17 citations · 22 across the 4 of their papers we have counts for
4 papers
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data
Andrej Janda, Brandon Wagstaff, Edwin G. Ng +1
Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly. This reduction is particularly important for semantic segmentation…
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Andrej Janda, Brandon Wagstaff, Edwin G. Ng +1
Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly. This reduction is especially important for semantic segmentation t…
Pushing the Limits of Non-Autoregressive Speech Recognition
Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang +1
We combine recent advancements in end-to-end speech recognition to non-autoregressive automatic speech recognition. We push the limits of non-autoregressive state-of-the-art result…
Understanding Guided Image Captioning Performance across Domains
Edwin G. Ng, Bo Pang, Piyush Sharma +1
Image captioning models generally lack the capability to take into account user interest, and usually default to global descriptions that try to balance readability, informativenes…