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Birendra Kathariya
Person information
- affiliation: University of Missouri-Kansas City, USA
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2020 – today
- 2024
- [j1]Birendra Kathariya
, Zhu Li
Joint Pixel and Frequency Feature Learning and Fusion via Channel-Wise Transformer for High-Efficiency Learned In-Loop Filter in VVC. IEEE Trans. Circuits Syst. Video Technol. 34(5): 4070-4083 (2024) - [c15]Raghunath Sai Puttagunta, Birendra Kathariya, Zhu Li, George York:
Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution. CVPR Workshops 2024: 3086-3095 - [c14]Muhammad Talha, Birendra Kathariya, Zhu Li, Geert Van Der Auwera:
MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking. DCC 2024: 587 - 2023
- [c13]Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li:
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine. IEEE Big Data 2023: 17-26 - [c12]Corey Marrs, Birendra Kathariya, Zhu Li, George York:
Plug-and-Play Joint Image Deblurring and Detection. MMSP 2023: 1-6 - 2022
- [c11]Chris Henry, Birendra Kathariya, M. Salman Asif, Zhu Li, George York:
Aerial Image Classification through Thin Lensless Camera. MIPR 2022: 27-30 - [c10]Birendra Kathariya, Zhu Li, Hongtao Wang, Mohammad Coban:
Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC. PCS 2022: 373-377 - [c9]Birendra Kathariya, Zhu Li, Hongtao Wang, Geert Van Der Auwera:
Multi-stage Locally and Long-range Correlated Feature Fusion for Learned In-loop Filter in VVC. VCIP 2022: 1-5 - 2021
- [c8]Birendra Kathariya, Zhu Li, Jianle Chen, Geert Van Der Auwera:
Gradient Compression with a Variational Coding Scheme for Federated Learning. VCIP 2021: 1-5 - 2020
- [c7]Birendra Kathariya, Li Li, Zhu Li, Lingyu Duan, Shan Liu:
Network Update Compression for Federated Learning. VCIP 2020: 38-41
2010 – 2019
- 2019
- [c6]Birendra Kathariya, Vladyslav Zakharchenko, Zhu Li, Jianle Chen:
Level-of-Detail Generation Using Binary-Tree for Lifting Scheme in LiDAR Point Cloud Attributes Coding. DCC 2019: 580 - [c5]Li Li, Zhu Li, Yue Li, Birendra Kathariya, Shuvra S. Bhattacharyya:
Incremental Deep Neural Network Pruning Based on Hessian Approximation. DCC 2019: 590 - [c4]Anique Akhtar, Birendra Kathariya, Zhu Li:
Low Latency Scalable Point Cloud Communication. ICIP 2019: 2369-2373 - 2018
- [c3]Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez:
Lossless dynamic point cloud geometry compression with inter compensation and traveling salesman prediction. DCC 2018: 414 - [c2]Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez, Jianle Chen:
Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree. ICME 2018: 1-6 - 2017
- [c1]Birendra Kathariya, Ainala Karthik, Zhu Li, Rajan Joshi:
Embedded binary tree for dynamic point cloud geometry compression with graph signal resampling and prediction. VCIP 2017: 1-4
Coauthor Index
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