Jiaqi Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective	2024	Knox S. Long Guoyang Xie Lianbo Ma Jiaqi Liu Zhichao Lu
+ PDF Chat	Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt	2024	Jiaqi Liu Kai Wu Qiang Nie Huiling Chen Bin-Bin Gao Yong Liu Jinbao Wang Chengjie Wang Feng Zheng
+ PDF Chat	IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing	2024	Guoyang Xie Jinbao Wang Jiaqi Liu Jiayi Lyu Yong Liu Chengjie Wang Feng Zheng Yaochu Jin
+	EasyNet: An Easy Network for 3D Industrial Anomaly Detection	2023	Ruitao Chen Guoyang Xie Jiaqi Liu Jinbao Wang Ziqi Luo Jinfan Wang Feng Zheng

Common Coauthors

Coauthor	Papers Together
Jinbao Wang	3
Chengjie Wang	2
Guoyang Xie	2
Feng Zheng	2
Yaochu Jin	1
Guoyang Xie	1
Kai Wu	1
Qiang Nie	1
Zhichao Lu	1
Lianbo Ma	1
Jinfan Wang	1
Ziqi Luo	1
Huiling Chen	1
Yong Liu	1
Feng Zheng	1
Bin-Bin Gao	1
Jiayi Lyu	1
Knox S. Long	1
Ruitao Chen	1
Yong Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings	2020	Paul Bergmann Michael Fauser David Sattlegger Carsten Steger	3
+ PDF Chat	Anomaly Detection via Reverse Distillation from One-Class Embedding	2022	Hanqiu Deng Xingyu Li	3
+ PDF Chat	DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection	2021	Vitjan Zavrtanik Matej Kristan Danijel Skočaj	3
+ PDF Chat	CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows	2022	Denis Gudovskiy Shun Ishizaka Kazuki Kozuka	3
+ PDF Chat	Towards Total Recall in Industrial Anomaly Detection	2022	Karsten Roth Latha Pemula Joaquin Zepeda Bernhard Schölkopf Thomas Brox Peter Gehler	3
+ PDF Chat	Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows	2021	Marco Rudolph Bastian Wandt Bodo Rosenhahn	3
+	Sub-Image Anomaly Detection with Deep Pyramid Correspondences	2020	Niv Cohen Yedid Hoshen	2
+	Anomaly localization by modeling perceptual features	2020	David Dehaene Pierre Eline	2
+ PDF Chat	PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization	2021	Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier	2
+ PDF Chat	Inpainting Transformer for Anomaly Detection	2022	Jonathan Pirnay Keng Yip Chai	2
+ PDF Chat	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	2021	Chun‐Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister	2
+ PDF Chat	Multiresolution Knowledge Distillation for Anomaly Detection	2021	Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh Mohammad Hossein Rohban Hamid R. Rabiee	2
+ PDF Chat	Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection	2022	Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt	2
+ PDF Chat	VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization	2021	Pankaj Kumar Mishra Riccardo Verk Daniele Fornasier Claudio Piciarelli Gian Luca Foresti	2
+	FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows	2021	Jiawei Yu Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu	2
+ PDF Chat	CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization	2022	Sungwook Lee Seunghyun Lee Byung Cheol Song	2
+ PDF Chat	DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection	2022	Vitjan Zavrtanik Matej Kristan Danijel Skočaj	2
+ PDF Chat	SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation	2022	Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer	2
+	Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision	2023	Han Gao Huiyuan Luo Fei Shen Zhengtao Zhang	2
+ PDF Chat	MOCCA: Multilayer One-Class Classification for Anomaly Detection	2021	Fabio Valerio Massoli Fabrizio Falchi Alperen Kantarcı Şeymanur Aktı Hazım Kemal Ekenel Giuseppe Amato	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions	2021	Daniel Stanley Tan Yi-Chun Chen Trista Pei-Chun Chen Wei-Chao Chen	1
