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- 496
- PyramidBox: A Context-Assisted Single Shot Face Detector425
By exploiting the value of context, PyramidBox achieves superior performance among the state-of-the-art over the two common face detection benchmarks, FDDB and WIDER FACE.
- Towards Accurate Scene Text Recognition With Semantic Reasoning Networks384
This work proposes a novel end-to-end trainable framework named semantic reasoning network (SRN) for accurate scene text recognition, where a global semantic reasoning module (GSRM) is introduced to capture global semantic context through multi-way parallel transmission.
- ACFNet: Attentional Class Feature Network for Semantic Segmentation315
This paper presents the concept of class center which extracts the global context from a categorical perspective, and proposes a novel module, named Attentional Class Feature (ACF) module, to calculate and adaptively combine different class centers according to each pixel.
- ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT272
This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT that consists of three major challenges: i) scene text detection, ii) sceneText recognition, and iii) scenetext spotting.
- 223
- ICDAR 2019 Competition on Large-Scale Street View Text with Partial Labeling - RRC-LSVT207
This competition aims to explore the abilities of state-of-the-art methods to detect and recognize text instances from large-scale street view images, closing gaps between research benchmarks and real applications.
- Editing Text in the Wild171
This work proposes an end-to-end trainable style retention network (SRNet) that consists of three modules: text conversion module, background inpainting module and fusion module, which is the first attempt to edit text in natural images at the word level.
- 165
- StrucTexT: Structured Text Understanding with Multi-Modal Transformers157
This paper proposes a unified framework named StrucTexT, which is flexible and effective for handling both sub-tasks, and introduces a segment-token aligned encoder to deal with the entity labeling and entity linking tasks at different levels of granularity.
- Real-Time Neural Radiance Talking Portrait Synthesis via Audio-Spatial Decomposition137
An efficient NeRF-based framework is proposed, which enables faster convergence and real-time synthesizing of stable talking portraits, by utilizing the recent success of grid-based NeRF.
- StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator125
This paper designs a mask-guided spatial information encoding module that preserves the details of the given face and enables personalized lip-sync by introducing style space and generator refinement on only limited frames, so the identity and talking style of a target person could be accurately preserved.
- NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results106
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results, based on the SIDD benchmark.
- PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network105
The PGNet is a single-shot text spotter, where the pixel-level character classification map is learned with proposed PG-CTC loss avoiding the usage of character-level annotations, and a graph refinement module (GRM) is proposed to optimize the coarse recognition and improve the end-to-end performance.
- Few-Shot Font Generation by Learning Fine-Grained Local Styles89
A new font generation approach by learning the fine-grained local styles from references, and the spatial correspondence between the content and reference glyphs, which outperforms the state-of-the-art methods in FFG.
- MobileFaceSwap: A Lightweight Framework for Video Face Swapping87
A lightweight Identity-aware Dynamic Network (IDN) is proposed for subject-agnostic face swapping by dynamically adjusting the model parameters according to the identity information by introducing two dynamic neural network techniques, including the weights prediction and weights modulation.
- ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval86
A novel fusion token based transformer aggregation approach to exchange the necessary scene text information only through the fusion token and concentrate on the most important features in each modality to tackle the modality missing problem of scene text.
- A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning80
This paper proposes a novel segmentation-based text detector, namely SAST, which employs a context attended multi-task learning framework based on a Fully Convolutional Network to learn various geometric properties for the reconstruction of polygonal representation of text regions.
- Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised Learning63
A text reading network in a partially supervised learning framework, which enables to localize and recognize text, learn from fully and weakly annotated data simultaneously, and localize the best matched text proposals from weakly labeled images is designed.
- EATEN: Entity-Aware Attention for Single Shot Visual Text Extraction60
This paper proposes an Entity-aware Attention Text Extraction Network called EATEN, which is an end-to-end trainable system to extract the ToIs without any post-processing, and is the first single shot method to extract entities from images.
- 59
- FaceController: Controllable Attribute Editing for Face in the Wild53
This work proposes a simple feed-forward network to generate high-fidelity manipulated faces with one or multiple desired face attributes manipulated while other details are preserved by simply employing some existing and easy-obtainable prior information.
- 51
- AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results43
This paper introduces the real image Super-Resolution challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020, and gauges the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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