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researcher

Jordan Dotzel

Cornell University

13 papers hereh-index 9533 citations15 works total

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

author position
  • first author5
  • middle author8

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CV3
  • cs.AR2
  • cs.CL1
affiliations
  • Cornell University
  • Google

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedImproving Neural Network Quantization without Retraining using Outlier Channel Splitting

151 citations · 160 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

Semantic Compression of 3D Objects for Open and Collaborative Virtual Worlds

Jordan Dotzel, Tony Montes, Mohamed S. Abdelfattah +1

Traditional methods for 3D object compression operate only on structural information within the object vertices, polygons, and textures. These methods are effective at compression…

cs.CV2024

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel

Jordan Dotzel, Bahaa Kotb, James Dotzel +2

Traditional methods, such as JPEG, perform image compression by operating on structural information, such as pixel values or frequency content. These methods are effective to bitra…

cs.CV2023★ 1 cited

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search

Jordan Dotzel, Gang Wu, Andrew Li +9

Quantization has become a mainstream compression technique for reducing model size, computational requirements, and energy consumption for modern deep neural networks (DNNs). With…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.