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Wei Jiang

12 papers hereh-index 171.9k citations71 works total

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

author position
  • middle author4
  • last author6

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG3
  • cs.AI1
  • cs.CE1
  • cs.CL1
  • eess.IV1
same name
  • Wei Jiang — 14 papers, h 5
  • Wei Jiang — 11 papers, h 4
  • Wei Jiang — 8 papers, h 9
  • Wei Jiang — 7 papers, h 7
  • Wei Jiang — 5 papers, h 3
  • Wei Jiang — 5 papers, h 5

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.CV2026

Analysis of Converged 3D Gaussian Splatting Solutions: Density Effects and Prediction Limit

Zhendong Wang, Cihan Ruan, Jingchuan Xiao +5

We investigate what structure emerges in 3D Gaussian Splatting (3DGS) solutions from standard multi-view optimization. We term these Rendering-Optimal References (RORs) and analyze…

cs.CV2026

ISCS: Parameter-Guided Feature Pruning for Resource-Constrained Embodied Perception

Jinhao Wang, Nam Ling, Wei Wang +1

Prior studies in embodied AI consistently show that robust perception is critical for human-robot interaction, yet deploying high-fidelity visual models on resource-constrained age…

cs.CV2025

HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates

Lei Lu, Yize Li, Yanzhi Wang +2

Image compression under ultra-low bitrates remains challenging for both conventional learned image compression (LIC) and generative vector-quantized (VQ) modeling. Conventional LIC…

cs.CV2025

M3VIR: A Large-Scale Multi-Modality Multi-View Synthesized Benchmark Dataset for Image Restoration and Content Creation

Yuanzhi Li, Lebin Zhou, Nam Ling +3

The gaming and entertainment industry is rapidly evolving, driven by immersive experiences and the integration of generative AI (GAI) technologies. Training such models effectively…

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