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Soonmin Hwang

5 papers hereh-index 131.9k citations21 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO1
same name
  • Soonmin Hwang — 2 papers, h 2
  • Soonmin Hwang — 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
20172025
most citedInstant Domain Augmentation for LiDAR Semantic Segmentation

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation

Seokjun Kwon, Jeongmin Shin, Namil Kim +2

In autonomous driving, thermal image semantic segmentation has emerged as a critical research area, owing to its ability to provide robust scene understanding under adverse visual…

cs.CV2023★ 1 cited

Instant Domain Augmentation for LiDAR Semantic Segmentation

Kwonyoung Ryu, Soonmin Hwang, Jaesik Park

Despite the increasing popularity of LiDAR sensors, perception algorithms using 3D LiDAR data struggle with the 'sensor-bias problem'. Specifically, the performance of perception a…

cs.CV2022

T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction

Benjamin Stoler, Meghdeep Jana, Soonmin Hwang +1

Predicting pedestrian motion is essential for developing socially-aware robots that interact in a crowded environment. While the natural visual perspective for a social interaction…

cs.CV2017

StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection

Sanghyun Woo, Soonmin Hwang, In So Kweon

One-stage object detectors such as SSD or YOLO already have shown promising accuracy with small memory footprint and fast speed. However, it is widely recognized that one-stage det…

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