David Schneider

4 papers · 2023–2026 · 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 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13)

Venues

WACV (2) AAAI (1) NeurIPS (1)

Top co-authors

Rainer Stiefelhagen (3) M. Saquib Sarfraz (2) Kunyu Peng (2) Jurgen Beyerer (2) Zeyun Zhong (2) Manuel Martin (1) David J. Lerch (1) Simon Reiß (1) Kailun Yang (1) Cheng Yin (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Architectures (3) Core AI (3) Computer Vision (2) Machine Learning (2) Analysis (2) Core Methods (2) Interdisciplinary (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Science (1)

Keywords

temporal modeling (2) zero-shot learning (1) action recognition (1) anomaly detection (1) pose estimation (1) multimodal learning (1) human pose estimation (1) human motion (1) motion capture (1) distance metric learning (1) open-set learning (1) feature fusion (1) open-set recognition (1) linear attention (1) cross-modality learning (1) muscle activation (1) biomechanical simulation (1) pose sequence (1) action anticipation (1) memory module (1)

Papers

Scalable Video Action Anticipation with Cross Linear Attentive Memory WACV 2026 Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations NeurIPS 2024 Navigating Open Set Scenarios for Skeleton-Based Action Recognition AAAI 2024 Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation WACV 2023