default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDICIP 2021: Anchorage, AK, USA
- 2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021. IEEE 2021, ISBN 978-1-6654-3102-6
- Ke Wang, Guangyu Wang, Kang Zhang, Ting Chen:
An Adversarial Collaborative-Learning Approach for Corneal Scar Segmentation with Ocular Anterior Segment Photography. 1-5 - Li Diao, Haoyue Guo, Yue Zhou, Yayi He:
Bridging the GAP Between Outputs: Domain Adaptation for Lung Cancer IHC Segmentation. 6-10 - Yanan Wei, Jiang Tian, Cheng Zhong, Zhongchao Shi:
AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation. 11-15 - Xiaoming Liu
, Shuo Wang, Ying Zhang:
Meibomian Glands Segmentation In Near-Infrared Images With Weakly Supervised Deep Learning. 16-20 - Ziyang Wang, Zhengdong Zhang, Irina Voiculescu:
RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels. 21-25 - Jie Wang, Chaoliang Zhong, Cheng Feng, Jun Sun, Yasuto Yokota:
Feature Disentanglement For Cross-Domain Retina Vessel Segmentation. 26-30 - Dachuan Shi, Ruiyang Liu, Linmi Tao, Zuoxiang He, Li Huo:
Multi-Encoder Parse-Decoder Network for Sequential Medical Image Segmentation. 31-35 - Marco Domenico Cirillo, David Abramian, Anders Eklund:
What is The Best Data Augmentation For 3D Brain Tumor Segmentation? 36-40 - Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo:
L-Snet: From Region Localization To Scale Invariant Medical Image Segmentation. 41-45 - Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans. 46-50 - Nandinee Fariah Haq, Christina Zhang, Linlin Gao, Tianze Yu, Martin J. McKeown:
Connectivity Based Functional Segmentation Of The Brainstem. 51-55 - Lianyu Du, Liwei Hu, Xiaoyun Zhang, Yu-Min Zhong, Ya Zhang, Yanfeng Wang:
Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI. 56-60 - Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding:
Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. 61-65 - Stefan Cornelissen, Joost A. van der Putten, T. G. W. Boers, Jelmer B. Jukema, Kiki N. Fockens, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With:
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. 66-70 - Xiaoming Liu, Zhipeng Liu, Ying Zhang, Man Wang, Bo Li, Jinshan Tang:
Weakly-Supervised Automatic Biomarkers Detection And Classification Of Retinal Optical Coherence Tomography Images. 71-75 - Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto:
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. 76-80 - Ju-Hyeon Nam, Sang-Chul Lee:
Frequency Filtering for Data Augmentation in X-Ray Image Classification. 81-85 - Qi Zhang, Zhu Meng, Zhicheng Zhao, Fei Su:
GSLD: A Global Scanner with Local Discriminator Network for Fast Detection of Sparse Plasma Cell in Immunohistochemistry. 86-90 - Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu:
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. 91-95 - Junho Kim, Minsu Kim, Yong Man Ro:
Interpretation of Lesional Detection via Counterfactual Generation. 96-100 - Zhuangzhuang Wang, Mengning Yang, Yangfan Lyu, Kairun Chen, Qicheng Tang:
Nuclear Density Distribution Feature for Improving Cervical Histopathological Images Recognition. 101-105 - Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu:
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. 106-110 - Haiyu Zhou, Daoqiang Zhang:
Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis. 111-115 - Yiqing Shen, Jing Ke:
Su-Sampling Based Active Learning For Large-Scale Histopathology Image. 116-120 - Vikram Ravindra, Geoffrey Sanders, Ananth Grama:
Identifying Coherent Subgraphs In Dynamic Brain Networks. 121-125 - Yiqian Wang, Alexandra Warter, Melina Cavichini-Cordeiro, William R. Freeman, Dirk-Uwe G. Bartsch, Truong Q. Nguyen, Cheolhong An:
Learning to Correct Axial Motion in Oct for 3D Retinal Imaging. 126-130 - Guillaume Potier, Frédéric Lavancier, Stephan Kunne, Perrine Paul-Gilloteaux:
A Registration Error Estimation Framework for Correlative Imaging. 131-135 - Chongfei Huang, Chenhui Qiu, Zhiyi Peng, Jing Yuan, Dexing Kong:
