21 citations · 42 across the 9 of their papers we have counts for
14 papers · 1 filter
Moving Object Based Collision-Free Video Synopsis
Anton Jeran Ratnarajah, Sahani Goonetilleke, Dumindu Tissera +2
Video synopsis, summarizing a video to generate a shorter video by exploiting the spatial and temporal redundancies, is important for surveillance and archiving. Existing trajector…
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation
Amaya Dharmasiri, Dinithi Dissanayake, Mohamed Afham +3
3D generative models have been recently successful in generating realistic 3D objects in the form of point clouds. However, most models do not offer controllability to manipulate t…
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
Mohamed Afham, Ranga Rodrigo
Few-Shot learning aims to train and optimize a model that can adapt to unseen visual classes with only a few labeled examples. The existing few-shot learning (FSL) methods, heavily…
Realistic, Animatable Human Reconstructions for Virtual Fit-On
Gayal Kuruppu, Bumuthu Dilshan, Shehan Samarasinghe +2
We present an end-to-end virtual try-on pipeline, that can fit different clothes on a personalized 3-D human model, reconstructed using a single RGB image. Our main idea is to cons…
Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama +5
Recent work done on traffic sign and traffic light detection focus on improving detection accuracy in complex scenarios, yet many fail to deliver real-time performance, specificall…
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham, Isuru Dissanayake, Dinithi Dissanayake +3
Manual annotation of large-scale point cloud dataset for varying tasks such as 3D object classification, segmentation and detection is often laborious owing to the irregular struct…