Tejas D. Kulkarni

3 papers · 2015–2017 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

CVPR (2) JMLR (1)

Top co-authors

Joshua B. Tenenbaum (2) Haibin Huang (1) Ardavan Saeedi (1) Jiajun Wu (1) Samuel J. Gershman (1) Pushmeet Kohli (1) Amir Arsalan Soltani (1) Vikash Mansinghka (1) Vikash K. Mansinghka (1)

Research topics

Computer Vision (2) Analysis (2) Artificial Intelligence (1) Deep Learning (1) Machine Learning (1) Bayesian & Probabilistic (1) Generation (1) Models (1) Optimization & Theory (1)

Keywords

generative model (2) variational inference (1) scene understanding (1) 3d shape generation (1) 3d vision (1) partition function (1) multi-view learning (1) probabilistic programming (1) monte carlo method (1) particle approximation (1) depth map (1) multi-view representation (1) 3d reconstruction (1) monte carlo inference (1)

Papers

Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks CVPR 2017 Variational Particle Approximations JMLR 2017 Picture: A Probabilistic Programming Language for Scene Perception CVPR 2015