Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Can We Build Scene Graphs, Not Classify Them? FlowSG: Progressive Image-Conditioned Scene Graph Generation with Flow Matching
Scene Graph Generation (SGG) unifies object localization and visual relationship reasoning by predicting boxes and subject-predicate-object triples. Yet most pipelines treat SGG as a one-shot, deterministic classificatio…
Scene Graph GenerationObject LocalizationRethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation
Video-based human-object interaction (HOI) understanding requires both detecting ongoing interactions and anticipating their future evolution. However, existing methods usually treat anticipation as a downstream forecast…
Representation LearningObject LocalizationModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation
Weakly supervised semantic segmentation aims to achieve pixel-level predictions using image-level labels. Existing methods typically entangle semantic recognition and object localization, which often leads models to focu…
Semantic SegmentationObject LocalizationSemantic RetrievalBoxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D
Detecting and localizing objects in space is a fundamental computer vision problem. While much progress has been made to solve 2D object detection, 3D object localization is much less explored and far from solved, especi…
Object Localization2D Object DetectionLearning from Synthetic Data via Provenance-Based Input Gradient Guidance
Learning methods using synthetic data have attracted attention as an effective approach for increasing the diversity of training data while reducing collection costs, thereby improving the robustness of model discriminat…
Spatio-Temporal Action LocalizationImage ClassificationObject LocalizationGUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
Fine-grained open-vocabulary object detection (FG-OVD) aims to detect novel object categories described by attribute-rich texts. While existing open-vocabulary detectors show promise at the base-category level, they unde…
Object LocalizationObject DetectionMemory Over Maps: 3D Object Localization Without Reconstruction
Target localization is a prerequisite for embodied tasks such as navigation and manipulation. Conventional approaches rely on constructing explicit 3D scene representations to enable target localization, such as point cl…
Object Localization3D ReconstructionRobot NavigationPoint CloudsGrid Spatial Understanding: A Dataset for Textual Spatial Reasoning over Grids, Embodied Settings, and Coordinate Structures
We introduce GSU, a text-only grid dataset to evaluate the spatial reasoning capabilities of LLMs over 3 core tasks: navigation, object localization, and structure composition. By forgoing visual inputs, isolating spatia…
Object LocalizationSpatial ReasoningRDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images
Salient object detection (SOD) in remote sensing images faces significant challenges due to large variations in object sizes, the computational cost of self-attention mechanisms, and the limitations of CNN-based extracto…
Salient Object DetectionObject LocalizationAdaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions
Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-interest localization in histology images using only image-class supervision. When deployed in a target domain, distributions …
Object LocalizationDomain AdaptationRoboPCA: Pose-centered Affordance Learning from Human Demonstrations for Robot Manipulation
Understanding spatial affordances -- comprising the contact regions of object interaction and the corresponding contact poses -- is essential for robots to effectively manipulate objects and accomplish diverse tasks. How…
Object LocalizationRobot ManipulationPose EstimationEgoReasoner: Learning Egocentric 4D Reasoning via Task-Adaptive Structured Thinking
Egocentric video understanding is inherently complex due to the dynamic 4D nature of the environment, where camera motion and object displacements necessitate a continuous re-evaluation of spatial relations. In this work…
Reinforcement LearningObject LocalizationRAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation
RGB-Thermal (RGBT) tracking aims to achieve robust object localization across diverse environmental conditions by fusing visible and thermal infrared modalities. However, existing RGBT trackers rely solely on initial-fra…
Object LocalizationTriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement
Weakly supervised object localization (WSOL) aims to localize target objects in images using only image-level labels. Despite recent progress, many approaches still rely on multi-stage pipelines or full fine-tuning of la…
Object LocalizationZero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
Zero-shot Human-object interaction (HOI) detection aims to locate humans and objects in images and recognize their interactions. While advances in open-vocabulary object detection provide promising solutions for object l…
Visual Question AnsweringObject LocalizationObject DetectionPISHYAR: A Socially Intelligent Smart Cane for Indoor Social Navigation and Multimodal Human-Robot Interaction for Visually Impaired People
This paper presents PISHYAR, a socially intelligent smart cane designed by our group to combine socially aware navigation with multimodal human-AI interaction to support both physical mobility and interactive assistance.…
Group Activity RecognitionObject LocalizationSpeech RecognitionObject DetectionA Renderer-Enabled Framework for Computing Parameter Estimation Lower Bounds in Plenoptic Imaging Systems
This work focuses on assessing the information-theoretic limits of scene parameter estimation in plenoptic imaging systems. A general framework to compute lower bounds on the parameter estimation error from noisy plenopt…
Object LocalizationPhi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
Deep learning has substantially advanced medical image segmentation, yet achieving robust generalization across diverse imaging modalities and anatomical structures remains a major challenge. A key contributor to this li…
Medical Image SegmentationObject LocalizationDR$^2$Seg: Decomposed Two-Stage Rollouts for Efficient Reasoning Segmentation in Multimodal Large Language Models
Reasoning segmentation is an emerging vision-language task that requires reasoning over intricate text queries to precisely segment objects. However, existing methods typically suffer from overthinking, generating verbos…
Multimodal ReasoningObject LocalizationSpatialNav: Leveraging Spatial Scene Graphs for Zero-Shot Vision-and-Language Navigation
Although learning-based vision-and-language navigation (VLN) agents can learn spatial knowledge implicitly from large-scale training data, zero-shot VLN agents lack this process, relying primarily on local observations f…
Object Localization