1 citations · 1 across the 4 of their papers we have counts for
4 papers
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Junjie Chen, Jiebin Yan, Yuming Fang +1
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. Existing methods only rely on the feat…
2AFC Prompting of Large Multimodal Models for Image Quality Assessment
Hanwei Zhu, Xiangjie Sui, Baoliang Chen +4
While abundant research has been conducted on improving high-level visual understanding and reasoning capabilities of large multimodal models~(LMMs), their visual quality assessmen…
Perceptual Quality Assessment of 360 Images Based on Generative Scanpath Representation
Xiangjie Sui, Hanwei Zhu, Xuelin Liu +3
Despite substantial efforts dedicated to the design of heuristic models for omnidirectional (i.e., 360) image quality assessment (OIQA), a conspicuous gap remains due to th…
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Weide Liu, Zhonghua Wu, Yang Zhao +4
Current methods for few-shot segmentation (FSSeg) have mainly focused on improving the performance of novel classes while neglecting the performance of base classes. To overcome th…