAV tracking is an emerging low-altitude security task for localizing an adversarial UAV using the onboard camera of a moving observer UAV. It differs from conventional UAV tracking and ground-based Anti-UAV tra…
Object TrackingAnticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter
Safe quadrotor navigation in cluttered and dynamic environments depends not only on instantaneous geometric perception, but more critically on anticipating collision risks induced by relative motion. Conventional modular…
Optical Flow EstimationReinforcement LearningObject TrackingRobust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions
Real-time 6-DoF object pose tracking is essential for many robotics applications, and several approaches exist. Yet even today's approaches remain unreliable under temporary full occlusions and rapid object motions. Once…
Object TrackingPose EstimationPose TrackingDynamic Inverse Rendering for Enhanced Material-Lighting Decomposition
Decomposing outgoing surface radiance into material and illumination during inverse rendering is essential for applications such as relighting and augmented reality, yet it is severely ill-posed since multiple combinatio…
Inverse RenderingObject TrackingWristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation
Retargeting human object interaction demonstrations to physics based simulation requires reproducing not only body motion but also the object motion and contacts that make manipulation succeed. However, position only han…
Object TrackingSpecTrack: Spectral Prompt Guided Adaptive Experts for Multispectral Object Tracking
Multispectral image(MSI) and hyperspectral image(HSI) object tracking object tracking exploits recorded band-wise observations to improve target--background discrimination under similar RGB appearance, mixed pixels, illu…
Object TrackingEfficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing
Deep learning algorithms are notorious for their high carbon footprint and computational demands that limit their deployment on edge devices and raise concerns about their long-term sustainability. Neuromorphic computing…
Transfer LearningObject DetectionObject TrackingSTAC: Selective Spatiotemporal Aggregation and Compression for Video Reasoning Segmentation
Video reasoning segmentation demands pixel-accurate object tracking across hundreds of frames under complex natural language queries, producing dense spatiotemporal tokens whose quadratic self-attention cost makes long-v…
Natural Language QueriesObject TrackingA Stereo Visual SLAM System Using Object-Level Motion Estimation and Geometric Filtering Based on Cross Disparity
This paper presents OCD SLAM, a dynamic stereo visual SLAM framework that extends ORB-SLAM2 by jointly addressing dynamic objects and dynamic features in the scene. Usual visual SLAM systems operating in dynamic environm…
3D Object DetectionObject TrackingPose EstimationEfficient Spatio-Temporal Grounding with Multimodal Large Models via Second-Level Tracking and RL Verification
Spatio-temporal grounding in long videos requires precise temporal localization and robust object tracking conditioned on natural-language queries. While recent vision-language models (VLMs) show strong reasoning ability…
Reinforcement LearningObject TrackingUnified Complex-valued Neural Network: A Magnitude-Phase Computational Model for Event-Driven Neuromorphic Learning
Artificial neural networks (ANN) provide accurate continuous-valued representation, whereas spiking neural networks (SNN) offer event-driven temporal processing, yet both paradigms face limitations when value encoding an…
Object TrackingSurgical Anatomy Recognition with Context Learning using Foundation Representations
Accurate recognition of anatomical structures is essential for safe and effective minimally invasive surgery (MIS), yet it remains underexplored in surgical computer vision due to limited annotated data and methods tailo…
Video Semantic SegmentationScene UnderstandingObject TrackingSPARK: Low Latency Single-Camera 3D Pose Estimation for Autonomous Racing using Keypoints
In autonomous racing, fast detection of other participants' movements is required to plan safe, collision-free trajectories with non-cooperative opponents. LiDAR detection is inherently slower and harder to deploy on edg…
3D Pose EstimationKeypoint DetectionObject TrackingVision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating
Hyperspectral object tracking (HOT) leverages the rich spectral information provided by hyperspectral videos (HSVs), offering substantial potential for object tracking. However, efficiently extracting and exploiting spec…
Object TrackingEgoAERO: Learning Dexterous Manipulation from a Single Egocentric Video without Object Assets
Egocentric RGB-D videos offer a natural source of human dexterous manipulation demonstrations, but existing data is difficult to use for robot learning because object pose, geometry, and contact information are often mis…
Object TrackingGRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
Scaling humanoid loco-manipulation requires robot-compatible demonstrations across diverse objects, whole-body motions, and scene geometries, but teleoperation and motion capture are difficult to scale because each colle…
Video GenerationObject Tracking