{"total":19,"rows":[{"id":"2108.09894","title":"CANet: A Context-Aware Network for Shadow Removal","created":"2021-08-23","cited_by_count":47,"area":null},{"id":"2305.15688","title":"Frame-Event Alignment and Fusion Network for High Frame Rate Tracking","created":"2023-05-25","cited_by_count":43,"area":null},{"id":"2108.02366","title":"Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning","created":"2021-08-05","cited_by_count":27,"area":null},{"id":"2109.06688","title":"Luminance Attentive Networks for HDR Image and Panorama Reconstruction","created":"2021-09-14","cited_by_count":18,"area":null},{"id":"2207.02796","title":"Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution","created":"2022-07-06","cited_by_count":16,"area":null},{"id":"2402.19215","title":"Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts","created":"2024-02-29","cited_by_count":16,"area":null},{"id":"2107.13516","title":"CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation","created":"2021-07-28","cited_by_count":10,"area":null},{"id":"2209.02280","title":"Progressive Glass Segmentation","created":"2022-09-06","cited_by_count":10,"area":null},{"id":"2404.11273","title":"Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution","created":"2024-04-17","cited_by_count":10,"area":null},{"id":"2207.12767","title":"Criteria Comparative Learning for Real-scene Image Super-Resolution","created":"2022-07-26","cited_by_count":8,"area":null},{"id":"2108.04521","title":"Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking","created":"2021-08-10","cited_by_count":6,"area":null},{"id":"2106.06966","title":"Feedback Pyramid Attention Networks for Single Image Super-Resolution","created":"2021-06-13","cited_by_count":3,"area":null},{"id":"2409.07092","title":"CWT-Net: Super-resolution of Histopathology Images Using a Cross-scale Wavelet-based Transformer","created":"2024-09-11","cited_by_count":3,"area":null},{"id":"2412.09646","title":"RealOSR: Latent Guidance Boosts Diffusion-based Real-world Omnidirectional Image Super-Resolutions","created":"2024-12-11","cited_by_count":3,"area":null},{"id":"2105.11422","title":"Multi-Level Attentive Convoluntional Neural Network for Crowd Counting","created":"2021-05-24","cited_by_count":1,"area":null},{"id":"2111.13078","title":"A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective","created":"2021-11-25","cited_by_count":1,"area":null},{"id":"2211.12845","title":"Super-resolution Reconstruction of Single Image for Latent features","created":"2022-11-16","cited_by_count":1,"area":null},{"id":"2212.04314","title":"A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information","created":"2022-12-08","cited_by_count":0,"area":null},{"id":"2307.16410","title":"HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution","created":"2023-07-31","cited_by_count":0,"area":null}],"next_cursor":null}