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Ziqian Bai

4 papers hereh-index 7433 citations10 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.IT2
same name
  • Ziqian Bai — 4 papers, h 3
  • Ziqian Bai — 3 papers

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

activity
20182022
most citedCodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors

4 citations · 7 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2022

AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling

Ziqian Bai, Timur Bagautdinov, Javier Romero +3

Neural fields such as implicit surfaces have recently enabled avatar modeling from raw scans without explicit temporal correspondences. In this work, we exploit autoregressive mode…

cs.CV2021★ 3 cited

Riggable 3D Face Reconstruction via In-Network Optimization

Ziqian Bai, Zhaopeng Cui, Xiaoming Liu +1

This paper presents a method for riggable 3D face reconstruction from monocular images, which jointly estimates a personalized face rig and per-image parameters including expressio…

cs.IT2019★ 4 cited

CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors

Sanghamitra Dutta, Ziqian Bai, Tze Meng Low +1

This work proposes the first strategy to make distributed training of neural networks resilient to computing errors, a problem that has remained unsolved despite being first posed…

cs.IT2018

A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication

Sanghamitra Dutta, Ziqian Bai, Haewon Jeong +2

This paper has two contributions. First, we propose a novel coded matrix multiplication technique called Generalized PolyDot codes that advances on existing methods for coded matri…

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