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20232026
most citedBootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene Segmentation

Jun Huang, Meiyi Chen, Zijie Yue +6

Hysteroscopic surgical scene segmentation plays a pivotal role in understanding the hysteroscopic intraoperative environment as well as computer-assisted intervention. However, thi…

cs.CV2026

Weakly-Supervised Referring Video Object Segmentation through Text Supervision

Miaojing Shi, Jun Huang, Zijie Yue +1

Referring video object segmentation (RVOS) aims to segment the target instance in a video, referred by a text expression. Conventional approaches are mostly supervised learning, re…

cs.CV2024

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer

Xinyue Chen, Miaojing Shi, Zijian Zhou +2

Generalized few-shot semantic segmentation (GFSS) aims to segment objects of both base and novel classes, using sufficient samples of base classes and few samples of novel classes.…

cs.CV2024★ 2 cited

Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement

Zijie Yue, Miaojing Shi, Hanli Wang +3

Facial video-based remote physiological measurement is a promising research area for detecting human vital signs (e.g., heart rate, respiration frequency) in a non-contact way. Con…

cs.CV2024

Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation

Xinyue Chen, Miaojing Shi

The performance of supervised semantic segmentation methods highly relies on the availability of large-scale training data. To alleviate this dependence, few-shot semantic segmenta…

cs.CV2023

Multi-modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning

Jian Zhu, Hanli Wang, Miaojing Shi

The visual commonsense reasoning (VCR) task is to choose an answer and provide a justifying rationale based on the given image and textural question. Representative works first rec…