{"list":"other","total":75,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"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":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1608.06993","title":"Densely Connected Convolutional Networks","created":"2016-08-25","cited_by_count":6720},{"id":"2410.21276","title":"GPT-4o System Card","created":"2024-10-25","cited_by_count":4588},{"id":"2409.12191","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","created":"2024-09-18","cited_by_count":4234},{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576},{"id":"2105.01601","title":"MLP-Mixer: An all-MLP Architecture for Vision","created":"2021-05-04","cited_by_count":1446},{"id":"2305.05665","title":"ImageBind: One Embedding Space To Bind Them All","created":"2023-05-09","cited_by_count":1175},{"id":"2104.00298","title":"EfficientNetV2: Smaller Models and Faster Training","created":"2021-04-01","cited_by_count":1135},{"id":"1504.06852","title":"FlowNet: Learning Optical Flow with Convolutional Networks","created":"2015-04-26","cited_by_count":1059},{"id":"2306.13549","title":"A Survey on Multimodal Large Language Models","created":"2023-06-23","cited_by_count":909},{"id":"2107.09645","title":"Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning","created":"2021-07-20","cited_by_count":372},{"id":"2305.08275","title":"ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding","created":"2023-05-14","cited_by_count":202},{"id":"2212.03640","title":"Fine-tuned CLIP Models are Efficient Video Learners","created":"2022-12-06","cited_by_count":179},{"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":"1810.10191","title":"Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks","created":"2018-10-24","cited_by_count":154},{"id":"1805.11085","title":"More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch","created":"2018-05-28","cited_by_count":102},{"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":"1907.13098","title":"Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks","created":"2019-07-28","cited_by_count":84},{"id":"2204.02389","title":"ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer","created":"2022-04-05","cited_by_count":75},{"id":"2411.17040","title":"Multimodal Alignment and Fusion: A Survey","created":"2024-11-26","cited_by_count":74},{"id":"2402.13232","title":"A Touch, Vision, and Language Dataset for Multimodal Alignment","created":"2024-02-20","cited_by_count":69},{"id":"2109.07991","title":"ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations","created":"2021-09-16","cited_by_count":68},{"id":"1710.05512","title":"The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?","created":"2017-10-16","cited_by_count":67},{"id":"1906.06322","title":"Connecting Touch and Vision via Cross-Modal Prediction","created":"2019-06-14","cited_by_count":66},{"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":"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":"2210.00121","title":"Visuo-Tactile Transformers for Manipulation","created":"2022-09-30","cited_by_count":47},{"id":"2503.08548","title":"TLA: Tactile-Language-Action Model for Contact-Rich Manipulation","created":"2025-03-11","cited_by_count":47},{"id":"2103.12269","title":"GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger","created":"2021-03-23","cited_by_count":41},{"id":"2306.00956","title":"The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects","created":"2023-06-01","cited_by_count":41},{"id":"2506.15953","title":"ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation","created":"2025-06-19","cited_by_count":38},{"id":"2507.17294","title":"VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback","created":"2025-07-23","cited_by_count":38},{"id":"2508.08706","title":"OmniVTLA: Vision-Tactile-Language-Action Models with Semantic-Aligned Tactile Sensing","created":"2025-08-12","cited_by_count":38},{"id":"2603.19201","title":"OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation","created":"2026-03-19","cited_by_count":36},{"id":"2401.12024","title":"Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training","created":"2024-01-22","cited_by_count":31},{"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":"2003.06965","title":"OmniTact: A Multi-Directional High Resolution Touch Sensor","created":"2020-03-16","cited_by_count":28},{"id":"1802.07490","title":"ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition","created":"2018-02-21","cited_by_count":27},{"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":"1704.03822","title":"Connecting Look and Feel: Associating the visual and tactile properties of physical materials","created":"2017-04-12","cited_by_count":22},{"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":"2512.23864","title":"Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation","created":"2025-12-29","cited_by_count":18},{"id":"2603.23481","title":"VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs","created":"2026-03-24","cited_by_count":17},{"id":"2512.16842","title":"OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction","created":"2025-12-18","cited_by_count":15},{"id":"2601.09988","title":"In-the-Wild Compliant Manipulation with UMI-FT","created":"2026-01-15","cited_by_count":13},{"id":"2202.06211","title":"Tac3D: A Novel Vision-based Tactile Sensor for Measuring Forces Distribution and Estimating Friction Coefficient Distribution","created":"2022-02-13","cited_by_count":11},{"id":"2512.04884","title":"Hoi! - A Multimodal Dataset for Force-Grounded, Cross-View Articulated Manipulation","created":"2025-12-04","cited_by_count":10},{"id":"2512.08920","title":"OSMO: Open-Source Tactile Glove for Human-to-Robot Skill Transfer","created":"2025-12-09","cited_by_count":10},{"id":"2507.09985","title":"Demonstrating the Octopi-1.5 Visual-Tactile-Language Model","created":"2025-07-14","cited_by_count":9},{"id":"2011.09552","title":"Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor","created":"2020-11-18","cited_by_count":8},{"id":"2305.03051","title":"Controllable Visual-Tactile Synthesis","created":"2023-05-04","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":"2506.20757","title":"ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations","created":"2025-06-25","cited_by_count":8},{"id":"2601.14550","title":"TacUMI: A Multi-Modal Universal Manipulation Interface for Contact-Rich Tasks","created":"2026-01-21","cited_by_count":8},{"id":"2403.09813","title":"Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset","created":"2024-03-14","cited_by_count":6},{"id":"2512.09851","title":"Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation","created":"2025-12-10","cited_by_count":6},{"id":"2501.00510","title":"VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception","created":"2024-12-31","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":"2508.06566","title":"Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features","created":"2025-08-07","cited_by_count":4},{"id":"2505.04201","title":"SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios","created":"2025-05-07","cited_by_count":3},{"id":"2509.02478","title":"Classification of Vision-Based Tactile Sensors: A Review","created":"2025-09-02","cited_by_count":3},{"id":"2509.04658","title":"Surformer v2: A Multimodal Classifier for Surface Understanding from Touch and Vision","created":"2025-09-04","cited_by_count":3},{"id":"2503.23345","title":"MagicGel: A Novel Visual-Based Tactile Sensor Design with MagneticGel","created":"2025-03-30","cited_by_count":2},{"id":"2505.14270","title":"RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data","created":"2025-05-20","cited_by_count":2},{"id":"2601.21474","title":"DexTac: Learning Contact-aware Visuotactile Policies via Hand-by-hand Teaching","created":"2026-01-29","cited_by_count":2},{"id":"2405.12779","title":"Transformer in Touch: A Survey","created":"2024-05-21","cited_by_count":1},{"id":"2512.20591","title":"LightTact: A Visual-Tactile Fingertip Sensor for Deformation-Independent Contact Sensing","created":"2025-12-23","cited_by_count":1}],"next_cursor":null}