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researcher

V. Pham

4 papers hereh-index 8499 citations21 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.CV3
  • cs.LG1
same name
  • V. Pham — 10 papers, h 16
  • V. Pham — 6 papers, h 7
  • V. Pham — 6 papers, h 9
  • V. Pham — 4 papers, h 3
  • V. Pham — 4 papers, h 2
  • V. Pham — 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

activity
20172026
most citedFederated Domain Generalization with Data-free On-server Matching Gradient

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing

Toan Gian, Dung T. Tran, Viet Quoc Pham +2

With the growing demand for device-free and privacy-preserving sensing solutions, Wi-Fi sensing has emerged as a promising approach for human pose estimation (HPE). However, existi…

cs.LG2025★ 1 cited

Federated Domain Generalization with Data-free On-server Matching Gradient

Trong-Binh Nguyen, Minh-Duong Nguyen, Jinsun Park +2

Domain Generalization (DG) aims to learn from multiple known source domains a model that can generalize well to unknown target domains. One of the key approaches in DG is training…

cs.CV2023

Focusing On Targets For Improving Weakly Supervised Visual Grounding

Viet-Quoc Pham, Nao Mishima

Weakly supervised visual grounding aims to predict the region in an image that corresponds to a specific linguistic query, where the mapping between the target object and query is…

cs.CV2017

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks

Viet-Quoc Pham, Satoshi Ito, Tatsuo Kozakaya

We present a simple and effective framework for simultaneous semantic segmentation and instance segmentation with Fully Convolutional Networks (FCNs). The method, called BiSeg, pre…

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