Hsueh-Ti Derek Liu

4 papers · 2019–2025 · 3 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

ICCV (2) ICLR (1) ICML (1)

Top co-authors

Evangelos Kalogerakis (1) Pradyumn Goyal (1) Alec Jacobson (1) Mubbasir Kapadia (1) Tinghui Zhou (1) Ming Lin (1) Derek Nowrouzezahrai (1) Kangle Deng (1) Dmitry Petrov (1) Michael Tao (1)

Research topics

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

Keywords

transformer architecture (1) image classification (1) vision transformer (1) adversarial robustness (1) 3d shape generation (1) adversarial attack (1) autoregressive model (1) variational autoencoder (1) differentiable rendering (1) 3d shape (1) adaptive tokenization (1) geometric pre-training (1) articulation prediction (1) part mobility (1) manifold surface (1) quadrilateral mesh generation (1) parametric adversary (1) invariant properties (1) tangent vector fields (1) triangle meshes (1)

Papers

Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization ICCV 2025 GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes ICCV 2025 An Intrinsic Vector Heat Network ICML 2024 Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer ICLR 2019