369 citations · 1.8k across the 93 of their papers we have counts for
12 papers · 1 filter
Quantum-Inspired Machine Learning: a Survey
Larry Huynh, Jin Hong, Ajmal Mian +3
Quantum-inspired Machine Learning (QiML) is a burgeoning field, receiving global attention from researchers for its potential to leverage principles of quantum mechanics within cla…
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
Zijie Wu, Yaonan Wang, Mingtao Feng +2
Diffusion probabilistic models have achieved remarkable success in text guided image generation. However, generating 3D shapes is still challenging due to the lack of sufficient da…
Spectrum-guided Multi-granularity Referring Video Object Segmentation
Bo Miao, Mohammed Bennamoun, Yongsheng Gao +1
Current referring video object segmentation (R-VOS) techniques extract conditional kernels from encoded (low-resolution) vision-language features to segment the decoded high-resolu…
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar +1
Localization is a fundamental task in robotics for autonomous navigation. Existing localization methods rely on a single input data modality or train several computational models t…
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
Jordan Vice, Naveed Akhtar, Richard Hartley +1
The rise in popularity of text-to-image generative artificial intelligence (AI) has attracted widespread public interest. We demonstrate that this technology can be attacked to gen…
A Comprehensive Overview of Large Language Models
Humza Naveed, Asad Ullah Khan, Shi Qiu +6
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of r…
Human Gesture and Gait Analysis for Autism Detection
Sania Zahan, Zulqarnain Gilani, Ghulam Mubashar Hassan +1
Autism diagnosis presents a major challenge due to the vast heterogeneity of the condition and the elusive nature of early detection. Atypical gait and gesture patterns are dominan…
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds
Yong He, Hongshan Yu, Zhengeng Yang +3
Local features and contextual dependencies are crucial for 3D point cloud analysis. Many works have been devoted to designing better local convolutional kernels that exploit the co…
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Yong He, Hongshan Yu, Zhengeng Yang +3
Point cloud processing methods exploit local point features and global context through aggregation which does not explicity model the internal correlations between local and global…
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
Cris Cunha, Wei Liu, Tim French +1
We present Q-Cogni, an algorithmically integrated causal reinforcement learning framework that redesigns Q-Learning with an autonomous causal structure discovery method to improve…
Learning Sparse Temporal Video Mapping for Action Quality Assessment in Floor Gymnastics
Sania Zahan, Ghulam Mubashar Hassan, Ajmal Mian
Athlete performance measurement in sports videos requires modeling long sequences since the entire spatio-temporal progression contributes dominantly to the performance. It is cruc…
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar +2
Precise localization is critical for autonomous vehicles. We present a self-supervised learning method that employs Transformers for the first time for the task of outdoor localiza…