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 | 82 | 2016 |
GST: GPU-decodable supercompressed textures P Krajcevski, S Pratapa, D Manocha ACM Transactions on Graphics (TOG) 35 (6), 1-10, 2016 | 23 | 2016 |
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 | 6 | 2017 |
HMLFC: Hierarchical Motion‐Compensated Light Field Compression for Interactive Rendering S Pratapa, D Manocha Computer Graphics Forum 38 (8), 1-12, 2019 | 4 | 2019 |
TexNN: Fast texture encoding using neural networks S Pratapa, T Olson, A Chalfin, D Manocha Computer Graphics Forum 38 (1), 328-339, 2019 | 4 | 2019 |
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 | 1 | 2020 |
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 |