147 citations · 168 across the 6 of their papers we have counts for
6 papers
A Review on Methods and Applications in Multimodal Deep Learning
Jabeen Summaira, Xi Li, Amin Muhammad Shoib +1
Deep Learning has implemented a wide range of applications and has become increasingly popular in recent years. The goal of multimodal deep learning (MMDL) is to create models that…
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Yifeng Chen, Guangchen Lin, Songyuan Li +6
Panoptic segmentation aims to perform instance segmentation for foreground instances and semantic segmentation for background stuff simultaneously. The typical top-down pipeline co…
Adaptive Graph Representation Learning for Video Person Re-identification
Yiming Wu, Omar El Farouk Bourahla, Xi Li +3
Recent years have witnessed the remarkable progress of applying deep learning models in video person re-identification (Re-ID). A key factor for video person Re-ID is to effectivel…
Group-wise Deep Co-saliency Detection
Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla +2
In this paper, we propose an end-to-end group-wise deep co-saliency detection approach to address the co-salient object discovery problem based on the fully convolutional network (…
Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning
Shanshan Zhao, Xi Li, Omar El Farouk Bourahla
As an important and challenging problem in computer vision, learning based optical flow estimation aims to discover the intrinsic correspondence structure between two adjacent vide…
Boundary conditions for Shape from Shading
Lyes Abada, Saliha Aouat, Omar el farouk Bourahla
The Shape From Shading is one of a computer vision field. It studies the 3D reconstruction of an object from a single grayscale image. The difficulty of this field can be expressed…