Iterative Reweighted Local Cross Correlation Method for Nonlinear Registration of Multiphase Liver CT Images. 136-140 - Aishwarya H. Balwani, Joseph D. Miano, Ran Liu, Lindsey Kitchell, Judy A. Prasad, Erik C. Johnson, William R. Gray Roncal, Eva L. Dyer:
Multi-Scale Modeling of Neural Structure in X-Ray Imagery. 141-145 - Hyunseok Seo, Kelly M. Shin, Yeunwoong Kyung:
A Dual Domain Network For MRI Reconstruction Using Gabor Loss. 146-149 - Xuhui Li, Yong Xu, Feng Xiang, Qing Liu, Weihong Huang, Bin Xie:
KINET: A Non-Invasive Method For Predicting Ki67 Index Of Glioma. 150-154 - Tong Xin, Bohao Chen, Xi Chen, Hua Han:
UTR: Unsupervised Learning of Thickness-Insensitive Representations for Electron Microscope Image. 155-159 - Jan-Philipp Tauscher, Susana Castillo, Sebastian Bosse, Marcus A. Magnor:
EEG-Based Analysis of the Impact of Familiarity in the Perception of Deepfake Videos. 160-164 - Davood Karimi, Rabab Ward:
Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness. 165-169 - Mahesh Raveendranatha Panicker, Yale Tung Chen, M. Gayathri, A. N. Madhavanunni, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, A. P. Vinod:
Employing Acoustic Features To Aid Neural Networks Towards Platform Agnostic Learning In Lung Ultrasound Imaging. 170-174 - Xiaohong Liu, Kai Wang, Ting Chen:
Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients. 175-179 - Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. 180-184 - Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable Covid-19 Detection using Chest X-Ray Images. 185-189 - Han Yang, Mengke Zhang, Lu Shen, Qiuli Wang, Wanqiu Chen, Chen Liu, Minjian Hong:
Mmfc: Multi-Modal Fusion Cascade Framework For Covid-19 Disease Course Classification. 190-194 - Shehan Perera, Srikar Adhikari, Alper Yilmaz:
Pocformer: A Lightweight Transformer Architecture For Detection Of Covid-19 Using Point Of Care Ultrasound. 195-199 - Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D. M. Motiur Rahaman:
Features Of ICU Admission In X-Ray Images Of Covid-19 Patients. 200-204 - Jiawang Cao, Lulu Jiang, Junlin Hou, Longquan Jiang, Rui-Wei Zhao, Weiya Shi, Fei Shan, Rui Feng:
Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification. 205-209 - Fouzia Altaf, Syed M. S. Islam, Naeem Khalid Janjua, Naveed Akhtar:
Boosting Deep Transfer Learning For Covid-19 Classification. 210-214 - Ngan Le, James Sorensen, Toan Duc Bui, Arabinda Choudhary, Khoa Luu, Hien Van Nguyen:
PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing. 215-219 - Ruizhe Liu:
Cohabitation Discovery via Spatial and Temporal Clustering. 220-224 - Szu-Chi Chung, Cheng-Yu Hung, Huei-Lun Siao, Hung-Yi Wu, Wei-Hau Chang, I-Ping Tu:
Cryo-Ralib - A Modular Library for Accelerating Alignment in CRYO-EM. 225-229 - Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto:
Deep Pedestrian Density Estimation For Smart City Monitoring. 230-234 - Je Hyeong Hong, Hanjo Kim, Minsoo Kim, Gi Pyo Nam, Junghyun Cho, Hyeong-Seok Ko, Ig-Jae Kim:
A 3d Model-Based Approach For Fitting Masks To Faces In The Wild. 235-239 - Bo Yang, Jianming Wu, Gen Hattori:
Face Mask Aware Robust Facial Expression Recognition During The Covid-19 Pandemic. 240-244 - Philine Witzig, Evgeniy Upenik, Touradj Ebrahimi:
Open-Set Person Re-Identification Through Error Resilient Recurring Gallery Building. 245-249 - Omid Dehzangi, Paria Jeihouni, Victor S. Finomore, Ali Rezai:
Physiological Monitoring Of Front-Line Caregivers For Cv-19 Symptoms: Multi-Resolution Analysis & Convolutional-Recurrent Networks. 250-254 - Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts In Automated Diabetic Retinopathy Screening. 255-259 - Armando Garcia Hernandez, Pierre Fau, Stanislas Rapacchi, Julien Wojak, Hugues Mailleux, Mohamed Benkreira, Mouloud Adel:
Improving Image Quality In Low-Field MRI With Deep Learning. 260-263 - Xin Ma, Yiping Duan, Shuzhan Hu, Xiaoming Tao, Ning Ge:
Eeg Based Visual Classification With Multi-Feature Joint Learning. 264-268 - Yuxin Lin, Huimin Ma, Zeyu Pan, Rongquan Wang:
