42 citations · 49 across the 6 of their papers we have counts for
6 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…
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…
Federated Self-supervised Learning for Video Understanding
Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen +2
The ubiquity of camera-enabled mobile devices has lead to large amounts of unlabelled video data being produced at the edge. Although various self-supervised learning (SSL) methods…
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu +4
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning. The VCGAN…