Abstract is missing.
- EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsMuhammad Maaz 0001, Abdelrahman Shaker, Hisham Cholakkal, Salman H. Khan 0001, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan. 3-20 [doi]
- Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorchLukas Hedegaard, Alexandros Iosifidis. 21-34 [doi]
- Hydra Attention: Efficient Attention with Many HeadsDaniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman. 35-49 [doi]
- BiTAT: Neural Network Binarization with Task-Dependent Aggregated TransformationGeon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang 0005, Sung Ju Hwang, Yonina C. Eldar. 50-66 [doi]
- Power Awareness in Low Precision Neural NetworksNurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, Tomer Michaeli. 67-83 [doi]
- Augmenting Legacy Networks for Flexible InferenceJason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Stephen W. Keckler. 84-98 [doi]
- Deep Neural Network Compression for Image InpaintingSoyeong Kim, Do Yeon Kim, Jaekyun Moon. 99-114 [doi]
- QFT: Post-training Quantization via Fast Joint Finetuning of All Degrees of FreedomAlexander Finkelstein, Ella Fuchs, Idan Tal, Mark Grobman, Niv Vosco, Eldad Meller. 115-129 [doi]
- Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural NetworksRuth Akiva-Hochman, Shahaf E. Finder, Javier S. Turek, Eran Treister. 130-143 [doi]
- Image Illumination Enhancement for Construction Worker Pose Estimation in Low-light ConditionsXinyu Chen, Yantao Yu. 147-162 [doi]
- Towards an Error-free Deep Occupancy Detector for Smart Camera Parking SystemTung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai Thien To. 163-178 [doi]
- CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and FrameworksShreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati. 179-195 [doi]
- PriSeg: IFC-Supported Primitive Instance Geometry Segmentation with Unsupervised ClusteringZhiqi Hu, Ioannis K. Brilakis. 196-211 [doi]
- Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material ClassificationPrakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki. 212-227 [doi]
- Facilitating Construction Scene Understanding Knowledge Sharing and Reuse via Lifelong Site Object DetectionRuoxin Xiong, Yuansheng Zhu, Yanyu Wang, Pengkun Liu, Pingbo Tang. 228-243 [doi]
- Model-Assisted Labeling via Explainability for Visual Inspection of Civil InfrastructuresKlára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi. 244-257 [doi]
- A Hyperspectral and RGB Dataset for Building Façade SegmentationNariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson. 258-267 [doi]
- Improving Object Detection in VHR Aerial OrthomosaicsTanguy Ophoff, Kristof Van Beeck, Toon Goedemé. 268-282 [doi]
- Active Learning for Imbalanced Civil Infrastructure DataThomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi. 283-298 [doi]
- UAV-Based Visual Remote Sensing for Automated Building InspectionKushagra Srivastava, Dhruv Patel, Aditya Kumar Jha, Mohhit Kumar Jha, Jaskirat Singh, Ravi Kiran Sarvadevabhatla, Pradeep Kumar Ramancharla, Harikumar Kandath, K. Madhava Krishna. 299-316 [doi]
- ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress MonitoringMaciej Trzeciak, Kacper Pluta, Yasmin Fathy, Lucio Alcalde, Stanley Chee, Antony Bromley, Ioannis K. Brilakis, Pierre Alliez. 317-331 [doi]
- NeuralSI: Structural Parameter Identification in Nonlinear Dynamical SystemsXuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti. 332-348 [doi]
- A Geometric-Relational Deep Learning Framework for BIM Object ClassificationHairong Luo, Ge Gao, Han Huang, Ziyi Ke, Cheng Peng, Ming Gu. 349-365 [doi]
- Generating Construction Safety Observations via CLIP-Based Image-Language EmbeddingWei-Lun Tsai, Jacob J. Lin, Shang-Hsien Hsieh. 366-381 [doi]
- Harmonization of Diffusion MRI Data Obtained with Multiple Head Coils Using Hybrid CNNsLeon Weninger, Sandro Romanzetti, Julia Ebert, Kathrin Reetz, Dorit Merhof. 385-396 [doi]
- CCRL: Contrastive Cell Representation LearningRamin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati. 397-407 [doi]
- Automatic Grading of Cervical Biopsies by Combining Full and Self-supervisionMélanie Lubrano, Tristan Lazard, Guillaume Balezo, Yaëlle Bellahsen-Harrar, Cécile Badoual, Sylvain Berlemont, Thomas Walter 0003. 408-423 [doi]
- When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic SegmentationZiyang Wang, Tianze Li, Jian-Qing Zheng, Baoru Huang. 424-441 [doi]
- Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance RegressionSean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Jason B. Lee, Michael J. Bonham, Julianna D. Ianni. 442-456 [doi]
- Explainable Model for Localization of Spiculation in Lung NodulesMirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu. 457-471 [doi]
- Self-supervised Pretraining for 2D Medical Image SegmentationAndrás Kalapos, Bálint Gyires-Tóth. 472-484 [doi]
- CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video PriorsJunlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng. 485-499 [doi]
- COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom PretrainingsDaniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart. 500-516 [doi]
- Two-Stage COVID19 Classification Using BERT FeaturesWeijun Tan, Qi Yao, Jingfeng Liu. 517-525 [doi]
- PVT-COV19D: COVID-19 Detection Through Medical Image Classification Based on Pyramid Vision TransformerLilang Zheng, Jiaxuan Fang, Xiaorun Tang, Hanzhang Li, Jiaxin Fan, Tianyi Wang, Rui Zhou, Zhaoyan Yan. 526-536 [doi]
- Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup ClassificationJunlin Hou, Jilan Xu, Nan Zhang, Yuejie Zhang, Xiaobo Zhang, Rui Feng. 537-551 [doi]
- Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell DetectionCholmin Kang, Chunggi Lee, Heon Song, Minuk Ma, Sérgio Pereira. 552-565 [doi]
- FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization StatisticsNilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal. 566-576 [doi]
- Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-trainingRomain Mormont, Mehdi Testouri, Raphaël Marée, Pierre Geurts. 577-592 [doi]
- CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scansFares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed. 593-604 [doi]
- Representation Learning with Information Theory to Detect COVID-19 and Its SeverityAbel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli. 605-620 [doi]
- Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the WildChih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai. 621-634 [doi]
- Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology ImagesMade Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot. 635-647 [doi]
- A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image ReconstructionQian Wang, Zhao Chen. 648-662 [doi]
- Using a 3D ResNet for Detecting the Presence and Severity of COVID-19 from CT ScansRobert Turnbull. 663-676 [doi]
- AI-MIA: COVID-19 Detection and Severity Analysis Through Medical ImagingDimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias. 677-690 [doi]
- Medical Image Segmentation: A Review of Modern ArchitecturesNatalia Salpea, Paraskevi K. Tzouveli, Dimitrios Kollias. 691-708 [doi]
- Medical Image Super Resolution by Preserving Interpretable and Disentangled FeaturesDwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes 0001. 709-721 [doi]
- Multi-label Attention Map Assisted Deep Feature Learning for Medical Image ClassificationDwarikanath Mahapatra, Mauricio Reyes 0001. 722-734 [doi]
- Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image ClassificationDwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon. 735-748 [doi]