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2020 – today
- 2024
[j3]Anurag Das
, Ricardo Gutierrez-Osuna:
Improving Mispronunciation Detection Using Speech Reconstruction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4420-4433 (2024)- [c19]Anurag Das, Xinting Hu, Li Jiang, Bernt Schiele:
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment. ECCV (54) 2024: 39-56 - [c18]Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen:
Improving 2D Feature Representations by 3D-Aware Fine-Tuning. ECCV (2) 2024: 57-74 - [i3]Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen:
Improving 2D Feature Representations by 3D-Aware Fine-Tuning. CoRR abs/2407.20229 (2024) - [i2]Anurag Das, Xinting Hu, Li Jiang, Bernt Schiele:
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment. CoRR abs/2407.21654 (2024) - 2023
- [c17]Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi:
Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. BHI 2023: 1-4 - [c16]Edmund Do, Anurag Das, Namino Glanz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi:
Modeling the effect of non-exercise activity on peak post-prandial glucose in diabetes. BSN 2023: 1-4 - [c15]Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele:
Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR 2023: 15434-15443 - [c14]Waris Quamer, Anurag Das, Ricardo Gutierrez-Osuna:
Decoupling Segmental and Prosodic Cues of Non-native Speech through Vector Quantization. INTERSPEECH 2023: 2083-2087 - [c13]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV 2023: 5967-5976 - 2022
- [j2]Samuel A. Ajila, Chung-Horng Lung, Anurag Das:
Analysis of error-based machine learning algorithms in network anomaly detection and categorization. Ann. des Télécommunications 77(5-6): 359-370 (2022) - [j1]Anurag Das, Bobak Mortazavi, Seyedhooman Sajjadi, Theodora Chaspari, Laura E. Ruebush, Nicolaas E. P. Deutz, Gerard L. Coté, Ricardo Gutierrez-Osuna:
Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood. IEEE J. Biomed. Health Informatics 26(6): 2726-2736 (2022) - [c12]Anurag Das, Bobak Mortazavi, Nicolaas E. P. Deutz, Ricardo Gutierrez-Osuna:
Modeling Individual Differences in Food Metabolism through Alternating Least Squares. EMBC 2022: 2988-2992 - [c11]Waris Quamer, Anurag Das, John Levis, Evgeny Chukharev-Hudilainen, Ricardo Gutierrez-Osuna:
Zero-Shot Foreign Accent Conversion without a Native Reference. INTERSPEECH 2022: 4920-4924 - [i1]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR abs/2212.07911 (2022) - 2021
- [c10]Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. BHI 2021: 1-5 - [c9]Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. GCPR 2021: 235-249 - [c8]Anurag Das, Seyedhooman Sajjadi, Bobak Mortazavi, Theodora Chaspari, Projna Paromita, Laura Ruebush, Nicolaas E. P. Deutz, Ricardo Gutierrez-Osuna:
A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. ICASSP 2021: 2900-2904 - [c7]Seyedhooman Sajjadi, Anurag Das, Ricardo Gutierrez-Osuna, Theodora Chaspari, Projna Paromita, Laura E. Ruebush, Nicolaas E. P. Deutz, Bobak J. Mortazavi:
Towards The Development of Subject-Independent Inverse Metabolic Models. ICASSP 2021: 3970-3974 - [c6]Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Personalized Meal Classification Using Continuous Glucose Monitors. IUI Workshops 2021 - 2020
- [c5]Anurag Das, Guanlong Zhao, John Levis, Evgeny Chukharev-Hudilainen, Ricardo Gutierrez-Osuna:
Understanding the Effect of Voice Quality and Accent on Talker Similarity. INTERSPEECH 2020: 1763-1767
2010 – 2019
- 2019
- [c4]Anurag Das, Samuel A. Ajila, Chung-Horng Lung:
A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection. MLN 2019: 40-57 - [c3]Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra, Anurag Das, Prasanta Kumar Ghosh:
Noise robust goodness of pronunciation measures using teacher's utterance. SLaTE 2019: 69-73 - 2018
- [c2]C. A. Valliappan, Anurag Das, Prasanta Kumar Ghosh:
Classification of story-telling and poem recitation using head gesture of the talker. SPCOM 2018: 36-40 - 2016
- [c1]Anurag Das, Rajat Arora, T. V. S. Ram:
Efficient baseband processing system for DVB-RCS to DVB-S2 onboard processing satellite. ICACCI 2016: 261-268
Coauthor Index
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