Search Results for author:
Found 13 papers, 4 papers with code
Question Aware Vision Transformer for Multimodal Reasoning
This integration results in dynamic visual features focusing on relevant image aspects to the posed question.
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition
Reading text in real-world scenarios often requires understanding the context surrounding it, especially when dealing with poor-quality text.
Towards Models that Can See and Read
Visual Question Answering (VQA) and Image Captioning (CAP), which are among the most popular vision-language tasks, have analogous scene-text versions that require reasoning from the text in the image.
Out-of-Vocabulary Challenge Report
This paper presents final results of the Out-Of-Vocabulary 2022 (OOV) challenge.
Optical Character Recognition
Optical Character Recognition (OCR)
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Multimodal Semi-Supervised Learning for Text Recognition
In a novel setup, consistency is enforced on each modality separately.
Learning Multimodal Affinities for Textual Editing in Images
Nowadays, as cameras are rapidly adopted in our daily routine, images of documents are becoming both abundant and prevalent.
On Calibration of Scene-Text Recognition Models
Although the topic of confidence calibration has been an active research area for the last several decades, the case of structured and sequence prediction calibration has been scarcely explored.
Sequence-to-Sequence Contrastive Learning for Text Recognition
We propose a framework for sequence-to-sequence contrastive learning (SeqCLR) of visual representations, which we apply to text recognition.
Can You Read Me Now? Content Aware Rectification using Angle Supervision
We present CREASE: Content Aware Rectification using Angle Supervision, the first learned method for document rectification that relies on the document's content, the location of the words and specifically their orientation, as hints to assist in the rectification process.
Optical Character Recognition
Optical Character Recognition (OCR)
SCATTER: Selective Context Attentional Scene Text Recognizer
The first attention step re-weights visual features from a CNN backbone together with contextual features computed by a BiLSTM layer.
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
This is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.
Dynamic Time-Of-Flight
Operating in this mode the camera essentially forgets all information previously captured - and performs depth inference from scratch for every frame.
Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo
We propose a computational model for shape, illumination and albedo inference in a pulsed time-of-flight (TOF) camera.
