11 citations · 28 across the 16 of their papers we have counts for
9 papers · 1 filter
Scalable Autoregressive Monocular Depth Estimation
Jinhong Wang, Jian Liu, Dongqi Tang +5
This paper shows that the autoregressive model is an effective and scalable monocular depth estimator. Our idea is simple: We tackle the monocular depth estimation (MDE) task with…
TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
Yixuan Wu, Kaiyuan Hu, Qian Shao +3
The advent of telemedicine represents a transformative development in leveraging technology to extend the reach of specialized medical expertise to remote surgeries, a field where…
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
Jiahuan Yan, Jintai Chen, Qianxing Wang +2
Tabular datasets play a crucial role in various applications. Thus, developing efficient, effective, and widely compatible prediction algorithms for tabular data is important. Curr…
Group-On: Boosting One-Shot Segmentation with Supportive Query
Hanjing Zhou, Mingze Yin, Danny Chen +2
One-shot semantic segmentation aims to segment query images given only ONE annotated support image of the same class. This task is challenging because target objects in the support…
Multi-rater Prompting for Ambiguous Medical Image Segmentation
Jinhong Wang, Yi Cheng, Jintai Chen +3
Multi-rater annotations commonly occur when medical images are independently annotated by multiple experts (raters). In this paper, we tackle two challenges arisen in multi-rater a…
PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis
Jinhong Wang, Tingting Chen, Jintai Chen +5
Automatic ophthalmic disease diagnosis on fundus images is important in clinical practice. However, due to complex fundus textures and limited annotated data, developing an effecti…