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researcher

V. Chen

4 papers hereh-index 5294 citations13 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.LG1
  • cs.RO1
same name
  • V. Chen — 11 papers, h 3
  • V. Chen — 6 papers, h 5
  • V. Chen — 4 papers, h 4
  • V. Chen — 2 papers, h 1
  • V. Chen — 1 paper, h 3
  • V. Chen — 1 paper, h 0

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
20192026
most citedSlice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

23 citations · 23 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026

WALL-WM: Carving World Action Modeling at the Event Joints

Shalfun Li, Victor Yao, Charles Yang +29

WALL-WM is a World Action Model that shifts video-action learning from chunk-centric optimization to event-grounded Vision-Language-Action pretraining, using semantically coherent…

cs.CV2025

ERUPT: Efficient Rendering with Unposed Patch Transformer

Maxim V. Shugaev, Vincent Chen, Maxim Karrenbach +3

This work addresses the problem of novel view synthesis in diverse scenes from small collections of RGB images. We propose ERUPT (Efficient Rendering with Unposed Patch Transformer…

cs.LG2019★ 23 cited

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

Vincent S. Chen, Sen Wu, Zhenzhen Weng +2

In real-world machine learning applications, data subsets correspond to especially critical outcomes: vulnerable cyclist detections are safety-critical in an autonomous driving tas…

cs.CV2019

Scene Graph Prediction with Limited Labels

Vincent S. Chen, Paroma Varma, Ranjay Krishna +3

Visual knowledge bases such as Visual Genome power numerous applications in computer vision, including visual question answering and captioning, but suffer from sparse, incomplete…

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