{"total":14,"rows":[{"id":"2312.10908","title":"CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update","created":"2023-12-18","cited_by_count":43,"area":null},{"id":"2505.20256","title":"Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration","created":"2025-05-26","cited_by_count":41,"area":null},{"id":"2411.01327","title":"Visual Fourier Prompt Tuning","created":"2024-11-02","cited_by_count":30,"area":null},{"id":"2503.08625","title":"SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories","created":"2025-03-11","cited_by_count":30,"area":null},{"id":"2311.15607","title":"Spatially Covariant Image Registration with Text Prompts","created":"2023-11-27","cited_by_count":18,"area":null},{"id":"2406.02435","title":"Generative Active Learning for Long-tailed Instance Segmentation","created":"2024-06-04","cited_by_count":10,"area":null},{"id":"2510.10524","title":"Unified Open-World Segmentation with Multi-Modal Prompts","created":"2025-10-12","cited_by_count":7,"area":null},{"id":"2510.09320","title":"Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation","created":"2025-10-10","cited_by_count":6,"area":null},{"id":"2511.16170","title":"Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective","created":"2025-11-20","cited_by_count":5,"area":null},{"id":"2409.14627","title":"SOS: Segment Object System for Open-World Instance Segmentation With Object Priors","created":"2024-09-22","cited_by_count":3,"area":null},{"id":"2406.11472","title":"Learning from Exemplars for Interactive Image Segmentation","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2504.01383","title":"v-CLR: View-Consistent Learning for Open-World Instance Segmentation","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2603.04870","title":"Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2401.08174","title":"OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts","created":"2024-01-16","cited_by_count":0,"area":null}],"next_cursor":null}