Depression Detection by Combining Eye Movement with Image Semantics. 269-273 - Runze Wang, Guoyan Zheng:
Disentangled Representation Learning For Deep MR To CT Synthesis Using Unpaired Data. 274-278 - Akihiro Fukuda, Changhee Han, Kazumi Hakamada:
Effort-Free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-Body Micro-Ct Scans. 279-283 - Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari, Gwenaelle Catheline:
Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs. 284-288 - Mehryar Abbasi, Parvaneh Saeedi, Jason Au, Jon Havelock:
A Deep Learning Approach for Prediction of IVF Implantation Outcome from Day 3 and Day 5 Time-Lapse Human Embryo Image Sequences. 289-293 - Francesco Rundo, Giuseppe Luigi Banna, Francesca Trenta, Sebastiano Battiato:
Advanced Deep Network with Attention and Genetic-Driven Reinforcement Learning Layer for an Efficient Cancer Treatment Outcome Prediction. 294-298 - Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu:
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. 299-303 - Chao Liu, Xiaodong Yang, Dading Chong, Wenwu Wang, Liang Li:
Enhancing Alzheimer's Disease Diagnosis via Hierarchical 3D-FCN with Multi-Modal Features. 304-308 - Armand Comas, Tim K. Marks, Hassan Mansour, Suhas Lohit, Yechi Ma, Xiaoming Liu:
Turnip: Time-Series U-Net With Recurrence For NIR Imaging PPG. 309-313 - Puneet Kumar, Vedanti Khokher, Yukti Gupta, Balasubramanian Raman:
Hybrid Fusion Based Approach for Multimodal Emotion Recognition with Insufficient Labeled Data. 314-318 - Chase J. Gaudet, Anthony S. Maida:
Removing Dimensional Restrictions On Complex/Hyper-Complex Neural Networks. 319-323 - Yuchen Liang, Yuehu Liu:
Adaptive Frequency Hopping Policy for Fast Pose Estimation. 324-328 - Tenta Sasaya, Wataru Watanabe, Toshiyuki Ono:
Depth Correction For Time-Of-Flight Camera Using Depth Distortion Dependency On Pulse Width Of Irradiated Light. 329-333 - Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy With Graph Filtering. 334-338 - Hong Joo Lee, Yong Man Ro:
Adversarially Robust Multi-Sensor Fusion Model Training Via Random Feature Fusion For Semantic Segmentation. 339-343 - Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle:
2DTPCA: A New Framework for Multilinear Principal Component Analysis. 344-348 - Ilya Kaufman, Ron Shapira Weber, Oren Freifeld:
Cyclic Diffeomorphic Transformer Nets For Contour Alignment. 349-353 - Abrar Wafa, Mahsa T. Pourazad, Panos Nasiopoulos:
Learning-Based Light Field View Synthesis for Efficient Transmission and Storage. 354-358 - Qipin Chen, Zhenyu Shi, Zhen Zuo, Jinmiao Fu, Yi Sun:
Two-Stream Hybrid Attention Network for Multimodal Classification. 359-363 - Keisuke Ozawa, Shinichi Sumiyoshi, Yusuke Sekikawa, Keisuke Uto, Yuichi Yoshida, Mitsuru Ambai:
Snapshot Multispectral Image Completion Via Self-Dictionary Transformed Tensor Nuclear Norm Minimization With Total Variation. 364-368 - Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán:
A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree. 369-373 - Takahiko Henmi, Esmeraldo Ronnie Rey Zara, Yoshihiro Hirohashi, Tsuyoshi Kato:
Adaptive Signal Variances: CNN Initialization Through Modern Architectures. 374-378 - Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse And Structured Visual Attention. 379-383 - Gao Peng, Yong-Lu Li, Hao Zhu, Jiajun Tang, Jin Xia, Cewu Lu:
VVS: Action Recognition With Virtual View Synthesis. 384-388 - Ze Meng, Xin Yao, Lifeng Sun:
Multi-Task Distillation: Towards Mitigating the Negative Transfer in Multi-Task Learning. 389-393 - Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis:
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. 394-398 - Michael Rotman, Lior Wolf:
Natural Statistics Of Network Activations And Implications For Knowledge Distillation. 399-403 - Thomas Oberlin, Mathieu Verm:
Regularization via Deep Generative Models: an Analysis Point of View. 404-408 - Yongjuan Ma, Yu Wang, Pengfei Zhu, Junwen Pan, Hong Shi:
