{"list":"other","total":86,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974},{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"id":"1702.04405","title":"ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes","created":"2017-02-14","cited_by_count":3117},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"2112.01527","title":"Masked-attention Mask Transformer for Universal Image Segmentation","created":"2021-12-02","cited_by_count":2351},{"id":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"id":"1911.11763","title":"SuperGlue: Learning Feature Matching with Graph Neural Networks","created":"2019-11-26","cited_by_count":1443},{"id":"1511.07247","title":"NetVLAD: CNN architecture for weakly supervised place recognition","created":"2015-11-23","cited_by_count":941},{"id":"2003.04618","title":"Convolutional Occupancy Networks","created":"2020-03-10","cited_by_count":761},{"id":"1812.03506","title":"From Coarse to Fine: Robust Hierarchical Localization at Large Scale","created":"2018-12-09","cited_by_count":559},{"id":"2112.12143","title":"Scaling Open-Vocabulary Image Segmentation with Image-Level Labels","created":"2021-12-22","cited_by_count":473},{"id":"2111.05849","title":"Advances in Neural Rendering","created":"2021-11-10","cited_by_count":365},{"id":"2306.13631","title":"OpenMask3D: Open-Vocabulary 3D Instance Segmentation","created":"2023-06-23","cited_by_count":289},{"id":"2008.08465","title":"CosyPose: Consistent multi-view multi-object 6D pose estimation","created":"2020-08-19","cited_by_count":287},{"id":"1910.02527","title":"3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera","created":"2019-10-06","cited_by_count":281},{"id":"1611.05705","title":"DSAC - Differentiable RANSAC for Camera Localization","created":"2016-11-17","cited_by_count":266},{"id":"2103.01486","title":"Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition","created":"2021-03-02","cited_by_count":238},{"id":"1704.00390","title":"Geometric Loss Functions for Camera Pose Regression with Deep Learning","created":"2017-04-02","cited_by_count":224},{"id":"1905.07259","title":"Texture Fields: Learning Texture Representations in Function Space","created":"2019-05-17","cited_by_count":210},{"id":"2004.03967","title":"Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions","created":"2020-04-08","cited_by_count":208},{"id":"2003.10432","title":"Atlas: End-to-End 3D Scene Reconstruction from Posed Images","created":"2020-03-23","cited_by_count":206},{"id":"2103.09213","title":"Back to the Feature: Learning Robust Camera Localization from Pixels to Pose","created":"2021-03-16","cited_by_count":199},{"id":"2112.06375","title":"Embracing Single Stride 3D Object Detector with Sparse Transformer","created":"2021-12-13","cited_by_count":193},{"id":"1908.06109","title":"RIO: 3D Object Instance Re-Localization in Changing Indoor Environments","created":"2019-08-16","cited_by_count":188},{"id":"1510.03743","title":"Wide-Area Image Geolocalization with Aerial Reference Imagery","created":"2015-10-13","cited_by_count":186},{"id":"2201.13360","title":"Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization","created":"2022-01-31","cited_by_count":178},{"id":"1903.07504","title":"Understanding the Limitations of CNN-based Absolute Camera Pose Regression","created":"2019-03-18","cited_by_count":177},{"id":"2002.12324","title":"Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC","created":"2020-02-27","cited_by_count":176},{"id":"2103.14898","title":"SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences","created":"2021-03-27","cited_by_count":163},{"id":"2204.02287","title":"Rethinking Visual Geo-localization for Large-Scale Applications","created":"2022-04-05","cited_by_count":163},{"id":"2308.00688","title":"AnyLoc: Towards Universal Visual Place Recognition","created":"2023-08-01","cited_by_count":163},{"id":"2004.00605","title":"EPOS: Estimating 6D Pose of Objects with Symmetries","created":"2020-04-01","cited_by_count":148},{"id":"1711.10228","title":"Learning Less is More - 6D Camera Localization via 3D Surface Regression","created":"2017-11-28","cited_by_count":146},{"id":"2002.06289","title":"3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans","created":"2020-02-15","cited_by_count":144},{"id":"2101.06894","title":"Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs","created":"2021-01-18","cited_by_count":144},{"id":"1611.07890","title":"Image-based localization using LSTMs for structured feature correlation","created":"2016-11-23","cited_by_count":136},{"id":"2110.06558","title":"LENS: Localization enhanced by NeRF synthesis","created":"2021-10-13","cited_by_count":117},{"id":"2005.08135","title":"VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change","created":"2020-05-17","cited_by_count":101},{"id":"2206.09959","title":"Global Context Vision Transformers","created":"2022-06-20","cited_by_count":98},{"id":"2304.02009","title":"OrienterNet: Visual Localization in 2D Public Maps with Neural Matching","created":"2023-04-04","cited_by_count":84},{"id":"2103.06443","title":"Where is your place, Visual Place