11 citations · 21 across the 12 of their papers we have counts for
12 papers
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification
Huy Nguyen, Kien Nguyen, Sridha Sridharan +1
Aerial-ground person re-identification (Re-ID) presents unique challenges in computer vision, stemming from the distinct differences in viewpoints, poses, and resolutions between h…
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification
Harshala Gammulle, Yubo Chen, Sridha Sridharan +2
Endoscopy plays a major role in identifying any underlying abnormalities within the gastrointestinal (GI) tract. There are multiple GI tract diseases that are life-threatening, suc…
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Tharindu Fernando, Harshala Gammulle, Sridha Sridharan +2
Humans exhibit complex motions that vary depending on the task that they are performing, the interactions they engage in, as well as subject-specific preferences. Therefore, foreca…
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models
Osman Tursun, Simon Denman, Sridha Sridharan +1
Heatmaps are widely used to interpret deep neural networks, particularly for computer vision tasks, and the heatmap-based explainable AI (XAI) techniques are a well-researched topi…
SESS: Saliency Enhancing with Scaling and Sliding
Osman Tursun, Simon Denman, Sridha Sridharan +1
High-quality saliency maps are essential in several machine learning application areas including explainable AI and weakly supervised object detection and segmentation. Many techni…
Point Cloud Segmentation Using Sparse Temporal Local Attention
Joshua Knights, Peyman Moghadam, Clinton Fookes +1
Point clouds are a key modality used for perception in autonomous vehicles, providing the means for a robust geometric understanding of the surrounding environment. However despite…