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researcher

Lisha Cui

4 papers hereh-index 5418 citations24 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedMDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects

63 citations · 73 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects

Feng Yan, Xiaoheng Jiang, Yang Lu +5

Surface defect inspection is a very challenging task in which surface defects usually show weak appearances or exist under complex backgrounds. Most high-accuracy defect detection…

cs.CV2021★ 9 cited

Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection

Pei Lv, Suqi Hu, Tianran Hao

Weakly supervised object detection (WSOD) has attracted more and more attention since it only uses image-level labels and can save huge annotation costs. Most of the WSOD methods u…

cs.CV2019★ 1 cited

Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization

Pei Lv, Haiyu Yu, Junxiao Xue +5

Localizing objects with weak supervision in an image is a key problem of the research in computer vision community. Many existing Weakly-Supervised Object Localization (WSOL) appro…

cs.CV2018★ 63 cited

MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects

Lisha Cui, Rui Ma, Pei Lv +4

For most of the object detectors based on multi-scale feature maps, the shallow layers are rich in fine spatial information and thus mainly responsible for small object detection.…

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