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18th ICCV Workshops 2021: Montreal, QC, Canada
- IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021. IEEE 2021, ISBN 978-1-6654-0191-3
Adversarial Robustness in the Real World (AROW)
- Artur Jordão, Hélio Pedrini:
On the Effect of Pruning on Adversarial Robustness. 1-11 - Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi
:
Trojan Signatures in DNN Weights. 12-20 - Kanjar De, Marius Pedersen:
Impact of Colour on Robustness of Deep Neural Networks. 21-30 - Salah Ghamizi, Maxime Cordy, Mike Papadakis
, Yves Le Traon
:
Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. 31-40 - Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? 41-50 - Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen:
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization. 51-60 - Guillaume Jeanneret, Juan C. Pérez, Pablo Arbeláez
:
A Hierarchical Assessment of Adversarial Severity. 61-70 - Xiangyu Qu, Stanley H. Chan:
Detecting and Segmenting Adversarial Graphics Patterns from Images. 71-80 - Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem
, Pablo Arbeláez
:
Enhancing Adversarial Robustness via Test-time Transformation Ensembling. 81-91 - Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan
:
Optical Adversarial Attack. 92-101 - Cheng Zhang, Pan Gao:
Countering Adversarial Examples: Combining Input Transformation and Noisy Training. 102-111 - Max Lennon, Nathan Drenkow, Philippe Burlina:
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? 112-121 - Adith Boloor
, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik:
Can Optical Trojans Assist Adversarial Perturbations? 122-131 - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. 132-141 - Yuzhen Ding, Nupur Thakur, Baoxin Li:
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. 142-151 - Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani
, Vineeth N. Balasubramanian:
On Adversarial Robustness: A Neural Architecture Search perspective. 152-161
Robust Subspace Learning and Applications in Computer Vision (RSLCV)
- Carl Olsson, Daniele Gerosa, Marcus Carlsson:
Relaxations for Non-Separable Cardinality/Rank Penalties. 162-171 - Zhengqin Xu, Huasong Xing, Shun Fang, Shiqian Wu, Shoulie Xie:
Double-Weighted Low-Rank Matrix Recovery Based on Rank Estimation. 172-180 - Maryam Sultana, Arif Mahmood, Thierry Bouwmans
, Muhammad Haris Khan, Soon Ki Jung:
Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods. 181-188 - HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell:
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition *. 189-197 - Manish Sharma
, Panos P. Markopoulos, Eli Saber, M. Salman Asif, Ashley Prater-Bennette:
Convolutional Auto-Encoder with Tensor-Train Factorization. 198-206 - Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. 207-214 - Islam I. Osman, Mohamed H. Abdelpakey, Mohamed S. Shehata
:
TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground Separation. 215-224 - Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans
:
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. 225-233
Distributed Smart Cameras (DSC)
- Nicola Garau
, Giulia Martinelli, Piotr Bródka, Niccoló Bisagno
, Nicola Conci
:
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets. 234-242 - Mateusz Majcher
, Bogdan Kwolek
:
Deep Quaternion Pose Proposals for 6D Object Pose Tracking. 243-251 - Yanting Zhang, Qingxiang Wang:
Pedestrian Tracking through Coordinated Mining of Multiple Moving Cameras. 252-261 - Abbas Omidi, Amirhossein Heydarian
, Aida Mohammadshahi, Behnam Asghari Beirami
, Farzan Haddadi:
An Embedded Deep Learning-based Package for Traffic Law Enforcement. 262-271 - Rita Pucci, Christian Micheloni, Niki Martinel
:
Self-Attention Agreement Among Capsules. 272-280 - Asad Munir, Chengjin Lyu
, Bart Goossens
, Wilfried Philips, Christian Micheloni:
Resolution based Feature Distillation for Cross Resolution Person Re-Identification. 281-289 - Leonardo Taccari:
Domain-based semi-supervised learning: exploiting label invariance in unlabeled data from distributed cameras. 290-297 - Vaibhav Bansal, Gian Luca Foresti, Niki Martinel
:
Where Did I See It? Object Instance Re-Identification with Attention. 298-306 - Alessandro Avi, Matteo Zuccatti, Matteo Nardello
, Nicola Conci
, Davide Brunelli:
Infrared dataset generation for people detection through superimposition of different camera sensors. 307-316
Neural Architectures: Past, Present and Future (NeurArch)
- Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li:
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search. 317-325 - Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis:
CONet: Channel Optimization for Convolutional Neural Networks. 326-335 - Borui Jiang, Yadong Mu:
Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference. 336-344 - Niv Vosco, Alon Shenkler, Mark Grobman:
Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context. 345-357 - Fan Jia, Wing Hong Wong, Tieyong Zeng:
DDUNet: Dense Dense U-Net with Applications in Image Denoising. 354-364 - Biluo Shen, Anqi Xiao, Jie Tian, Zhenhua Hu:
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network. 365-372 - Pengfei Hou, Ying Jin, Yukang Chen:
Single-DARTS: Towards Stable Architecture Search. 373-382 - Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Anthony D. Rhodes, Lama Nachman, Narayan Sundararajan:
Convolutional Filter Approximation Using Fractional Calculus. 383-392 - Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Graph-based Neural Architecture Search with Operation Embeddings. 393-402 - Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. 403-412 - Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu:
Leveraging Batch Normalization for Vision Transformers. 413-422
AI-Enabled Medical Image Analysis and COVID-19 Diagnosis (MIACOV19D)
- Francesco Rundo, Angelo Genovese
, Roberto Leotta, Fabio Scotti
, Vincenzo Piuri, Sebastiano Battiato:
Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-based COVID-19 Assessment. 423-432 - Adrit Rao
, Jongchan Park, Oliver O. Aalami:
The Value of Visual Attention for COVID-19 Classification in CT Scans. 433-438 - Weijun Tan, Jingfeng Liu:
A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images. 439-445 - Debora Gil, Sonia Baeza, Carles Sánchez
, Guillermo Torres, Ignasi García-Olivé, Gloria Moragas, Jordi Deportós, Maite Salcedo, Antoni Rosell:
Intelligent Radiomic Analysis of Q-SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients. 446-453 - Junlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang, Fei Shan
, Weiya Shi:
CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis. 454-461 - Alyaa Amer, Xujiong Ye, Faraz Janan:
Residual Dilated U-net For The Segmentation Of COVID-19 Infection From CT Images. 462-470 - Guan-Lin Chen, Chih-Chung Hsu, Mei-Hsuan Wu:
Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification. 471-479 - George Ioannou, Tasos Papagiannis, Thanos Tagaris, Georgios Alexandridis, Andreas Stafylopatis:
Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images. 480-486 - Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak
, Dorin Comaniciu, Eli Gibson:
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. 487-495 - Mohammad Nayeem Teli:
TeliNet: Classifying CT scan images for COVID-19 diagnosis. 496-502 - Talha Anwar:
COVID19 Diagnosis using AutoML from 3D CT scans. 503-507 - Shuang Liang, Weicun Zhang, Yu Gu:
A hybrid and fast deep learning framework for Covid-19 detection via 3D Chest CT Images. 508-512 - Lei Zhang, Yan Wen
:
A transformer-based framework for automatic COVID19 diagnosis in chest CTs. 513-518 - Meghna P. Ayyar
, Jenny Benois-Pineau, Akka Zemmari:
A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray Images. 519-528 - Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Elena Breaban
:
Evaluating volumetric and slice-based approaches for COVID-19 detection in chest CTs. 529-536 - Dimitrios Kollias
, Anastasios Arsenos, Levon Soukissian, Stefanos D. Kollias:
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis. 537-544
Computational Challenges in Digital Pathology (CDPath)
- Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Guided Representation Learning for the Classification of Hematopoietic Cells. 545-551 - Adam J. Shephard
, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood
, Syed Ali Khurram, Nasir M. Rajpoot:
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. 552-561 - Chetan L. Srinidhi, Anne L. Martel:
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. 562-571 - Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang:
Probeable DARTS with Application to Computational Pathology. 572-581 - Luisa Theelke
, Frauke Wilm, Christian Marzahl
, Christof A. Bertram, Robert Klopfleisch
, Andreas Maier, Marc Aubreville, Katharina Breininger
:
Iterative Cross-Scanner Registration for Whole Slide Images. 582-590 - Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah:
Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling. 591-600 - Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. 601-610 - Philippe Weitz
, Yinxi Wang
, Johan Hartman, Mattias Rantalainen
:
An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives. 611-619 - Jessica Deuschel, Daniel Firmbach, Carol I. Geppert, Markus Eckstein
, Arndt Hartmann, Volker Bruns, Petr Kuritcyn, Jakob Dexl
, David Hartmann, Dominik Perrin, Thomas Wittenberg
, Michaela Benz
:
Multi-Prototype Few-shot Learning in Histopathology. 620-628 - Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra Vikas Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael J. Bonham, Julianna D. Ianni:
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth *. 629-638 - Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis
, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. 639-647 - Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot:
A QuadTree Image Representation for Computational Pathology. 648-656 - Tomé Albuquerque
, Ana Moreira, Jaime S. Cardoso:
Deep Ordinal Focus Assessment for Whole Slide Images. 657-663 - Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
:
ALBRT: Cellular Composition Prediction in Routine Histology Images. 664-673 - Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. 674-683 - Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir
, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas
, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot:
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. 684-693 - Yuang Zhu, Zhao Chen, Yuxin Zheng, Qinghua Zhang, Xuan Wang:
Real-Time Cell Counting in Unlabeled Microscopy Images. 694-703
Learning To Understand Aerial Images (LUAI)
- Nicholas Kashani Motlagh, Aswathnarayan Radhakrishnan, Jim Davis, Roman Ilin:
A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions. 704-712 - Huiming Sun, Yuewei Lin, Qin Zou
, Shaoyue Song, Jianwu Fang, Hongkai Yu:
Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments. 713-720 - Stefan Wolf
, Jonas Meier, Lars Sommer, Jürgen Beyerer:
