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Books and Theses
- 2013
[b1]Pradeep Krishna Yarlagadda:
Beyond the sum of parts: shape-based object detection and its applications. Heidelberg University, 2013, pp. 1-96
Journal Articles
- 2015
- [j1]Pradeep Yarlagadda, Björn Ommer:
Beyond the Sum of Parts: Voting with Groups of Dependent Entities. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1134-1147 (2015)
Conference and Workshop Papers
- 2021
- [c10]Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti, Shyamgopal Karthik, Ramanathan Subramanian
, Vineet Gandhi:
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. IROS 2021: 3520-3527 - 2020
- [c9]Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi:
Tidying Deep Saliency Prediction Architectures. IROS 2020: 10241-10247 - 2012
- [c8]Angela Eigenstetter, Pradeep Krishna Yarlagadda, Björn Ommer:
Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching. ACCV (1) 2012: 152-163 - [c7]Pradeep Yarlagadda, Angela Eigenstetter, Björn Ommer:
Learning Discriminative Chamfer Regularization. BMVC 2012: 1-11 - [c6]Pradeep Yarlagadda, Björn Ommer:
From Meaningful Contours to Discriminative Object Shape. ECCV (1) 2012: 766-779 - 2011
- [c5]Pradeep Yarlagadda, Antonio Monroy, Bernd Carqué, Björn Ommer:
Top-down analysis of low-level object relatedness leading to semantic understanding of medieval image collections. Computer Vision and Image Analysis of Art 2011: 786906 - 2010
- [c4]Pradeep Yarlagadda, Antonio Monroy, Bernd Carqué, Björn Ommer:
Recognition and Analysis of Objects in Medieval Images. ACCV Workshops (2) 2010: 296-305 - [c3]Pradeep Yarlagadda, Antonio Monroy, Björn Ommer:
Voting by Grouping Dependent Parts. ECCV (5) 2010: 197-210 - 2008
- [c2]Pradeep Yarlagadda, Özge Can Özcanli, Joseph L. Mundy:
Lie group distance based generic 3-d vehicle classification. ICPR 2008: 1-4 - [c1]Pradeep Yarlagadda, Kshitiz Garg, Sadiye Guler, Meltem Demirkus:
Intuvision Event Detection System FORTRECVID 2008. TRECVID 2008
Informal and Other Publications
- 2020
- [i2]Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi:
Tidying Deep Saliency Prediction Architectures. CoRR abs/2003.04942 (2020) - [i1]Samyak Jain, Pradeep Yarlagadda, Ramanathan Subramanian, Vineet Gandhi:
AViNet: Diving Deep into Audio-Visual Saliency Prediction. CoRR abs/2012.06170 (2020)
Coauthor Index
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