+ PDF Chat	Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms	2021	Hengli Wang Rui Fan Yuxiang Sun Ming Liu	1
+ PDF Chat	Prototypical Residual Networks for Anomaly Detection and Localization	2023	Hui Zhang Zuxuan Wu Zheng Wang Zhineng Chen Yu‐Gang Jiang	1
+ PDF Chat	PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow	2023	Jiarui Lei Xiaobo Hu Yue Wang Dong Liu	1
+ PDF Chat	A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection	2021	Shelly Sheynin Sagie Benaim Lior Wolf	1
+ PDF Chat	Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise	2021	Anne-Sophie Collin Christophe De Vleeschouwer	1
+	AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization	2023	Hanqiu Deng Zhaoxiang Zhang Jinan Bao Xingyu Li	1
+	Real3D-AD: A Dataset of Point Cloud Anomaly Detection	2023	Jiaqi Liu Guoyang Xie Ruitao Chen Xinpeng Li Jinbao Wang Yong Liu Chengjie Wang Feng Zheng	1
+ PDF Chat	Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders	2019	Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger Carsten Steger	1
+	Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation	2021	Jin-Hwa Kim Do-Hyeong Kim Saehoon Yi Taehoon Lee	1
+ PDF Chat	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation	2021	Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen	1
+ PDF Chat	Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence	2018	Arslan Chaudhry Puneet K. Dokania Thalaiyasingam Ajanthan Philip H. S. Torr	1
+	Contrastive Predictive Coding for Anomaly Detection	2021	Puck de Haan Sindy Löwe	1
+ PDF Chat	Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection	2021	Jinlei Hou Yingying Zhang Qiaoyong Zhong Di Xie Shiliang Pu Hong Zhou	1
+	Explainable Deep Few-shot Anomaly Detection with Deviation Networks	2021	Guansong Pang Choubo Ding Chunhua Shen Anton van den Hengel	1
+ PDF Chat	Anomaly Detection Via Self-Organizing Map	2021	Ning Li Kaitao Jiang Zhiheng Ma Xing Wei Xiaopeng Hong Yihong Gong	1
+	Anomaly detection of defect using energy of point pattern features within random finite set framework	2023	Ammar Mansoor Kamoona Amirali K. Gostar Xiaoying Wang Mark Easton Alireza Bab‐Hadiashar Reza Hoseinnezhad	1
+ PDF Chat	Deep One-Class Classification via Interpolated Gaussian Descriptor	2022	Yuanhong Chen Yu Tian Guansong Pang Gustavo Carneiro	1
+	Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA).	2021	Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz	1
+	EasyNet: An Easy Network for 3D Industrial Anomaly Detection	2023	Ruitao Chen Guoyang Xie Jiaqi Liu Jinbao Wang Ziqi Luo Jinfan Wang Feng Zheng	1
+	P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks	2021	Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang	1
+	Student-Teacher Feature Pyramid Matching for Anomaly Detection	2021	Guodong Wang Shumin Han Errui Ding Di Huang	1
+ PDF Chat	PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation	2024	Jian Zhang Runwei Ding Miaoju Ban Linhui Dai	1
+ PDF Chat	Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection	2023	Xincheng Yao Ruoqi Li Zefeng Qian Yan Luo Chongyang Zhang	1
+	Reconstruction Student with Attention for Student-Teacher Pyramid Matching	2021	Shinji Yamada Kazuhiro Hotta	1
+	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization	2022	Paul Bergmann Xin Jin David Sattlegger Carsten Steger	1
+	Active Learning for Convolutional Neural Networks: A Core-Set Approach	2017	Ozan Şener Silvio Savarese	1
+	Data refinement for fully unsupervised visual inspection using pre-trained networks	2022	Antoine Cordier Benjamin Missaoui Pierre Gutierrez	1
+	Latent Outlier Exposure for Anomaly Detection with Contaminated Data	2022	Chen Qiu Aodong Li Marius Kloft Maja Rudolph Stephan Mandt	1