6 papers
Indirect Attention: Turning Context Misalignment into a Feature
Bissmella Bahaduri, Hicham Talaoubrid, Fangchen Feng +2
The attention mechanism has become a cornerstone of modern deep learning architectures, where keys and values are typically derived from the same underlying sequence or representat…
Interactive Masked Image Modeling for Multimodal Object Detection in Remote Sensing
Minh-Duc Vu, Zuheng Ming, Fangchen Feng +2
Object detection in remote sensing imagery plays a vital role in various Earth observation applications. However, unlike object detection in natural scene images, this task is part…
Universal End-to-End Neural Network for Lossy Image Compression
Bouzid Arezki, Fangchen Feng, Anissa Mokraoui
This paper presents variable bitrate lossy image compression using a VAE-based neural network. An adaptable image quality adjustment strategy is proposed. The key innovation involv…
Convolutional Transformer-Based Image Compression
Bouzid Arezki, Fangchen Feng, Anissa Mokraoui
In this paper, we present a novel transformer-based architecture for end-to-end image compression. Our architecture incorporates blocks that effectively capture local dependencies…
Efficient Image Compression Using Advanced State Space Models
Bouzid Arezki, Anissa Mokraoui, Fangchen Feng
Transformers have led to learning-based image compression methods that outperform traditional approaches. However, these methods often suffer from high complexity, limiting their p…
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images
Bissmella Bahaduri, Zuheng Ming, Fangchen Feng +1
Object detection in Remote Sensing Images (RSI) is a critical task for numerous applications in Earth Observation (EO). Differing from object detection in natural images, object de…