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention. 409-413 - Qiankun Tang, Xiaogang Xu, Jun Wang:
Differentiable Dynamic Channel Association for Knowledge Distillation. 414-418 - Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu:
The Maximum a Posterior Estimation of Darts. 419-423 - Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán:
Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. 424-428 - Chih-Ting Liu, Man-Yu Lee, Tsai-Shien Chen, Shao-Yi Chien:
Hard Samples Rectification for Unsupervised Cross-Domain Person Re-Identification. 429-433 - Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. 434-438 - Pranay Gupta, Divyanshu Sharma, Ravi Kiran Sarvadevabhatla:
Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition. 439-443 - Ye Zheng, Li Cui:
Zero-Shot Object Detection With Transformers. 444-448 - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency. 449-453 - Ziyun Liang, Yun Gu, Jie Yang:
Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation. 454-458 - Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama:
Open-Set Domain Generalization VIA Metric Learning. 459-463 - Hyojun Go, Junyoung Byun, Changick Kim:
Rethinking Training Schedules For Verifiably Robust Networks. 464-468 - Jinsol Lee, Ghassan AlRegib:
Open-Set Recognition With Gradient-Based Representations. 469-473 - Yuanyuan Liu, Ziyang Liu, Fang Fang, Zhanghua Fu, Zhanlong Chen:
Hierarchical Domain-Consistent Network For Cross-Domain Object Detection. 474-478 - Chun-Hsien Lin, Bing-Fei Wu:
Domain Adapting Ability Of Self-Supervised Learning For Face Recognition. 479-483 - Won Park, Nan Liu, Qi Alfred Chen, Z. Morley Mao:
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models. 484-488 - Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda:
Image Enhanced Rotation Prediction for Self-Supervised Learning. 489-493 - Cheng Yu, Youze Xue, Jiansheng Chen, Yu Wang, Huimin Ma:
Enhancing Adversarial Robustness For Image Classification By Regularizing Class Level Feature Distribution. 494-498 - Wenjing Wang, Lilang Lin, Zejia Fan, Jiaying Liu:
Semi-Supervised Learning for Mars Imagery Classification. 499-503 - Jiawei Ma, Xiaoyu Tao, Jianxing Ma, Xiaopeng Hong, Yihong Gong:
Class Incremental Learning for Video Action Classification. 504-508 - Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim:
Fine-Grained Multi-Class Object Counting. 509-513 - Shek Wai Chu, Chaoyi Zhang, Yang Song, Tom Weidong Cai:
Iterative Subnetwork With Linear Hierarchical Ordering for Human Pose Estimation. 514-518 - Muhammad Haris, Mathias Franzius, Ute Bauer-Wersing:
Unsupervised Fast Visual Localization and Mapping with Slow Features. 519-523 - Gozde Sahin, Laurent Itti:
Multi-Task Occlusion Learning for Real-Time Visual Object Tracking. 524-528 - Jinhyung Park, Yi-Chun Chen, Yu-Jhe Li, Kris Kitani:
Crack Detection and Refinement Via Deep Reinforcement Learning. 529-533 - Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo:
Weakly-Supervised Moment Retrieval Network for Video Corpus Moment Retrieval. 534-538 - Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen:
Progressive Neural Image Compression With Nested Quantization And Latent Ordering. 539-543 - Peixiao Zheng, Xin Guo, Lin Qi:
Edge-Labeling Based Directed Gated Graph Network for Few-Shot Learning. 544-548 - Mengjiong Bai, Roland Goecke, Damith C. Herath:
Micro-Expression Recognition Based On Video Motion Magnification And Pre-Trained Neural Network. 549-553 - Lanqing Guo, Renjie Wan, Guan-Ming Su, Alex C. Kot, Bihan Wen:
Multi-Scale Feature Guided Low-Light Image Enhancement. 554-558 - Tianyu Chen, Guoqiang Xiao, Xiaoqin Tang, Xianfeng Han, Wenzhuo Ma, Xinye Gou:
Cascade Attention Blend Residual Network For Single Image Super-Resolution. 559-563 - Gang Hu, Conner Saeli:
Scale-Invariant Salient Edge Detection. 564-568 - Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan:
Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution. 569-573