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Seung-Hwan Bae

4 papers hereh-index 121.1k citations28 works total

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

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

fields
  • cs.CV3
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedRank of Experts: Detection Network Ensemble

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

collaborators

4 papers

eess.SY2022

RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks

Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa +4

Different from existing MOT (Multi-Object Tracking) techniques that usually aim at improving tracking accuracy and average FPS, real-time systems such as autonomous vehicles necess…

cs.CV2020★ 2 cited

SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation

Seong-Ho Lee, Seung-Hwan Bae

Recent convolutional object detectors exploit multi-scale feature representations added with top-down pathway in order to detect objects at different scales and learn stronger sema…

cs.CV2019

Object Detection based on Region Decomposition and Assembly

Seung-Hwan Bae

Region-based object detection infers object regions for one or more categories in an image. Due to the recent advances in deep learning and region proposal methods, object detector…

cs.CV2017★ 5 cited

Rank of Experts: Detection Network Ensemble

Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo +2

The recent advances of convolutional detectors show impressive performance improvement for large scale object detection. However, in general, the detection performance usually decr…

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