Birendra Kathariya

According to our database, Birendra Kathariya authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint Pixel and Frequency Feature Learning and Fusion via Channel-Wise Transformer for High-Efficiency Learned In-Loop Filter in VVC.

Birendra Kathariya, Zhu Li, Geert Van Der Auwera

IEEE Trans. Circuits Syst. Video Technol., May, 2024

MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking.

Muhammad Talha, Birendra Kathariya, Zhu Li, Geert Van Der Auwera

Proceedings of the Data Compression Conference, 2024

Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution.

Raghunath Sai Puttagunta, Birendra Kathariya, Zhu Li, George York

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Plug-and-Play Joint Image Deblurring and Detection.

Corey Marrs, Birendra Kathariya, Zhu Li, George York

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine.

Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Multi-stage Locally and Long-range Correlated Feature Fusion for Learned In-loop Filter in VVC.

Birendra Kathariya, Zhu Li, Hongtao Wang, Geert Van Der Auwera

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC.

Birendra Kathariya, Zhu Li, Hongtao Wang, Mohammad Coban

Proceedings of the Picture Coding Symposium, 2022

Aerial Image Classification through Thin Lensless Camera.

Chris Henry, Birendra Kathariya, M. Salman Asif, Zhu Li, George York

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

2021

Gradient Compression with a Variational Coding Scheme for Federated Learning.

Birendra Kathariya, Zhu Li, Jianle Chen, Geert Van Der Auwera

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

2020

Network Update Compression for Federated Learning.

Birendra Kathariya, Li Li, Zhu Li, Lingyu Duan, Shan Liu

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

2019

Low Latency Scalable Point Cloud Communication.

Anique Akhtar, Birendra Kathariya, Zhu Li

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Incremental Deep Neural Network Pruning Based on Hessian Approximation.

Li Li, Zhu Li, Yue Li, Birendra Kathariya, Shuvra S. Bhattacharyya

Proceedings of the Data Compression Conference, 2019

Level-of-Detail Generation Using Binary-Tree for Lifting Scheme in LiDAR Point Cloud Attributes Coding.

Birendra Kathariya, Vladyslav Zakharchenko, Zhu Li, Jianle Chen

Proceedings of the Data Compression Conference, 2019

2018

Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree.

Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez, Jianle Chen

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Lossless dynamic point cloud geometry compression with inter compensation and traveling salesman prediction.

Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez

Proceedings of the 2018 Data Compression Conference, 2018

2017

Embedded binary tree for dynamic point cloud geometry compression with graph signal resampling and prediction.

Birendra Kathariya, Ainala Karthik, Zhu Li, Rajan Joshi

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017