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Srihari Pratapa
Srihari Pratapa
Graduate Student, UNC Chapel Hill
Verified email at cs.unc.edu
Title
Cited by
Cited by
Year
GLMP-realtime pedestrian path prediction using global and local movement patterns
A Bera, S Kim, T Randhavane, S Pratapa, D Manocha
2016 IEEE International Conference on Robotics and Automation (ICRA), 5528-5535, 2016
782016
GST: GPU-decodable supercompressed textures
P Krajcevski, S Pratapa, D Manocha
ACM Transactions on Graphics (TOG) 35 (6), 1-10, 2016
232016
RLFC: Random access light field compression using key views and bounded integer sequence encoding
S Pratapa, D Manocha
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and …, 2019
14*2019
MPTC: Video rendering for virtual screens using compressed textures
S Pratapa, P Krajcevski, D Manocha
Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics …, 2017
62017
HMLFC: Hierarchical Motion‐Compensated Light Field Compression for Interactive Rendering
S Pratapa, D Manocha
Computer Graphics Forum 38 (8), 1-12, 2019
42019
TexNN: Fast texture encoding using neural networks
S Pratapa, T Olson, A Chalfin, D Manocha
Computer Graphics Forum 38 (1), 328-339, 2019
42019
RANDM: Random Access Depth Map Compression Using Range-Partitioning and Global Dictionary
S Pratapa, D Manocha
Symposium on Interactive 3D Graphics and Games, 1-11, 2020
12020
Selecting encoding options
S Pratapa, H Sharma, TJ Olson, AE Chalfin
US Patent 10,559,093, 2020
2020
Efficient Random Access Compression Schemes for Image-Based Representations
S Pratapa
The University of North Carolina at Chapel Hill, 2020
2020
Deep (Hierarchical) Classification of Tweets
S Pratapa
Indian Institute of Technology, Kharagpur, 2014
2014
Link Prediction
S Pratapa, P Mitra
2014
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Articles 1–11