Search Results for author:
Found 8 papers, 2 papers with code
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation
To address this limitation, we propose a novel bidirectional conditioning factorization in a semantic-aligned space for SGG, enabling efficient and generalizable interaction between entities and predicates.
HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels
Composed Image Retrieval (CIR) aims to retrieve images based on a query image with text.
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
Cameras capture sensor RAW images and transform them into pleasant RGB images, suitable for the human eyes, using their integrated Image Signal Processor (ISP).
Lightweight Vision Transformer with Cross Feature Attention
Recent advances in vision transformers (ViTs) have achieved great performance in visual recognition tasks.
WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor
To increase the correctness of the evaluation of architectures, besides direct evaluation using the inherited weights, we further apply a few-shot predictor to assess the architecture on the other hand.
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
Here, recurrent neural network based adaptive text region representation is proposed for text region refinement, where a pair of boundary points are predicted each time step until no new points are found.
Deep Residual Text Detection Network for Scene Text
Scene text detection is a challenging problem in computer vision.
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.