Recognition?","created":"2021-03-11","cited_by_count":82},{"id":"1908.04929","title":"3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents","created":"2019-08-14","cited_by_count":74},{"id":"2112.01988","title":"ROCA: Robust CAD Model Retrieval and Alignment from a Single Image","created":"2021-12-03","cited_by_count":67},{"id":"2207.10762","title":"MeshLoc: Mesh-Based Visual Localization","created":"2022-07-21","cited_by_count":62},{"id":"2207.05006","title":"TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs","created":"2022-07-11","cited_by_count":59},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56},{"id":"1712.05773","title":"Semantic Visual Localization","created":"2017-12-15","cited_by_count":54},{"id":"1811.03032","title":"A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes","created":"2018-11-07","cited_by_count":53},{"id":"2108.01176","title":"Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks","created":"2021-08-02","cited_by_count":52},{"id":"2103.05558","title":"Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis","created":"2021-03-09","cited_by_count":49},{"id":"2203.12979","title":"Is Geometry Enough for Matching in Visual Localization?","created":"2022-03-24","cited_by_count":48},{"id":"2204.01458","title":"Correlation Verification for Image Retrieval","created":"2022-04-04","cited_by_count":47},{"id":"2011.14791","title":"NeuralFusion: Online Depth Fusion in Latent Space","created":"2020-11-30","cited_by_count":46},{"id":"1907.00338","title":"Large-scale, real-time visual-inertial localization revisited","created":"2019-06-30","cited_by_count":45},{"id":"1908.00178","title":"Scalable Place Recognition Under Appearance Change for Autonomous Driving","created":"2019-08-01","cited_by_count":42},{"id":"2011.11946","title":"Benchmarking Image Retrieval for Visual Localization","created":"2020-11-24","cited_by_count":42},{"id":"2010.06897","title":"Adaptive-Attentive Geolocalization from few queries: a hybrid approach","created":"2020-10-14","cited_by_count":39},{"id":"2203.17251","title":"Continuous Scene Representations for Embodied AI","created":"2022-03-31","cited_by_count":39},{"id":"1903.03305","title":"Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods","created":"2019-03-08","cited_by_count":38},{"id":"2209.00891","title":"Multi-modal Contrastive Representation Learning for Entity Alignment","created":"2022-09-02","cited_by_count":38},{"id":"1809.05477","title":"Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System","created":"2018-09-14","cited_by_count":34},{"id":"2212.06858","title":"LidarCLIP or: How I Learned to Talk to Point Clouds","created":"2022-12-13","cited_by_count":33},{"id":"1803.11493","title":"3D Pose Estimation and 3D Model Retrieval for Objects in the Wild","created":"2018-03-30","cited_by_count":31},{"id":"2304.14880","title":"SGAligner : 3D Scene Alignment with Scene Graphs","created":"2023-04-28","cited_by_count":30},{"id":"1906.08744","title":"Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation","created":"2019-06-20","cited_by_count":28},{"id":"2312.16648","title":"LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization","created":"2023-12-27","cited_by_count":26},{"id":"2209.07896","title":"3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs","created":"2022-09-16","cited_by_count":24},{"id":"1907.03965","title":"Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization","created":"2019-07-09","cited_by_count":20},{"id":"2108.08443","title":"Semantic Reinforced Attention Learning for Visual Place Recognition","created":"2021-08-19","cited_by_count":19},{"id":"2303.05195","title":"Revisiting Rotation Averaging: Uncertainties and Robust Losses","created":"2023-03-09","cited_by_count":18},{"id":"2204.05145","title":"Focal Length and Object Pose Estimation via Render and Compare","created":"2022-04-11","cited_by_count":17},{"id":"2012.14240","title":"DeepSurfels: Learning Online Appearance Fusion","created":"2020-12-28","cited_by_count":13},{"id":"2304.04066","title":"Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach","created":"2023-04-08","cited_by_count":13},{"id":"2103.06535","title":"Calibrated and Partially Calibrated Semi-Generalized Homographies","created":"2021-03-11","cited_by_count":12},{"id":"2111.13546","title":"Inside Out Visual Place Recognition","created":"2021-11-26","cited_by_count":12},{"id":"2309.14737","title":"Volumetric Semantically Consistent 3D Panoptic Mapping","created":"2023-09-26","cited_by_count":10},{"id":"1803.04119","title":"A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation","created":"2018-03-12","cited_by_count":9},{"id":"2104.10067","title":"Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems","created":"2021-04-17","cited_by_count":8},{"id":"1604.02885","title":"Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint","created":"2016-04-11","cited_by_count":5},{"id":"2112.15075","title":"Pose Estimation of Specific Rigid Objects","created":"2021-12-30","cited_by_count":5},{"id":"2401.13148","title":"Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations","created":"2024-01-23","cited_by_count":3},{"id":"2307.01047","title":"Cross-modal Place Recognition in Image Databases using Event-based Sensors","created":"2023-07-03","cited_by_count":1}],"next_cursor":null}