{"list":"other","total":56,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"2303.04137","title":"Diffusion Policy: Visuomotor Policy Learning via Action Diffusion","created":"2023-03-07","cited_by_count":2838},{"id":"1803.08494","title":"Group Normalization","created":"2018-03-22","cited_by_count":1524},{"id":"2203.12602","title":"VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training","created":"2022-03-23","cited_by_count":1322},{"id":"2212.07143","title":"Reproducible scaling laws for contrastive language-image learning","created":"2022-12-14","cited_by_count":1173},{"id":"2402.10329","title":"Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots","created":"2024-02-15","cited_by_count":394},{"id":"2301.07525","title":"OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation","created":"2023-01-18","cited_by_count":326},{"id":"2410.11758","title":"Latent Action Pretraining from Videos","created":"2024-10-15","cited_by_count":321},{"id":"2005.14679","title":"DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation","created":"2020-05-29","cited_by_count":167},{"id":"2503.02881","title":"Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation","created":"2025-03-04","cited_by_count":108},{"id":"2401.18084","title":"Binding Touch to Everything: Learning Unified Multimodal Tactile Representations","created":"2024-01-31","cited_by_count":95},{"id":"2211.12498","title":"Touch and Go: Learning from Human-Collected Vision and Touch","created":"2022-11-22","cited_by_count":87},{"id":"2505.05071","title":"FG-CLIP: Fine-Grained Visual and Textual Alignment","created":"2025-05-08","cited_by_count":81},{"id":"2204.02389","title":"ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer","created":"2022-04-05","cited_by_count":75},{"id":"2402.13232","title":"A Touch, Vision, and Language Dataset for Multimodal Alignment","created":"2024-02-20","cited_by_count":69},{"id":"1906.06322","title":"Connecting Touch and Vision via Cross-Modal Prediction","created":"2019-06-14","cited_by_count":66},{"id":"2410.24090","title":"Sparsh: Self-supervised touch representations for vision-based tactile sensing","created":"2024-10-31","cited_by_count":64},{"id":"2505.09577","title":"VTLA: Vision-Tactile-Language-Action Model with Preference Learning for Insertion Manipulation","created":"2025-05-14","cited_by_count":55},{"id":"1803.00628","title":"GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger","created":"2018-03-01","cited_by_count":52},{"id":"2405.02794","title":"Octopi: Object Property Reasoning with Large Tactile-Language Models","created":"2024-05-05","cited_by_count":48},{"id":"2502.12191","title":"AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors","created":"2025-02-15","cited_by_count":48},{"id":"2503.08548","title":"TLA: Tactile-Language-Action Model for Contact-Rich Manipulation","created":"2025-03-11","cited_by_count":47},{"id":"2406.13640","title":"Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks","created":"2024-06-19","cited_by_count":45},{"id":"2306.00956","title":"The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects","created":"2023-06-01","cited_by_count":41},{"id":"2209.13042","title":"Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features","created":"2022-09-26","cited_by_count":38},{"id":"2506.15953","title":"ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation","created":"2025-06-19","cited_by_count":38},{"id":"2410.08792","title":"VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model","created":"2024-10-11","cited_by_count":37},{"id":"2410.16512","title":"TIPS: Text-Image Pretraining with Spatial awareness","created":"2024-10-21","cited_by_count":37},{"id":"2310.16917","title":"MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation","created":"2023-10-25","cited_by_count":34},{"id":"2210.14210","title":"MidasTouch: Monte-Carlo inference over distributions across sliding touch","created":"2022-10-25","cited_by_count":33},{"id":"1711.00574","title":"Active Clothing Material Perception using Tactile Sensing and Deep Learning","created":"2017-11-02","cited_by_count":30},{"id":"2507.15062","title":"Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper","created":"2025-07-20","cited_by_count":29},{"id":"2406.03813","title":"Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation","created":"2024-06-06","cited_by_count":27},{"id":"2408.06506","title":"TacSL: A Library for Visuotactile Sensor Simulation and Learning","created":"2024-08-12","cited_by_count":27},{"id":"2405.04534","title":"Tactile-Augmented Radiance Fields","created":"2024-05-07","cited_by_count":26},{"id":"2406.14235","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation","created":"2024-06-20","cited_by_count":23},{"id":"2504.06156","title":"ViTaMIn: Learning Contact-Rich Tasks Through Robot-Free Visuo-Tactile Manipulation Interface","created":"2025-04-08","cited_by_count":23},{"id":"2506.01941","title":"FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation","created":"2025-06-02","cited_by_count":21},{"id":"2408.01366","title":"Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation","created":"2024-08-02","cited_by_count":20},{"id":"2411.02479","title":"Digitizing Touch with an Artificial Multimodal Fingertip","created":"2024-11-04","cited_by_count":20},{"id":"2408.06481","title":"UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects","created":"2024-08-12","cited_by_count":15},{"id":"2504.19341","title":"PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-rich Manipulation Using Tactile-Diffusion Policies","created":"2025-04-27","cited_by_count":14},{"id":"2505.18472","title":"ManiFeel: Benchmarking and Understanding Visuotactile Manipulation Policy Learning","created":"2025-05-24","cited_by_count":13},{"id":"2505.13982","title":"Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation","created":"2025-05-20","cited_by_count":12},{"id":"2410.02048","title":"FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensors","created":"2024-10-02","cited_by_count":11},{"id":"2506.14754","title":"Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation","created":"2025-06-17","cited_by_count":11},{"id":"2502.19638","title":"Sensor-Invariant Tactile Representation","created":"2025-02-27","cited_by_count":8},{"id":"2505.22566","title":"Universal Visuo-Tactile Video Understanding for Embodied Interaction","created":"2025-05-28","cited_by_count":8},{"id":"2410.11834","title":"Contrastive Touch-to-Touch Pretraining","created":"2024-10-15","cited_by_count":5},{"id":"2505.08194","title":"CLTP: Contrastive Language-Tactile Pre-training for 3D Contact Geometry Understanding","created":"2025-05-13","cited_by_count":5},{"id":"2503.09100","title":"Tacchi 2.0: A Low Computational Cost and Comprehensive Dynamic Contact Simulator for Vision-based Tactile Sensors","created":"2025-03-12","cited_by_count":4},{"id":"2405.02914","title":"Simulation of Optical Tactile Sensors Supporting Slip and Rotation using Path Tracing and IMPM","created":"2024-05-05","cited_by_count":2},{"id":"2409.14592","title":"Tactile Functasets: Neural Implicit Representations of Tactile Datasets","created":"2024-09-22","cited_by_count":2}],"next_cursor":null}