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Pingping Zhang

3 papers hereh-index 4150 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Pingping Zhang — 11 papers, h 11
  • Pingping Zhang — 9 papers, h 4
  • Pingping Zhang — 8 papers, h 5
  • Pingping Zhang — 4 papers, h 2
  • Pingping Zhang — 2 papers, h 2
  • Pingping Zhang — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding

Pingping Zhang, Jinlong Li, Kecheng Chen +6

Existing codecs are designed to eliminate intrinsic redundancies to create a compact representation for compression. However, strong external priors from Multimodal Large Language…

cs.CV2024

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need

Kecheng Chen, Pingping Zhang, Hui Liu +6

We have recently witnessed that ``Intelligence" and `` Compression" are the two sides of the same coin, where the language large model (LLM) with unprecedented intelligence is a ge…

cs.CV2024

Test-time adaptation for image compression with distribution regularization

Kecheng Chen, Pingping Zhang, Tiexin Qin +3

Current test- or compression-time adaptation image compression (TTA-IC) approaches, which leverage both latent and decoder refinements as a two-step adaptation scheme, have potenti…

cs.CV2024

CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting

Xiangrui Liu, Xinju Wu, Pingping Zhang +3

Gaussian splatting, renowned for its exceptional rendering quality and efficiency, has emerged as a prominent technique in 3D scene representation. However, the substantial data vo…

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