{"total":62,"rows":[{"id":"2103.15691","title":"ViViT: A Video Vision Transformer","created":"2021-03-29","cited_by_count":1620,"area":null},{"id":"2110.11945","title":"SOFT: Softmax-free Transformer with Linear Complexity","created":"2021-10-22","cited_by_count":128,"area":null},{"id":"2110.05357","title":"Graph-Guided Network for Irregularly Sampled Multivariate Time Series","created":"2021-10-11","cited_by_count":111,"area":null},{"id":"2103.06255","title":"Involution: Inverting the Inherence of Convolution for Visual Recognition","created":"2021-03-10","cited_by_count":99,"area":null},{"id":"2103.16470","title":"Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection","created":"2021-03-30","cited_by_count":84,"area":null},{"id":"2112.01514","title":"Self-supervised Video Transformer","created":"2021-12-02","cited_by_count":64,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2106.09212","title":"Long-Short Temporal Contrastive Learning of Video Transformers","created":"2021-06-17","cited_by_count":42,"area":null},{"id":"2108.11743","title":"Spatio-Temporal Dynamic Inference Network for Group Activity Recognition","created":"2021-08-26","cited_by_count":42,"area":null},{"id":"2103.13582","title":"Learning Dynamic Alignment via Meta-filter for Few-shot Learning","created":"2021-03-25","cited_by_count":41,"area":null},{"id":"2309.02031","title":"A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking","created":"2023-09-05","cited_by_count":41,"area":null},{"id":"2102.02696","title":"Active Boundary Loss for Semantic Segmentation","created":"2021-02-04","cited_by_count":40,"area":null},{"id":"2103.15662","title":"Unified Graph Structured Models for Video Understanding","created":"2021-03-29","cited_by_count":38,"area":null},{"id":"2106.03772","title":"Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking","created":"2021-06-07","cited_by_count":37,"area":null},{"id":"2303.11316","title":"Generative Semantic Segmentation","created":"2023-03-20","cited_by_count":32,"area":null},{"id":"2103.06564","title":"PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation","created":"2021-03-11","cited_by_count":29,"area":null},{"id":"2207.06580","title":"Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning","created":"2022-07-14","cited_by_count":29,"area":null},{"id":"2101.08085","title":"Few-shot Action Recognition with Prototype-centered Attentive Learning","created":"2021-01-20","cited_by_count":28,"area":null},{"id":"2212.11677","title":"DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation","created":"2022-12-21","cited_by_count":22,"area":null},{"id":"2102.03026","title":"Instance and Panoptic Segmentation Using Conditional Convolutions","created":"2021-02-05","cited_by_count":19,"area":null},{"id":"2301.13156","title":"SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition","created":"2023-01-30","cited_by_count":18,"area":null},{"id":"2105.14280","title":"Hashing-Accelerated Graph Neural Networks for Link Prediction","created":"2021-05-29","cited_by_count":14,"area":null},{"id":"2107.14209","title":"A Unified Efficient Pyramid Transformer for Semantic Segmentation","created":"2021-07-29","cited_by_count":14,"area":null},{"id":"2403.06488","title":"Query-guided Prototype Evolution Network for Few-Shot Segmentation","created":"2024-03-11","cited_by_count":12,"area":null},{"id":"2105.02646","title":"Cascade Image Matting with Deformable Graph Refinement","created":"2021-05-06","cited_by_count":11,"area":null},{"id":"2308.00574","title":"PVG: Progressive Vision Graph for Vision Recognition","created":"2023-08-01","cited_by_count":10,"area":null},{"id":"2207.03341","title":"Softmax-free Linear Transformers","created":"2022-07-05","cited_by_count":9,"area":null},{"id":"2107.13154","title":"Global Aggregation then Local Distribution for Scene Parsing","created":"2021-07-28","cited_by_count":8,"area":null},{"id":"2111.15119","title":"Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction","created":"2021-11-30","cited_by_count":6,"area":null},{"id":"2207.09339","title":"Vision Transformers: From Semantic Segmentation to Dense Prediction","created":"2022-07-19","cited_by_count":6,"area":null},{"id":"2308.07592","title":"Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation","created":"2023-08-15","cited_by_count":6,"area":null},{"id":"2107.02859","title":"Poly-NL: Linear Complexity Non-local Layers with