4 citations · 8 across the 8 of their papers we have counts for
9 papers
One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement
Ali Abedi, Q. M. Jonathan Wu, Ning Zhang +1
Federated unsupervised domain adaptation (FUDA) addresses the challenge of adapting models to an unlabeled target domain using decentralized source domains while preserving data pr…
Towards Automatic Video Annotation with ASH: Zero-Shot Open-Vocabulary Multi-Object Tracking and Segmentation
Arash Rocky, Q. M. Jonathan Wu
Memory-attention-based Video Instance Segmentation (VIS) methods have demonstrated strong zero-shot tracking capability, yet their substantial memory requirements confine them to s…
Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via Bézier Curve Modelling
Shuaixin Liu, Kunqian Li, Yilin Ding +4
We introduce a novel vision-based framework for in-situ trunk identification and length measurement of sea cucumbers, which plays a crucial role in the monitoring of marine ranchin…
You Only Look at Once for Real-time and Generic Multi-Task
Jiayuan Wang, Q. M. Jonathan Wu, Ning Zhang
High precision, lightweight, and real-time responsiveness are three essential requirements for implementing autonomous driving. In this study, we incorporate A-YOLOM, an adaptive,…
Secret-to-Image Reversible Transformation for Generative Steganography
Zhili Zhou, Yuecheng Su, Q. M. Jonathan Wu +2
Recently, generative steganography that transforms secret information to a generated image has been a promising technique to resist steganalysis detection. However, due to the inef…
High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images
Ashirbani Saha, Q. M. Jonathan Wu
A blind approach to evaluate the perceptual sharpness present in a natural image is proposed. Though the literature demonstrates a set of variegated visual cues to detect or evalua…
Full-reference image quality assessment by combining global and local distortion measures
Ashirbani Saha, Q. M. Jonathan Wu
Full-reference image quality assessment (FR-IQA) techniques compare a reference and a distorted/test image and predict the perceptual quality of the test image in terms of a scalar…
Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight
Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang +1
According to conventional neural network theories, the feature of single-hidden-layer feedforward neural networks(SLFNs) resorts to parameters of the weighted connections and hidde…
Random matrix route to image denoising
Gaurab Basu, Kaushik Ray, Prasanta K. Panigrahi
We make use of recent results from random matrix theory to identify a derived threshold, for isolating noise from image features. The procedure assumes the existence of a set of no…