Birendra Kathariya

23 papers A 1B 8C 8Misc 2Journal 2Unranked 2
YearRankTypeTitle / Venue / Authors
2026 Misc conf
TV-GS: Triplane Video-based Dynamic 3D Gaussian Splatting Representation for 2D Video Coding.
ICNC
Birendra Kathariya, Dae Yeol Lee, Tsung-Wei Huang, Fangjun Pu, Guan-Ming Su, Peng Yin, Sean McCarthy
2025 Misc conf
Gaussian Splatting: State-of-The-Arts and Future Trends.
ICNC
Birendra Kathariya, Dae Yeol Lee, Tsung-Wei Huang, Tong Shao, Peng Yin, Guan-Ming Su
2025 J jnl
Region-Adaptive Learned Hierarchical Encoding for 3D Gaussian Splatting Data.
CoRR
Shashank N. Sridhara, Birendra Kathariya, Fangjun Pu, Peng Yin, Eduardo Pavez, Antonio Ortega
2024 J jnl
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.
Birendra Kathariya, Zhu Li, Geert Van der Auwera
2024 B conf
MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking.
DCC
Muhammad Talha, Birendra Kathariya, Zhu Li, Geert Van der Auwera
2024 — conf
Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution.
CVPR Workshops
Raghunath Sai Puttagunta, Birendra Kathariya, Zhu Li, George York
2024 C conf
PointCU: Multiscale Sparse Convolutional Learning for Point Cloud Color Upsampling.
VCIP
Birendra Kathariya, Anique Akhtar, Zhu Li, Geert Van der Auwera
2024 B conf
ResNeRF-PCAC: Super Resolving Residual Learning NeRF for High Efficiency Point Cloud Attributes Coding.
ICIP
Sajid Umair, Birendra Kathariya, Zhu Li, Anique Akhtar, Geert Van der Auwera
2024 C conf
Sparse Convolution Based Point Cloud Attributes Deblocking with Graph Fourier Latent Representation.
MMSP
Muhammad Talha, Birendra Kathariya, Zhu Li, Anique Akhtar, Geert Van der Auwera
2024 B conf
TSF-NET3D: TSF-NET for 3D Point Cloud Attribute Compression Artifacts Removal.
ICIP
Birendra Kathariya, Zhu Li, Geert Van der Auwera
2023 C conf
Plug-and-Play Joint Image Deblurring and Detection.
MMSP
Corey Marrs, Birendra Kathariya, Zhu Li, George York
2023 B conf
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine.
IEEE Big Data
Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li
2022 — conf
Aerial Image Classification through Thin Lensless Camera.
MIPR
Chris Henry, Birendra Kathariya, M. Salman Asif, Zhu Li, George York
2022 C conf
Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC.
PCS
Birendra Kathariya, Zhu Li, Hongtao Wang, Muhammed Z. Coban
2022 C conf
Multi-stage Locally and Long-range Correlated Feature Fusion for Learned In-loop Filter in VVC.
VCIP
Birendra Kathariya, Zhu Li, Hongtao Wang, Geert Van der Auwera
2021 C conf
Gradient Compression with a Variational Coding Scheme for Federated Learning.
VCIP
Birendra Kathariya, Zhu Li, Jianle Chen, Geert Van der Auwera
2020 C conf
Network Update Compression for Federated Learning.
VCIP
Birendra Kathariya, Li Li, Zhu Li, Lingyu Duan, Shan Liu
2019 B conf
Incremental Deep Neural Network Pruning Based on Hessian Approximation.
DCC
Li Li, Zhu Li, Yue Li, Birendra Kathariya, Shuvra S. Bhattacharyya
2019 B conf
Level-of-Detail Generation Using Binary-Tree for Lifting Scheme in LiDAR Point Cloud Attributes Coding.
DCC
Birendra Kathariya, Vladyslav Zakharchenko, Zhu Li, Jianle Chen
2019 B conf
Low Latency Scalable Point Cloud Communication.
ICIP
Anique Akhtar, Birendra Kathariya, Zhu Li
2018 B conf
Lossless dynamic point cloud geometry compression with inter compensation and traveling salesman prediction.
DCC
Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez
2018 A conf
Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree.
ICME
Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez, Jianle Chen
2017 C conf
Embedded binary tree for dynamic point cloud geometry compression with graph signal resampling and prediction.
VCIP
Birendra Kathariya, Ainala Karthik, Zhu Li, Rajan Joshi