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Biagio Brattoli
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2020 – today
- 2024
- [i10]Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim:
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR abs/2407.20643 (2024) - 2023
- [c9]Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira
:
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CVPR 2023: 23902-23912 - [i9]Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CoRR abs/2303.13110 (2023) - 2022
- [j2]Timo Milbich
Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 416-427 (2022) - [c8]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops 2022: 4131-4140 - [i8]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CoRR abs/2205.11710 (2022) - 2021
- [b1]Biagio Brattoli:
Visual Similarity Using Limited Supervision. University of Heidelberg, Germany, 2021 - [j1]Biagio Brattoli, Uta Büchler
Unsupervised behaviour analysis and magnification (uBAM) using deep learning. Nat. Mach. Intell. 3(6): 495-506 (2021) - [c7]Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. ICCV 2021: 13557-13567 - [i7]Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. CoRR abs/2104.11746 (2021) - 2020
- [c6]Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR 2020: 4612-4622 - [i6]Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR abs/2003.01455 (2020) - [i5]Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. CoRR abs/2004.05582 (2020) - [i4]Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer:
uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. CoRR abs/2012.09237 (2020)
2010 – 2019
- 2019
- [c5]Biagio Brattoli, Karsten Roth, Björn Ommer:
MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV 2019: 7999-8008 - [i3]Karsten Roth, Biagio Brattoli, Björn Ommer:
MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR abs/1909.11574 (2019) - 2018
- [c4]Oliver Blum, Biagio Brattoli, Björn Ommer:
X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. GCPR 2018: 199-214 - [c3]Nawid Sayed, Biagio Brattoli, Björn Ommer:
Cross and Learn: Cross-Modal Self-supervision. GCPR 2018: 228-243 - [c2]Uta Büchler, Biagio Brattoli, Björn Ommer:
Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. ECCV (15) 2018: 797-814 - [i2]Uta Büchler, Biagio Brattoli, Björn Ommer:
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. CoRR abs/1807.11293 (2018) - [i1]Nawid Sayed, Biagio Brattoli, Björn Ommer:
Cross and Learn: Cross-Modal Self-Supervision. CoRR abs/1811.03879 (2018) - 2017
- [c1]Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer:
LSTM Self-Supervision for Detailed Behavior Analysis. CVPR 2017: 3747-3756
Coauthor Index
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last updated on 2024-08-25 19:09 CEST by the dblp team
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