Sung-Ho Bae
13 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Academic Marathon (5)
π
Interdisciplinary Bridge
π₯
Unstoppable
(5)
π
Century Club
(10)
Conferences
AAAI (3)
ICCV (3)
NIPS (3)
ACL (1)
ECCV (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
knowledge distillation
(3)
adversarial robustness
(2)
model compression
(2)
post-training quantization
(1)
semantic segmentation
(1)
unsupervised domain adaptation
(1)
image classification
(1)
domain generalization
(1)
transfer learning
(1)
image restoration
(1)
feature selection
(1)
object detection
(1)
adversarial training
(1)
neural network training
(1)
representation learning
(1)
image compression
(1)
entropy coding
(1)
semantic consistency
(1)
out-of-distribution generalization
(1)
feature alignment
(1)
Papers
I-INR: Iterative Implicit Neural Representations
AAAI 2026
Post Training Quantization for Efficient Dataset Condensation
AAAI 2026
Lightweight LLM Agent Memory with Small Language Models
ACL 2026
ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting
WACV 2025
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
AAAI 2024
Towards Efficient Image Compression Without Autoregressive Models
NIPS 2023
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree
ICCV 2023
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
NIPS 2022
GLAMD: Global and Local Attention Mask Distillation for Object Detectors
ECCV 2022
Adversarial Robustness for Unsupervised Domain Adaptation
ICCV 2021
Distilling Global and Local Logits With Densely Connected Relations
ICCV 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NIPS 2021
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
ICLR 2021