Polynomials","created":"2021-07-06","cited_by_count":5,"area":null},{"id":"2110.14587","title":"Boundary Guided Context Aggregation for Semantic Segmentation","created":"2021-10-27","cited_by_count":5,"area":null},{"id":"2312.04044","title":"Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation","created":"2023-12-07","cited_by_count":5,"area":null},{"id":"2105.11668","title":"BoundarySqueeze: Image Segmentation as Boundary Squeezing","created":"2021-05-25","cited_by_count":4,"area":null},{"id":"2211.16841","title":"Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation","created":"2022-11-30","cited_by_count":4,"area":null},{"id":"2303.06965","title":"Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation with a Unified Model","created":"2023-03-13","cited_by_count":4,"area":null},{"id":"2110.00844","title":"A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters","created":"2021-10-02","cited_by_count":3,"area":null},{"id":"2211.12941","title":"EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data","created":"2022-11-23","cited_by_count":3,"area":null},{"id":"2504.02440","title":"HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning","created":"2025-04-03","cited_by_count":3,"area":null},{"id":"2103.03510","title":"Variational Structured Attention Networks for Deep Visual Representation Learning","created":"2021-03-05","cited_by_count":2,"area":null},{"id":"2204.13429","title":"DOTIN: Dropping Task-Irrelevant Nodes for GNNs","created":"2022-04-28","cited_by_count":2,"area":null},{"id":"2211.12459","title":"A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks","created":"2022-11-22","cited_by_count":2,"area":null},{"id":"2511.12594","title":"Seg-VAR: Image Segmentation with Visual Autoregressive Modeling","created":"2025-11-16","cited_by_count":2,"area":null},{"id":"2104.11176","title":"Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation","created":"2021-04-22","cited_by_count":1,"area":null},{"id":"2203.00387","title":"Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing","created":"2022-03-01","cited_by_count":1,"area":null},{"id":"2211.01969","title":"Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing","created":"2022-11-03","cited_by_count":1,"area":null},{"id":"2212.03338","title":"Framework-agnostic Semantically-aware Global Reasoning for Segmentation","created":"2022-12-06","cited_by_count":1,"area":null},{"id":"2606.22429","title":"Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation","created":"2026-06-21","cited_by_count":1,"area":null},{"id":"2105.11657","title":"Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation","created":"2021-05-25","cited_by_count":0,"area":null},{"id":"2110.13892","title":"HR-RCNN: Hierarchical Relational Reasoning for Object Detection","created":"2021-10-26","cited_by_count":0,"area":null},{"id":"2202.10322","title":"AF$_2$: Adaptive Focus Framework for Aerial Imagery Segmentation","created":"2022-02-18","cited_by_count":0,"area":null},{"id":"2206.09552","title":"Dynamic Message Propagation Network for RGB-D Salient Object Detection","created":"2022-06-20","cited_by_count":0,"area":null},{"id":"2209.09760","title":"Dynamic Graph Message Passing Networks for Visual Recognition","created":"2022-09-20","cited_by_count":0,"area":null},{"id":"2211.09518","title":"ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection","created":"2022-11-17","cited_by_count":0,"area":null},{"id":"2407.09904","title":"Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation","created":"2024-07-13","cited_by_count":0,"area":null},{"id":"2407.21376","title":"An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs","created":"2024-07-31","cited_by_count":0,"area":null},{"id":"2408.09106","title":"Fragment-Masked Diffusion for Molecular Optimization","created":"2024-08-17","cited_by_count":0,"area":null},{"id":"2507.21422","title":"GraphTorque: Torque-Driven Rewiring Graph Neural Network","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2512.18660","title":"PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image-Text Retrieval","created":"2025-12-21","cited_by_count":0,"area":null},{"id":"2604.26893","title":"Graph-based Semantic Calibration Network for Unaligned UAV RGBT Image Semantic Segmentation and A Large-scale Benchmark","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2609.33342","title":"CalibHyper: Chance-Corrected Relational Hypergraphs for Few-Shot Molecular Property Prediction","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}