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Sung-Ho Bae

14 papers · 2021–2026 · 8 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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+3 more ↓ πŸ—ΊοΈ Taxonomy Completionist (25) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🧬 Topic Evolution
πŸ—ƒοΈ Keyword Collector (61) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze

Venues

AAAI (3) ICCV (3) NeurIPS (3) ACL (1) CVPR (1) ECCV (1) ICLR (1) WACV (1)

Top co-authors

Fengwei Zhou (3) Muhammad Salman Ali (3) Chaoning Zhang (3) Zhenguo Li (3) Soo Ye Kim (2) Ali Haider (2) Maryam Qamar (2) Younho Jang (2) Awais Muhammad (2) Wheemyung Shin (2)

Research topics

Machine Learning (9) Application Areas (8) Deep Learning (6) Artificial Intelligence (5) Computer Vision (4) Core AI (4) Analysis (2) Architectures (2) Learning Paradigms (2) Learning Types (2) Models (2) Processing (2) Natural Language Processing (1) Domain-Specific (1) Generation (1)

Keywords

knowledge distillation (3) image classification (2) model compression (2) adversarial robustness (2) representation learning (2) data augmentation (1) semantic segmentation (1) post-training quantization (1) image restoration (1) semantic consistency (1) feature selection (1) object detection (1) transfer learning (1) image compression (1) adversarial training (1) unsupervised domain adaptation (1) domain generalization (1) entropy coding (1) neural network training (1) feature alignment (1)

Papers

Experience Transfer for Multimodal LLM Agents in Minecraft Game CVPR 2026 I-INR: Iterative Implicit Neural Representations AAAI 2026 Lightweight LLM Agent Memory with Small Language Models ACL 2026 Post Training Quantization for Efficient Dataset Condensation AAAI 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 MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree ICCV 2023 Towards Efficient Image Compression Without Autoregressive Models NeurIPS 2023 GLAMD: Global and Local Attention Mask Distillation for Object Detectors ECCV 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization NeurIPS 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 NeurIPS 2021 SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization ICLR 2021