4 citations · 8 across the 5 of their papers we have counts for
5 papers
Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition
Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +3
While significant work has been done on personality recognition, the lack of multilingual datasets remains an unresolved challenge. To address this, we propose ADAM (Cross-Lingual…
Siamese-Driven Optimization for Low-Resolution Image Latent Embedding in Image Captioning
Jing Jie Tan, Anissa Mokraoui, Ban-Hoe Kwan +2
Image captioning is essential in many fields including assisting visually impaired individuals, improving content management systems, and enhancing human-computer interaction. Howe…
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…
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…
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune, Anissa Mokraoui
Few-Shot Object Detection (FSOD) is a rapidly growing field in computer vision. It consists in finding all occurrences of a given set of classes with only a few annotated examples…