{"total":64,"rows":[{"id":"2107.12666","title":"Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification","created":"2021-07-27","cited_by_count":110,"area":null},{"id":"2303.17602","title":"Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks","created":"2023-03-30","cited_by_count":96,"area":null},{"id":"2203.14335","title":"Deep Hierarchical Semantic Segmentation","created":"2022-03-27","cited_by_count":84,"area":null},{"id":"2106.06351","title":"Part-aware Panoptic Segmentation","created":"2021-06-11","cited_by_count":56,"area":null},{"id":"2305.08386","title":"PLIP: Language-Image Pre-training for Person Representation Learning","created":"2023-05-15","cited_by_count":49,"area":null},{"id":"2108.11819","title":"Mining Contextual Information Beyond Image for Semantic Segmentation","created":"2021-08-26","cited_by_count":48,"area":null},{"id":"2102.02696","title":"Active Boundary Loss for Semantic Segmentation","created":"2021-02-04","cited_by_count":40,"area":null},{"id":"2108.12382","title":"ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation","created":"2021-08-27","cited_by_count":40,"area":null},{"id":"2204.04655","title":"Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation","created":"2022-04-10","cited_by_count":38,"area":null},{"id":"2103.04570","title":"Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing","created":"2021-03-08","cited_by_count":31,"area":null},{"id":"2103.11597","title":"Human De-occlusion: Invisible Perception and Recovery for Humans","created":"2021-03-22","cited_by_count":31,"area":null},{"id":"2111.14173","title":"CDGNet: Class Distribution Guided Network for Human Parsing","created":"2021-11-28","cited_by_count":26,"area":null},{"id":"2203.14448","title":"Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing","created":"2022-03-28","cited_by_count":26,"area":null},{"id":"2204.07370","title":"2D Human Pose Estimation: A Survey","created":"2022-04-15","cited_by_count":21,"area":null},{"id":"2301.00394","title":"Deep Learning Technique for Human Parsing: A Survey and Outlook","created":"2023-01-01","cited_by_count":18,"area":null},{"id":"2101.07034","title":"AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing","created":"2021-01-18","cited_by_count":16,"area":null},{"id":"2204.04654","title":"Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition","created":"2022-04-10","cited_by_count":16,"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":"2207.06854","title":"AIParsing: Anchor-free Instance-level Human Parsing","created":"2022-07-14","cited_by_count":14,"area":null},{"id":"2103.05997","title":"Quality-Aware Network for Human Parsing","created":"2021-03-10","cited_by_count":13,"area":null},{"id":"2207.14452","title":"Deep Learning-based Occluded Person Re-identification: A Survey","created":"2022-07-29","cited_by_count":12,"area":null},{"id":"2209.09117","title":"Part-Based Models Improve Adversarial Robustness","created":"2022-09-15","cited_by_count":11,"area":null},{"id":"2304.04140","title":"Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label Domains","created":"2023-04-09","cited_by_count":11,"area":null},{"id":"2209.04471","title":"MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation","created":"2022-09-09","cited_by_count":10,"area":null},{"id":"2312.05525","title":"You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2401.02138","title":"Explore Human Parsing Modality for Action Recognition","created":"2024-01-04","cited_by_count":8,"area":null},{"id":"2310.10755","title":"IDRNet: Intervention-Driven Relation Network for Semantic Segmentation","created":"2023-10-16","cited_by_count":7,"area":null},{"id":"2209.08667","title":"Semantic Segmentation using Neural Ordinary Differential Equations","created":"2022-09-18","cited_by_count":6,"area":null},{"id":"2212.07671","title":"Multi-task Fusion for Efficient Panoptic-Part Segmentation","created":"2022-12-15","cited_by_count":6,"area":null},{"id":"2109.04654","title":"Per Garment Capture and Synthesis for Real-time Virtual Try-on","created":"2021-09-10","cited_by_count":5,"area":null},{"id":"2204.13096","title":"3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective","created":"2022-04-27","cited_by_count":5,"area":null},{"id":"2303.08029","title":"Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation","created":"2023-03-14","cited_by_count":5,"area":null},{"id":"2406.10114","title":"Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations","created":"2024-06-14","cited_by_count":5,"area":null},{"id":"2105.01241","title":"End-to-end