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About Me

I am a Ph.D. student at University of Missouri Kansas-City (UMKC), working in Multimedia Computation and Communication (MCC) Lab under the supervision of Dr. Zhu Li.


Education

  • B.E. || Nepal Engineering College, Nepal ||| 2008-2012
  • Masters | University of Missouri-Kansas City, USA || 2015-2017
  • Ph.D. || University of Missouri-Kansas City, USA ||| 2017-Present

Skills & Abilities

Programming

  • C, C++, Python, Matlab, VHDL

Expertise

  • Image, Video and Point Cloud Compression/Processing
  • Compression in Federated Learning and Deep Learning Model Compression
  • Machine Learning, Neural Network and Deep Learning

Experience

RESEARCH ASSISTANT, MCC LAB, UMKC (AUGUST 2016-PRESENT)

  • The key responsibilities are to conduct research on different topics related to multimedia computation and compression under the supervision of Professor Zhu Li.

MEDIATEK, SAN JOSE, CA (INTERNSHIP, JUNE 2017- JULY 2017)

  • Implement tiled based 360o video player on web-browser that should support MPEG-DASH (Dynamic Adaptive Streaming over HTTP) SRD (Spatial Relationship Descriptor)

FUTUREWEI TECH. INC., SAN JOSE, CA (INTERNSHIP, JUNE 2018- DEC 2018)

  • Made a contribution to G-PCC (Geometry Based Point Could Compression), a point cloud compression standard developed by MPEG-PCC for static and LiDAR dataset. The contribution “Binary-tree based level-of-details generation for attributes coding in G-PCC” got adopted in the tmc13v5 standard.

TENCENT AMERICA, PALO ALTO, CA (INTERNSHIP, MAY 2019- AUGUST 2019)

  • Worked on inter-version of G-PCC (Inter-EM) which is an exploratory model for point cloud compression for frame-based point cloud. The idea was to exploit both geometry as well as the attribute values to search the matching block in the reference frame.

QUALCOMM, SAN DIEGO, CA (INTERNSHIP, AUGUST 2021- JANUARY 2022)

  • Worked on Learning-based In-loop filter for VVC (Versatile Video Coding). Utilized CNN and Transformers to design learned In-loop filter.

QUALCOMM, SAN DIEGO, CA (INTERNSHIP, AUGUST 2022- SEPTEMBER 2023)

  • Worked on deriving the angular parameters of KITTI dataset for optimal compression with G-PCC.

  • Birendra Kathariya, Zhu Li, G. Van der Auwera, “TSF-Net3D: TSF-Net for 3D Point Cloud Attribute Compression Artifacts Removal ”, ICIP 2024 (Submitted)
  • Birendra Kathariya, Anique Akthar, Zhu Li, G. Van der Auwera, “PointCU: Multiscale Sparse Convolution Learning for Point Cloud Color Upsampling”, TCSVT 2023 (Under Review)
  • Birendra Kathariya, Zhu Li, G. Van der Auwera, “Joint Pixel and Frequency Feature Learning and Fusion via Channel-wise Transformer for High-Efficiency Learned In-Loop Filter in VVC”, TCSVT 2023
  • Birendra Kathariya, Zhu Li, Hongtao Wang, Mohammad Coban, “Multi-stage Spatial and Frequency Feature Fusion using Transformer for CNN-Based In-loop Filter for VVC”, PCS 2022
  • Birendra Kathariya, Zhu Li, Hongtao Wang, Geert Van Der Anuwera, “Multi-stage Locally and Long-range correlated Feature Fusion for Learned In-loop Filter for VVC”, VCIP 2022
  • Birendra Kathariya, Zhu Li, Jianle Chen, Geert Van Der Anuwera, “Gradient Compression with Variational Coding Scheme for Federated Learning”, VCIP, December 2021
  • Birendra Kathariya, Li Li, Zhu Li, Lingyu Duan and Shan Liu, “Network Update Compression for Federated Learning”, VCIP, December 2020
  • Anique Akhtar, Birendra Kathariya, Zhu Li, “Low Latency Scalable Point Cloud Communication”, ICIP, September, 2019
  • Birendra Kathariya, Vladyslav Zakharchenko, Zhu Li, and Jianle Chen, “Level-of-detail generation using binary-tree for lifting scheme in point cloud attributes coding”, DCC, March 2019
  • Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez, Jianle Chen, “Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree”, ICME, July 2018
  • Birendra Kathariya, Li Li, Zhu Li, Jose R. Alvarez, “Lossless Dynamic Point Cloud Geometry Compression with Inter Compensation and Travelling Salesman Prediction”, DCC, March 2018
  • Birendra Kathariya, Ainala Karthik, Zhu Li, Rajan Joshi, “Embedded binary tree for dynamic point cloud geometry compression”, VCIP, December 2017
  • Karthik Ainala, Rufael N. Mekuria, Birendra Kathariya, Zhu Li, Te-Kui Wang, Rajan Joshi, “An improved enhancement layer for octree based point cloud compression with plane projection approximation”, SPIE September 2016

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