2 citations · 6 across the 7 of their papers we have counts for
7 papers
Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
Duy A. Nguyen, Abhi Kamboj, Minh N. Do
Addressing missing modalities and limited labeled data is crucial for advancing robust multimodal learning. We propose Robult, a scalable framework designed to mitigate these chall…
Towards Achieving Perfect Multimodal Alignment
Abhi Kamboj, Minh N. Do
Multimodal alignment constructs a joint latent vector space where modalities representing the same concept map to neighboring latent vectors. We formulate this as an inverse proble…
C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
Abhi Kamboj, Anh Duy Nguyen, Minh N. Do
In order to unlock the potential of diverse sensors, we investigate a method to transfer knowledge between time-series modalities using a multimodal \textit{temporal} representatio…
The Progression of Transformers from Language to Vision to MOT: A Literature Review on Multi-Object Tracking with Transformers
Abhi Kamboj
The transformer neural network architecture allows for autoregressive sequence-to-sequence modeling through the use of attention layers. It was originally created with the applicat…
A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping
Abhi Kamboj, Katherine Driggs-Campbell
Robotic grasping presents a difficult motor task in real-world scenarios, constituting a major hurdle to the deployment of capable robots across various industries. Notably, the sc…
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
Abhi Kamboj, Minh Do
Despite living in a multi-sensory world, most AI models are limited to textual and visual understanding of human motion and behavior. In fact, full situational awareness of human m…
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots
Abhi Kamboj, Tianchen Ji, Katie Driggs-Campbell
Agriculture is facing a labor crisis, leading to increased interest in fleets of small, under-canopy robots (agbots) that can perform precise, targeted actions (e.g., crop scouting…