Double Head Predictor based Few-Shot Object Detection for Aerial Imagery. 721-731 - Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek
, Devis Tuia:
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. 732-741 - Weitao Chen
, Zhibin Wang, Hao Li:
Get better 1 pixel PCK: ladder scales correspondence flow networks for remote sensing image matching in higher resolution. 742-751 - Nouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu:
Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image. 752-761 - Gui-Song Xia
, Jian Ding, Ming Qian
, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang
, Shengyang Li, Serge J. Belongie
, Jiebo Luo
, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan
, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao
, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. 762-768
Low-Power Computer Vision (LPCV)
- Amin Banitalebi-Dehkordi:
Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for Training Compact Models Using Unlabeled Data. 769-778 - Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yung-Yu Chuang, Youn-Long Lin:
Exploring the power of lightweight YOLOv4. 779-788 - Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu:
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search. 789-797 - Ivan Lazarevich, Alexander Kozlov, Nikita Malinin:
Post-training deep neural network pruning via layer-wise calibration. 798-805
Multi-Modal Video Reasoning and Analyzing (MMVRA)
- Haoran Peng
, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu
, Rongchang Li, Mang Ye
, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu, Tao Lin:
The Multi-Modal Video Reasoning and Analyzing Competition. 806-813
Chalearn Face Anti-Spoofing (ChaLearn_FAS)
- Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su
, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera
, Hugo Jair Escalante, Zhen Lei, Guodong Guo:
3D High-Fidelity Mask Face Presentation Attack Detection Challenge. 814-823 - Xiang Xu, Yuanjun Xiong, Wei Xia:
On Improving Temporal Consistency for Online Face Liveness Detection System. 824-833 - Shen Chen, Taiping Yao, Ke-Yue Zhang, Yang Chen, Ke Sun, Shouhong Ding, Jilin Li, Feiyue Huang, Rongrong Ji:
A Dual-stream Framework for 3D Mask Face Presentation Attack Detection. 834-841 - Samuel Huang, Wen-Huang Cheng, Robert Cheng:
Single Patch Based 3D High-Fidelity Mask Face Anti-Spoofing. 842-845 - Oleg Grinchuk, Aleksandr Parkin, Evgenija Glazistova:
3D mask presentation attack detection via high resolution face parts. 846-853
When Graph Signal Processing Meets Computer Vision (GSP-CV)
- Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang
:
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. 854-864 - Naina Dhingra, George Chogovadze, Andreas M. Kunz
:
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network. 865-875 - Anindya Mondal
, Shashant R, Jhony H. Giraldo, Thierry Bouwmans
, Ananda S. Chowdhury:
Moving Object Detection for Event-based Vision using Graph Spectral Clustering. 876-884 - Jin Wang, Bo Jiang:
Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs. 885-892 - Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu:
Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. 893-903 - Kevin Potter, Steven Sleder, Matthew Smith, Shehan Perera, Alper Yilmaz, John Tencer:
Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks. 904-912
3D Object Detection From Images (3DODI)
- Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin:
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection. 913-922 - Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. 923-934 - Frederik Hagelskjær
, Anders Glent Buch:
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization. 935-944
Embedded and Real-World Computer Vision in Autonomous Driving (ERCVAD)
- Florentin Poucin, Andrea Kraus, Martin Simon:
Boosting Instance Segmentation with Synthetic Data: A study to overcome the limits of real world data sets. 945-953 - Julia Hornauer, Lazaros Nalpantidis
, Vasileios Belagiannis:
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware. 954-962 - Aditya Rajagopal, Christos-Savvas Bouganis:
perf4sight: A toolflow to model CNN training performance on Edge GPUs. 963-971 - Sven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider:
ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study. 972-978 - Matthias Reuse, Martin Simon, Bernhard Sick:
About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving. 979-987 - Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel:
Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes. 988-996 - Falk Heuer, Sven Mantowsky, Syed Saqib Bukhari, Georg Schneider:
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach. 997-1005 - Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila:
Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA. 1006-1014 - Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller:
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. 1015-1022 - Daniel Bogdoll
, Jasmin Breitenstein
, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt
, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. 1023-1028 - Deepthi Sreenivasaiah, Johannes S. Otterbach, Thomas Wollmann:
MEAL: Manifold Embedding-based Active Learning. 1029-1037
Visual Inductive Priors for Data-Efficient Deep Learning (VIPriors)
- Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. 1038-1046 - António Farinhas, André F. T. Martins
, Pedro M. Q. Aguiar
:
Multimodal Continuous Visual Attention Mechanisms. 1047-1056 - Donghyun Kim
, Kuniaki Saito, Samarth Mishra, Stan Sc