beomyoung kim
9 papers · 2021–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🔥
Unstoppable · Bronze
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Research topics
Keywords
semantic segmentation
(4)
instance segmentation
(3)
catastrophic forgetting
(2)
weakly supervised learning
(2)
knowledge distillation
(2)
image segmentation
(1)
self-supervised learning
(1)
continual learning
(1)
object detection
(1)
face detection
(1)
zero-shot learning
(1)
knowledge transfer
(1)
computer vision
(1)
neural architecture search
(1)
class-incremental learning
(1)
semi-supervised learning
(1)
image classification
(1)
oriented object detection
(1)
convolutional neural network
(1)
model compression
(1)
Papers
ZIM: Zero-Shot Image Matting for Anything
ICCV 2025
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
CVPR 2024
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
WACV 2024
The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
CVPR 2023
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
CVPR 2022
Learning Features with Parameter-Free Layers
ICLR 2022
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
WACV 2022
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
AAAI 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
NeurIPS 2021