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Seunghyuk Cho

12 papers hereh-index 492 citations15 works total

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

author position
  • first author6
  • middle author5
  • last author1

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

fields
  • cs.LG6
  • cs.CV4
  • cs.MA1
  • cs.RO1
same name
  • Seunghyuk Cho — 2 papers, h 1

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
20212026
most citedFeature Unlearning for Pre-trained GANs and VAEs

11 citations · 25 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey

Seunghyuk Cho, Zhenyue Qin, Yang Liu +3

Plane geometry problem solving (PGPS) has recently gained significant attention as a benchmark to assess the multi-modal reasoning capabilities of large vision-language models. Des…

cs.CV2025

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder

Seunghyuk Cho, Zhenyue Qin, Yang Liu +3

We introduce GeoDANO, a geometric vision-language model (VLM) with a domain-agnostic vision encoder, for solving plane geometry problems. Although VLMs have been employed for solvi…

cs.CV2023★ 11 cited

Feature Unlearning for Pre-trained GANs and VAEs

Saemi Moon, Seunghyuk Cho, Dongwoo Kim

We tackle the problem of feature unlearning from a pre-trained image generative model: GANs and VAEs. Unlike a common unlearning task where an unlearning target is a subset of the…

cs.CV2021★ 6 cited

Semi-supervised Image Classification with Grad-CAM Consistency

Juyong Lee, Seunghyuk Cho

Consistency training, which exploits both supervised and unsupervised learning with different augmentations on image, is an effective method of utilizing unlabeled data in semi-sup…

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