Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding
Not on the map. Why?
Abstract (arXiv)
Embodied Reference Understanding studies the reference understanding in an embodied fashion, where a receiver is required to locate a target object referred to by both language and gesture of the sender in a shared physical environment. Its main challenge lies in how to make the receiver with the egocentric view access spatial and visual information relative to the sender to judge how objects are oriented around and seen from the sender, i.e., spatial and visual perspective-taking. In this paper, we propose a REasoning from your Perspective (REP) method to tackle the challenge by modeling relations between the receiver and the sender and the sender and the objects via the proposed novel view rotation and relation reasoning. Specifically, view rotation first rotates the receiver to the position of the sender by constructing an embodied 3D coordinate system with the position of the sender as the origin. Then, it changes the orientation of the receiver to the orientation of the sender by encoding the body orientation and gesture of the sender. Relation reasoning models the nonverbal and verbal relations between the sender and the objects by multi-modal cooperative reasoning in gesture, language, visual content, and spatial position. Experiment results demonstrate the effectiveness of REP, which consistently surpasses all existing state-of-the-art algorithms by a large margin, i.e., +5.22% absolute accuracy in terms of Prec0.5 on YouRefIt.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 42 of its 55 references that are in the map. First posted on arXiv 3 Sep 2023.
Builds on
42 of 55 references.
References · 42
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
- 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
- 2018YOLOv3: An Incremental Improvementcited by 2,652
- 2017FiLM: Visual Reasoning with a General Conditioning Layercited by 2,286
- 2016CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoningcited by 1,445
- 2014Depth Map Prediction from a Single Image using a Multi-Scale Deep Networkcited by 1,264
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2016Modeling Context in Referring Expressionscited by 1,054
30 more
- 2015Generation and Comprehension of Unambiguous Object Descriptionscited by 897
- 2018Deep Ordinal Regression Network for Monocular Depth Estimationcited by 721
- 2020AdaBins: Depth Estimation using Adaptive Binscited by 596
- 2014Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecturecited by 483
- 2018MAttNet: Modular Attention Network for Referring Expression Comprehensioncited by 427
- 2019The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervisioncited by 369
- 2018Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understandingcited by 304
- 2016Modeling Context Between Objects for Referring Expression Understandingcited by 250
- 2018PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsingcited by 224
- 2020Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentationcited by 204
- 2019A Fast and Accurate One-Stage Approach to Visual Groundingcited by 194
- 2018Compositional Attention Networks for Machine Reasoningcited by 183
- 2020Improving One-stage Visual Grounding by Recursive Sub-query Constructioncited by 137
- 2019A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehensioncited by 111
- 2019Dynamic Graph Attention for Referring Expression Comprehensioncited by 111
- 2016Modeling Relationships in Referential Expressions with Compositional Modular Networkscited by 106
- 2018Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networkscited by 102
- 2019Improving Referring Expression Grounding with Cross-modal Attention-guided Erasingcited by 88
- 2017Grounding Referring Expressions in Images by Variational Contextcited by 82
- 2019Zero-Shot Grounding of Objects from Natural Language Queriescited by 79
- 2020Graph-Structured Referring Expression Reasoning in The Wildcited by 58
- 2018Real-Time Referring Expression Comprehension by Single-Stage Grounding Networkcited by 56
- 2019Contextual Encoder-Decoder Network for Visual Saliency Predictioncited by 44
- 2021Single Image Depth Estimation: An Overviewcited by 35
- 2021YouRefIt: Embodied Reference Understanding with Language and Gesturecited by 32
- 2019Relationship-Embedded Representation Learning for Grounding Referring Expressionscited by 25
- 2021Learning Triadic Belief Dynamics in Nonverbal Communication from Videoscited by 17
- 2021Weakly Supervised Relative Spatial Reasoning for Visual Question Answeringcited by 12
- 2020Human-Robot Interaction in a Shared Augmented Reality Workspacecited by 10
- 2021Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scenecited by 7
Built on by
Citing papers per year: 2023: 2; 2024: 1; 2025: 4; 2026: 3.
10 papers.
- 2023DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Modelscited by 124
- 2023Temporal Collection and Distribution for Referring Video Object Segmentationcited by 27
- 2025Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formatscited by 6
- 2024AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understandingcited by 1
- 2025Spatial-ViLT: Enhancing Visual Spatial Reasoning through Multi-Task Learningcited by 1
- 2026Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Visioncited by 1
- 2026Omni2Web: Benchmarking Audiovisual Website Developmentcited by 1
- 2025CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understandingcited by 0
- 2025A Multimodal Depth-Aware Method For Embodied Reference Understandingcited by 0
- 2026Referring Industrial Anomaly Segmentationcited by 0
- 2026Omni2Web: Benchmarking Audiovisual Website Development20 Sep 2026
- 2026Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision27 Mar 2026
- 2026Referring Industrial Anomaly Segmentation3 Feb 2026
- 2025Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats21 Nov 2025
- 2025A Multimodal Depth-Aware Method For Embodied Reference Understanding9 Oct 2025
- 2025Spatial-ViLT: Enhancing Visual Spatial Reasoning through Multi-Task Learning3 Oct 2025
- 2025CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understanding29 Jul 2025
- 2024AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding13 Nov 2024
- 2023DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models25 Oct 2023
- 2023Temporal Collection and Distribution for Referring Video Object Segmentation7 Sep 2023
Similar, not cited
Close in wording, no citation either way
- 2025SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs
- 2025REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories
- 2025Towards Embodied Cognition in Robots via Spatially Grounded Synthetic Worlds
- 2026Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models
- 2026Egocentric Bias in Vision-Language Models
- 2025EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks
- 2026Cognitively-Inspired Tokens Overcome Egocentric Bias in Multimodal Models
- 2025Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models