4 citations · 6 across the 5 of their papers we have counts for
5 papers
AudioRepInceptionNeXt: A lightweight single-stream architecture for efficient audio recognition
Kin Wai Lau, Yasar Abbas Ur Rehman, Lai-Man Po
Recent research has successfully adapted vision-based convolutional neural network (CNN) architectures for audio recognition tasks using Mel-Spectrograms. However, these CNNs have…
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding
Yasar Abbas Ur Rehman, Kin Wai Lau, Yuyang Xie +2
The integration of Federated Learning (FL) and Self-supervised Learning (SSL) offers a unique and synergetic combination to exploit the audio data for general-purpose audio underst…
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
Tsai Hor Chan, Kin Wai Lau, Jiajun Shen +2
Uncertainty estimation aims to evaluate the confidence of a trained deep neural network. However, existing uncertainty estimation approaches rely on low-dimensional distributional…
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Kin Wai Lau, Lai-Man Po, Yasar Abbas Ur Rehman
Visual Attention Networks (VAN) with Large Kernel Attention (LKA) modules have been shown to provide remarkable performance, that surpasses Vision Transformers (ViTs), on a range o…
AudioInceptionNeXt: TCL AI LAB Submission to EPIC-SOUND Audio-Based-Interaction-Recognition Challenge 2023
Kin Wai Lau, Yasar Abbas Ur Rehman, Yuyang Xie +1
This report presents the technical details of our submission to the 2023 Epic-Kitchen EPIC-SOUNDS Audio-Based Interaction Recognition Challenge. The task is to learn the mapping fr…