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ORCID17th ECCV Workshops 2022: Tel Aviv, Israel - Part VII
- Leonid Karlinsky, Tomer Michaeli
, Ko Nishino:
Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13807, Springer 2023, ISBN 978-3-031-25081-1
W28 - Computational Aspects of Deep Learning
- Muhammad Maaz, Abdelrahman M. Shaker, Hisham Cholakkal, Salman H. Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. 3-20 - Lukas Hedegaard, Alexandros Iosifidis:
Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. 21-34 - Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman:
Hydra Attention: Efficient Attention with Many Heads. 35-49 - Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. 50-66 - Nurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, Tomer Michaeli:
Power Awareness in Low Precision Neural Networks. 67-83 - Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. 84-98 - Soyeong Kim, Do-Yeon Kim, Jaekyun Moon:
Deep Neural Network Compression for Image Inpainting. 99-114 - Alexander Finkelstein, Ella Fuchs, Idan Tal, Mark Grobman, Niv Vosco, Eldad Meller:
QFT: Post-training Quantization via Fast Joint Finetuning of All Degrees of Freedom. 115-129 - Ruth Akiva-Hochman, Shahaf E. Finder, Javier S. Turek, Eran Treister:
Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks. 130-143
W29 - Computer Vision for Civil and Infrastructure Engineering
- Xinyu Chen, Yantao Yu:
Image Illumination Enhancement for Construction Worker Pose Estimation in Low-light Conditions. 147-162 - Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To:
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. 163-178 - Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati:
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks. 179-195 - Zhiqi Hu, Ioannis K. Brilakis:
PriSeg: IFC-Supported Primitive Instance Geometry Segmentation with Unsupervised Clustering. 196-211 - Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. 212-227 - Ruoxin Xiong, Yuansheng Zhu, Yanyu Wang, Pengkun Liu, Pingbo Tang:
Facilitating Construction Scene Understanding Knowledge Sharing and Reuse via Lifelong Site Object Detection. 228-243 - Klára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi:
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. 244-257 - Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson:
A Hyperspectral and RGB Dataset for Building Façade Segmentation. 258-267 - Tanguy Ophoff, Kristof Van Beeck, Toon Goedemé:
Improving Object Detection in VHR Aerial Orthomosaics. 268-282 - Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. 283-298 - Kushagra Srivastava, Dhruv Patel, Aditya Kumar Jha, Mohhit Kumar Jha, Jaskirat Singh, Ravi Kiran Sarvadevabhatla, Pradeep Kumar Ramancharla, Harikumar Kandath, K. Madhava Krishna:
UAV-Based Visual Remote Sensing for Automated Building Inspection. 299-316 - Maciej Trzeciak, Kacper Pluta, Yasmin Fathy, Lucio Alcalde, Stanley Chee, Antony Bromley, Ioannis K. Brilakis, Pierre Alliez:
ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring. 317-331 - Xuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti:
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. 332-348 - Hairong Luo, Ge Gao, Han Huang, Ziyi Ke, Cheng Peng, Ming Gu:
A Geometric-Relational Deep Learning Framework for BIM Object Classification. 349-365 - Wei Lun Tsai, Jacob J. Lin, Shang-Hsien Hsieh:
Generating Construction Safety Observations via CLIP-Based Image-Language Embedding. 366-381
W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID-19
- Leon Weninger, Sandro Romanzetti, Julia Ebert, Kathrin Reetz, Dorit Merhof:
Harmonization of Diffusion MRI Data Obtained with Multiple Head Coils Using Hybrid CNNs. 385-396 - Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati:
CCRL: Contrastive Cell Representation Learning. 397-407 - Mélanie Lubrano, Tristan Lazard, Guillaume Balezo, Yaëlle Bellahsen-Harrar, Cécile Badoual, Sylvain Berlemont, Thomas Walter:
Automatic Grading of Cervical Biopsies by Combining Full and Self-supervision. 408-423 - Ziyang Wang, Tianze Li, Jian-Qing Zheng, Baoru Huang:
When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation. 424-441 - Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Jason B. Lee, Michael J. Bonham, Julianna D. Ianni:
Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression. 442-456 - Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu:
Explainable Model for Localization of Spiculation in Lung Nodules. 457-471 - András Kalapos, Bálint Gyires-Tóth:
Self-supervised Pretraining for 2D Medical Image Segmentation. 472-484 - Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng:
CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors. 485-499 - Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart:
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings. 500-516 - Weijun Tan, Qi Yao, Jingfeng Liu:
Two-Stage COVID19 Classification Using BERT Features. 517-525 - Lilang Zheng, Jiaxuan Fang, Xiaorun Tang, Hanzhang Li, Jiaxin Fan, Tianyi Wang, Rui Zhou, Zhaoyan Yan:
PVT-COV19D: COVID-19 Detection Through Medical Image Classification Based on Pyramid Vision Transformer. 526-536 - Junlin Hou, Jilan Xu, Nan Zhang, Yuejie Zhang, Xiaobo Zhang, Rui Feng:
Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification. 537-551 - Cholmin Kang, Chunggi Lee, Heon Song, Minuk Ma, Sérgio Pereira:
Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection. 552-565 - Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal:
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics. 566-576 - Romain Mormont, Mehdi Testouri, Raphaël Marée, Pierre Geurts:
Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. 577-592 - Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. 593-604 - Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. 605-620 - Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai:
Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild. 621-634 - Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot:
Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images. 635-647 - Qian Wang, Zhao Chen:
A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction. 648-662 - Robert Turnbull:
Using a 3D ResNet for Detecting the Presence and Severity of COVID-19 from CT Scans. 663-676 - Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias:
AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging. 677-690 - Natalia Salpea, Paraskevi K. Tzouveli, Dimitrios Kollias:
Medical Image Segmentation: A Review of Modern Architectures. 691-708 - Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes:
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. 709-721 - Dwarikanath Mahapatra, Mauricio Reyes:
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification. 722-734 - Dwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon:
Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. 735-748
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