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Chao Shi

4 accepted papers

2026

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models

CVPR 2026

In the progress of industrial anomaly detection, general anomaly detection (GAD) is an emerging trend and also the ultimate goal. Unlike the conventional single- and multi-class AD, general AD aims to train a general AD model that can directly detect anomalies in diverse novel classes without any re

Cited by 0SourcecodeScholar
2022

D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat

EMNLP 2022main

In a depression-diagnosis-directed clinical session, doctors initiate a conversation with ample emotional support that guides the patients to expose their symptoms based on clinical diagnosis criteria. Such a dialogue system is distinguished from existing single-purpose human-machine dialog systems,…

2022

Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure

ECCV 2022poster

"The superior performance of object detectors is often established under the condition that the test samples are in the same distribution as the training data. However, in most practical applications, out-of-distribution (OOD) instances are inevitable and usually lead to detection uncertainty. In th…

Cited by 9SourcePDFScholar
2021

Real-time 3D Navigation-based Semi-Automatic Surgical Robotic System for Pelvic Fracture Reduction

IROS 2021poster

Pelvic fracture is a serious high-energy injury with highest disability and mortality rate among all fractures. At present, the reduction of pelvic fracture is still completely dependent on surgeons' experience, which may lead to poor effect of pelvic reduction, thus seriously affecting surgical tre…

Cited by 13SourceScholar