Akira Nakagawa

3 papers · 2020–2023 · 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 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)

Venues

ICML (2) WACV (1)

Top co-authors

Keizo Kato (2) So Hasegawa (1) Masayuki Hiromoto (1) Tomotake Sasaki (1) Jing Zhou (1) Yuhei Umeda (1) Taiji Suzuki (1)

Research topics

Computer Vision (2) Deep Learning (2) Machine Learning (2) Analysis (2) Architectures (1) Core Methods (1) Learning Types (1) Models (1) Optimization & Theory (1)

Keywords

variational autoencoder (2) isometric embedding (2) contrastive learning (1) anomaly detection (1) self-supervised learning (1) scene graph generation (1) latent variable (1) rate-distortion theory (1) latent space embedding (1) rate-distortion optimization (1) predicate representation (1) information theory (1) relational encoder (1) dimensionality reduction (1)

Papers

Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning WACV 2023 Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021 Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space ICML 2020