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ORCIDWACV 2020: Snowmass Village, CO, USA - Workshops
- IEEE Winter Applications of Computer Vision Workshops, WACV Workshops 2020, Snowmass Village, CO, USA, March 1-5, 2020. IEEE 2020, ISBN 978-1-7281-7162-3
- Joakim Bruslund Haurum
, Anastasija Karpova, Malte Pedersen, Stefan Hein Bengtson, Thomas B. Moeslund:
Re-Identification of Zebrafish using Metric Learning. 1-11 - Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh:
Learning Landmark Guided Embeddings for Animal Re-identification. 12-19 - Yifan Sun, Noboru Murata:
CAFM: A 3D Morphable Model for Animals. 20-24 - Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen:
Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification. 25-34 - Frederic Tausch, Simon Stock, Julian Fricke, Olaf Klein:
Bumblebee Re-Identification Dataset. 35-37 - William Andrew, Colin Greatwood, Tilo Burghardt:
Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract). 38-43 - Stefan Schneider, Graham W. Taylor, Stefan C. Kremer:
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. 44-52 - Chin-Yuan Yeh, Hsi-Wen Chen, Shang-Lun Tsai, Shang-De Wang:
Disrupting Image-Translation-Based DeepFake Algorithms with Adversarial Attacks. 53-62 - Akash Kumar, Arnav Bhavsar, Rajesh Verma:
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. 63-70 - Adam Novozámský, Babak Mahdian, Stanislav Saic:
IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images. 71-80 - Vítor Albiero, Krishnapriya K. S, Kushal Vangara, Kai Zhang, Michael C. King, Kevin W. Bowyer:
Analysis of Gender Inequality In Face Recognition Accuracy. 81-89 - Philip Smith, Karl Ricanek:
Mitigating Algorithmic Bias: Evolving an Augmentation Policy that is Non-Biasing. 90-97 - Martins Bruveris, Pouria Mortazavian, Jochem Gietema, Mohan Mahadevan:
Reducing Geographic Performance Differentials for Face Recognition. 98-106 - Joshua Gleason, Steven Schwarcz, Rajeev Ranjan, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers. 107-116 - Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Real-time Detection of Activities in Untrimmed Videos. 117-125 - Wenhe Liu, Guoliang Kang, Po-Yao Huang, Xiaojun Chang, Lijun Yu, Yijun Qian, Junwei Liang, Liangke Gui, Jing Wen, Peng Chen, Alexander G. Hauptmann:
Argus: Efficient Activity Detection System for Extended Video Analysis. 126-133 - Felix Hertlein, David Münch, Michael Arens:
Context Sensitivity of Spatio-Temporal Activity Detection using Hierarchical Deep Neural Networks in Extended Videos. 134-142 - Yijun Qian, Lijun Yu, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann:
Adaptive Feature Aggregation for Video Object Detection. 143-147 - Yooyoung Lee, Jon Fiscus, Afzal Godil, Andrew Delgado, Jim Golden, Lukas L. Diduch, Maxime Hubert:
Summary of the 2019 Activity Detection in Extended Videos Prize Challenge. 148-154 - Bharath Ramesh, Hong Yang:
Boosted Kernelized Correlation Filters for Event-based Face Detection. 155-159 - Rico Thomanek, Christian Roschke, Frank Zimmer, Tony Rolletschke, Robert Manthey, Matthias Vodel, Benny Platte, Manuel Heinzig, Maximilian Eibl, Claudia Hösel, Richard Vogel, Marc Ritter:
Real-Time Activity Detection of Human Movement in Videos via Smartphone Based on Synthetic Training Data. 160-164 - Bharath Raj N., Anand Subramanian, Kashyap Ravichandran, N. Venkateswaran:
Exploring Techniques to Improve Activity Recognition using Human Pose Skeletons. 165-172 - Youshan Zhang, Brian D. Davison:
Impact of ImageNet Model Selection on Domain Adaptation. 173-182 - SeulGi Hong, Donghyun Kim, Min-Kook Choi:
Memory-Efficient Models for Scene Text Recognition via Neural Architecture Search. 183-191
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