Dae Ung Jo

4 papers · 2019–2023 · 2 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🚀 Conference Pioneer

Venues

AAAI (3) NeurIPS (1)

Top co-authors

Jin Young Choi (3) Jongin Lim (2) Jongwon Choi (2) ByeongJu Lee (1) Sujin Jang (1) Daehyun Ji (1) Haanju Yoo (1) Daeho Um (1) Byeongho Heo (1) Dongwook Lee (1)

Research topics

Deep Learning (4) Machine Learning (4) Learning Types · Deep Learning (4) Learning Types · Machine Learning (3) Computer Vision (2) Analysis (2) Artificial Intelligence (1) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1) Domain-Specific (1) Models (1) Techniques (1)

Keywords

unsupervised learning (1) temporal modeling (1) transfer learning (1) knowledge transfer (1) knowledge distillation (1) multimodal learning (1) cross-modal learning (1) person re-identification (1) associative learning (1) semi-supervised classification (1) 3d object detection (1) convolutional neural network (1) variational autoencoder (1) node classification (1) gradient vanishing (1) multi-view image (1) multi-view camera (1) cross-modal distillation (1) teacher-student learning (1) pretrained network (1)

Papers

STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection NeurIPS 2023 Class-Attentive Diffusion Network for Semi-Supervised Classification AAAI 2021 Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators AAAI 2020 Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification AAAI 2019