One-shot Human Parsing","created":"2021-05-04","cited_by_count":4,"area":null},{"id":"2111.00905","title":"Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry","created":"2021-10-28","cited_by_count":4,"area":null},{"id":"2305.17091","title":"SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2201.09594","title":"Describe me if you can! Characterized Instance-level Human Parsing","created":"2022-01-24","cited_by_count":3,"area":null},{"id":"2208.12908","title":"RepParser: End-to-End Multiple Human Parsing with Representative Parts","created":"2022-08-27","cited_by_count":3,"area":null},{"id":"2210.07140","title":"U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction","created":"2022-10-13","cited_by_count":3,"area":null},{"id":"2310.08984","title":"UniParser: Multi-Human Parsing with Unified Correlation Representation Learning","created":"2023-10-13","cited_by_count":3,"area":null},{"id":"2111.06162","title":"Clicking Matters:Towards Interactive Human Parsing","created":"2021-11-11","cited_by_count":2,"area":null},{"id":"2209.11024","title":"Google Coral-based edge computing person reidentification using human parsing combined with analytical method","created":"2022-09-22","cited_by_count":2,"area":null},{"id":"2212.13693","title":"Parsing Objects at a Finer Granularity: A Survey","created":"2022-12-28","cited_by_count":2,"area":null},{"id":"2304.11356","title":"Single-stage Multi-human Parsing via Point Sets and Center-based Offsets","created":"2023-04-22","cited_by_count":2,"area":null},{"id":"2305.19547","title":"Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2307.07977","title":"Integrating Human Parsing and Pose Network for Human Action Recognition","created":"2023-07-16","cited_by_count":2,"area":null},{"id":"2311.18618","title":"JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation","created":"2023-11-30","cited_by_count":2,"area":null},{"id":"2403.08650","title":"Data Augmentation in Human-Centric Vision","created":"2024-03-13","cited_by_count":2,"area":null},{"id":"2409.02715","title":"Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach","created":"2024-09-01","cited_by_count":2,"area":null},{"id":"2503.22237","title":"SCHNet: SAM Marries CLIP for Human Parsing","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2301.12416","title":"Deep Learning for Human Parsing: A Survey","created":"2023-01-29","cited_by_count":1,"area":null},{"id":"2309.00938","title":"Exploring the Robustness of Human Parsers Towards Common Corruptions","created":"2023-09-02","cited_by_count":1,"area":null},{"id":"2407.03549","title":"POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation","created":"2024-07-04","cited_by_count":1,"area":null},{"id":"2412.14643","title":"RefHCM: A Unified Model for Referring Perceptions in Human-Centric Scenarios","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2101.10913","title":"Nondiscriminatory Treatment: a straightforward framework for multi-human parsing","created":"2021-01-26","cited_by_count":0,"area":null},{"id":"2106.07409","title":"3rd Place Solution for Short-video Face Parsing Challenge","created":"2021-06-14","cited_by_count":0,"area":null},{"id":"2106.08650","title":"Shuffle Transformer with Feature Alignment for Video Face Parsing","created":"2021-06-16","cited_by_count":0,"area":null},{"id":"2211.06688","title":"Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning","created":"2022-11-12","cited_by_count":0,"area":null},{"id":"2308.12218","title":"CIParsing: Unifying Causality Properties into Multiple Human Parsing","created":"2023-08-23","cited_by_count":0,"area":null},{"id":"2401.00155","title":"A comprehensive framework for occluded human pose estimation","created":"2023-12-30","cited_by_count":0,"area":null},{"id":"2401.06430","title":"Mutual Distillation Learning For Person Re-Identification","created":"2024-01-12","cited_by_count":0,"area":null},{"id":"2403.19213","title":"Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting","created":"2024-03-28","cited_by_count":0,"area":null},{"id":"2503.01144","title":"One-shot In-context Part Segmentation","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2509.10093","title":"Leveraging Multi-View Weak Supervision for Occlusion-Aware Multi-Human Parsing","created":"2025-09-12","cited_by_count":0,"area":null}],"next_cursor":null}