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ORCID17th ECCV Workshops 2022: Tel Aviv, Israel - Part IV
- Leonid Karlinsky, Tomer Michaeli
, Ko Nishino:
Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13804, Springer 2023, ISBN 978-3-031-25068-2
W09 - Self-supervised Learning: What Is Next?
- Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas:
Towards Self-Supervised and Weight-preserving Neural Architecture Search. 3-19 - Yuan Liu, Jiacheng Chen, Hao Wu:
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning. 20-38 - Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel:
On the Effectiveness of ViT Features as Local Semantic Descriptors. 39-55 - Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen:
Anomaly Detection Requires Better Representations. 56-68 - Enea Duka, Anna Kukleva, Bernt Schiele:
Leveraging Self-Supervised Training for Unintentional Action Recognition. 69-85 - Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi:
A Study on Self-Supervised Object Detection Pretraining. 86-99 - Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak:
Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data. 100-104
W10 - Self-supervised Learning for Next-Generation Industry-Level Autonomous Driving
- Yakov Miron, Yuval Goldfracht, Dotan Di Castro:
Towards Autonomous Grading in the Real World. 107-117 - Xiang Xiang:
Bootstrapping Autonomous Lane Changes with Self-supervised Augmented Runs. 118-130
W11 - Skin Image Analysis
- Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila:
Artifact-Based Domain Generalization of Skin Lesion Models. 133-149 - Levy G. Chaves, Alceu Bissoto, Eduardo Valle, Sandra Avila:
An Evaluation of Self-supervised Pre-training for Skin-Lesion Analysis. 150-166 - Joanna Jaworek-Korjakowska, Anna Wójcicka, Dariusz Kucharski, Andrzej Brodzicki, Connah Kendrick, Bill Cassidy, Moi Hoon Yap:
Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images. 167-184 - Siyi Du, Ben Hers, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. 185-202 - Arezou Pakzad, Kumar Abhishek, Ghassan Hamarneh:
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. 203-219
W12 - Cross-Modal Human-Robot Interaction
- Youyuan Zhang, Jiuniu Wang, Hao Wu, Wenjia Xu:
Distinctive Image Captioning via CLIP Guided Group Optimization. 223-238
W13 - Text in Everything
- Ali Furkan Biten, Rubèn Tito, Lluís Gómez, Ernest Valveny, Dimosthenis Karatzas:
OCR-IDL: OCR Annotations for Industry Document Library Dataset. 241-252 - Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu:
Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels. 253-262 - Ron Slossberg, Oron Anschel, Amir Markovitz, Ron Litman, Aviad Aberdam, Shahar Tsiper, Shai Mazor, Jon Wu, R. Manmatha:
On Calibration of Scene-Text Recognition Models. 263-279 - Brian L. Davis, Bryan S. Morse, Brian L. Price, Chris Tensmeyer, Curtis Wigington, Vlad I. Morariu:
End-to-End Document Recognition and Understanding with Dessurt. 280-296 - Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner:
Task Grouping for Multilingual Text Recognition. 297-313 - Ning Ding, Liangrui Peng, Changsong Liu, Yuqi Zhang, Ruixue Zhang, Jie Li:
Incorporating Self-attention Mechanism and Multi-task Learning into Scene Text Detection. 314-328 - Andrea Gemelli, Sanket Biswas, Enrico Civitelli, Josep Lladós, Simone Marinai:
Doc2Graph: A Task Agnostic Document Understanding Framework Based on Graph Neural Networks. 329-344 - Emanuele Vivoli, Ali Furkan Biten, Andrés Mafla, Dimosthenis Karatzas, Lluís Gómez:
MUST-VQA: MUltilingual Scene-Text VQA. 345-358 - Sergi Garcia-Bordils, Andrés Mafla, Ali Furkan Biten, Oren Nuriel, Aviad Aberdam, Shai Mazor, Ron Litman, Dimosthenis Karatzas:
Out-of-Vocabulary Challenge Report. 359-375
W14 - BioImage Computing
- Benjamin Salmon, Alexander Krull:
Towards Structured Noise Models for Unsupervised Denoising. 379-394 - Umar Masud, Ethan Cohen, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio:
Comparison of Semi-supervised Learning Methods for High Content Screening Quality Control. 395-405 - Nils Eckstein, Habib Bukhari, Alexander S. Bates, Gregory S. X. E. Jefferis, Jan Funke:
Discriminative Attribution from Paired Images. 406-422 - Thomas Bonte, Maxence Philbert, Emeline Coleno, Edouard Bertrand, Arthur Imbert, Thomas Walter:
Learning with Minimal Effort: Leveraging in Silico Labeling for Cell and Nucleus Segmentation. 423-436 - Ankit Gupta, Ida-Maria Sintorn:
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks. 437-453 - Peter Bajcsy, Michael Majurski, Thomas E. Cleveland IV, Manuel J. Carrasco, Walid Keyrouz:
Characterization of AI Model Configurations for Model Reuse. 454-469 - Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphaël Marée:
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. 470-486 - Arthur Imbert, Florian Müller, Thomas Walter:
PointFISH: Learning Point Cloud Representations for RNA Localization Patterns. 487-502 - Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag:
N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. 503-518
W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications
- Jongha Kim, Jinheon Baek, Sung Ju Hwang:
Object Detection in Aerial Images with Uncertainty-Aware Graph Network. 521-536
W16 - AI for Creative Video Editing and Understanding
- Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang:
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. 539-556 - Haodong Duan, Yue Zhao, Kai Chen, Yuanjun Xiong, Dahua Lin:
Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks. 557-575 - Chen Zhao, Merey Ramazanova, Mengmeng Xu, Bernard Ghanem:
SegTAD: Precise Temporal Action Detection via Semantic Segmentation. 576-593 - Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim:
Text-Driven Stylization of Video Objects. 594-609 - Chang Liu, Armin Shmilovici, Mark Last:
MND: A New Dataset and Benchmark of Movie Scenes Classified by Their Narrative Function. 610-626 - Damianos Galanopoulos, Vasileios Mezaris:
Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval. 627-643 - Marc Górriz Blanch, Noel E. O'Connor, Marta Mrak:
Scene-Adaptive Temporal Stabilisation for Video Colourisation Using Deep Video Priors. 644-659 - Bartolomeo Vacchetti, Tania Cerquitelli:
Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences. 660-675
W17 - Visual Inductive Priors for Data-Efficient Deep Learning
- Sameer Ambekar, Matteo Tafuro, Ankit Ankit, Diego van der Mast, Mark Alence, Christos Athanasiadis:
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cGANs. 679-693 - Piyush Bagad, Floor Eijkelboom, Mark Fokkema, Danilo de Goede, Paul Hilders, Miltiadis Kofinas:
C-3PO: Towards Rotation Equivariant Feature Detection and Description. 694-705 - Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim:
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. 706-720 - Shunsuke Takao:
Zero-Shot Image Enhancement with Renovated Laplacian Pyramid. 721-737 - Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Lei Zhang:
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. 738-755 - Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim:
Diversified Dynamic Routing for Vision Tasks. 756-772
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