4 citations · 8 across the 8 of their papers we have counts for
6 papers · 1 filter
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,…
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…