Embedded binary tree for dynamic point cloud geometry compression with graph signal resampling and prediction. - Birendra Kathariya; Ainala Karthik; Zhu Li 001; Rajan Joshi (VCIP, 2017)

Lossless dynamic point cloud geometry compression with inter compensation and traveling salesman prediction. - Birendra Kathariya; Li Li 040; Zhu Li 001; Jose R. Alvarez (DCC, 2018)

Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree. - Birendra Kathariya; Li Li 040; Zhu Li 001; Jose R. Alvarez; Jianle Chen (ICME, 2018)

Level-of-Detail Generation Using Binary-Tree for Lifting Scheme in LiDAR Point Cloud Attributes Coding. - Birendra Kathariya; Vladyslav Zakharchenko; Zhu Li 001; Jianle Chen (DCC, 2019)

Incremental Deep Neural Network Pruning Based on Hessian Approximation. - Li Li 040; Zhu Li 001; Yue Li 015; Birendra Kathariya; Shuvra S. Bhattacharyya (DCC, 2019)

Low Latency Scalable Point Cloud Communication. - Anique Akhtar; Birendra Kathariya; Zhu Li 001 (ICIP, 2019)

Network Update Compression for Federated Learning. - Birendra Kathariya; Li Li 040; Zhu Li 001; Lingyu Duan; Shan Liu 001 (VCIP, 2020)

Gradient Compression with a Variational Coding Scheme for Federated Learning. - Birendra Kathariya; Zhu Li 001; Jianle Chen; Geert Van Der Auwera (VCIP, 2021)

Aerial Image Classification through Thin Lensless Camera. - Chris Henry; Birendra Kathariya; M. Salman Asif; Zhu Li 001; George York (MIPR, 2022)

Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC. - Birendra Kathariya; Zhu Li 001; Hongtao Wang; Mohammad Coban (PCS, 2022)

Multi-stage Locally and Long-range Correlated Feature Fusion for Learned In-loop Filter in VVC. - Birendra Kathariya; Zhu Li 001; Hongtao Wang; Geert Van Der Auwera (VCIP, 2022)

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 001 (IEEE Big Data, 2023)

Plug-and-Play Joint Image Deblurring and Detection. - Corey Marrs; Birendra Kathariya; Zhu Li 001; George York (MMSP, 2023)

Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution. - Raghunath Sai Puttagunta; Birendra Kathariya; Zhu Li 001; George York (CVPR Workshops, 2024)

MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking. - Muhammad Talha; Birendra Kathariya; Zhu Li 001; Geert Van Der Auwera (DCC, 2024)

TSF-NET3D: TSF-NET for 3D Point Cloud Attribute Compression Artifacts Removal. - Birendra Kathariya; Zhu Li 001; Geert Van Der Auwera (ICIP, 2024)

ResNeRF-PCAC: Super Resolving Residual Learning NeRF for High Efficiency Point Cloud Attributes Coding. - Sajid Umair; Birendra Kathariya; Zhu Li 001; Anique Akhtar; Geert Van Der Auwera (ICIP, 2024)

Sparse Convolution Based Point Cloud Attributes Deblocking with Graph Fourier Latent Representation. - Muhammad Talha; Birendra Kathariya; Zhu Li 001; Anique Akhtar; Geert Van Der Auwera (MMSP, 2024)

PointCU: Multiscale Sparse Convolutional Learning for Point Cloud Color Upsampling. - Birendra Kathariya; Anique Akhtar; Zhu Li 001; Geert Van Der Auwera (VCIP, 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 001; Geert Van Der Auwera (IEEE Trans. Circuits Syst. Video Technol., 2024)

Gaussian Splatting: State-of-The-Arts and Future Trends. - Birendra Kathariya; Dae Yeol Lee; Tsung-Wei Huang; Tong Shao; Peng Yin 002; Guan-Ming Su (ICNC, 2025)