연구원 소식 곽노준 교수 등 서울대에서 CVPR 2018에 논문 5편 발표
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5 Papers were accepted at Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
CVPR 2018
- Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors (노준형, 이수찬, 김범수, 김건희)
- A Memory Network Approach for Story-based Temporal Summarization of 360° Videos (이상호, 성진영, 유영재, 김건희)
- NestedNet: Learning Nested Sparse Structures in Deep Neural Networks (김은우, 안찬호, 오성회)
- Image Restoration by Estimating Frequency Distribution of Local Patches (유재영, 이상호, 곽노준)
- Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams (김대식, 유영준, 김재수, 이상국, 곽노준)
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