Search Results for author:
Found 11 papers, 5 papers with code
CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability
Our framework considers a low-resolution signal encoded with VVC intra-mode as a base-layer (BL), and a deep conditional autoencoder with hyperprior (AE-HP) as an enhancement-layer (EL) model.
Reveal of Vision Transformers Robustness against Adversarial Attacks
For instance, we found that 1) Vanilla ViTs or hybrid-ViTs are more robust than CNNs under Lp-based attacks and under adaptive attacks.
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
Salient human detection (SHD) in dynamic 360{\deg} immersive videos is of great importance for various applications such as robotics, inter-human and human-object interaction in augmented reality.
CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection
In the past few years, numerous deep learning methods have been proposed to address the task of segmenting salient objects from RGB images.
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
In this paper, we focus on image classification task and attempt to provide a survey for detection methods of test-time evasion attacks on neural network classifiers.
Learning Synergistic Attention for Light Field Salient Object Detection
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with advanced attention mechanisms.
Multitask Learning for VVC Quality Enhancement and Super-Resolution
The proposed solution enables a good performance in both mitigating coding artifacts and super-resolution with fewer network parameters compared to traditional specialized architectures.
Binary Probability Model for Learning Based Image Compression
In this paper, we propose to enhance learned image compression systems with a richer probability model for the latent variables.
A Fixation-based 360° Benchmark Dataset for Salient Object Detection
Experimental results show a limitation of the current methods when used for SOD in panoramic images, which indicates the proposed dataset is challenging.
Quality Assessment of DIBR-synthesized views: An Overview
In this paper, we provide a comprehensive survey on various current approaches for DIBR-synthesized views.
