Thomas Paniagua

4 papers · 2020–2025 · 4 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 (15)

Venues

AAAI (1) CVPR (1) ICML (1) NeurIPS (1)

Top co-authors

Tianfu Wu (3) Ryan Grainger (2) Chinmay Savadikar (1) Greg Foderaro (1) John Lagergren (1) Xi Song (1) Mun Wai Lee (1) Naresh Cuntoor (1)

Research topics

Deep Learning (4) Computer Vision (3) Machine Learning (3) Analysis (3) Architectures (3) Learning Types · Machine Learning (2) Optimization & Theory (2) Techniques (2) Artificial Intelligence (1) Core AI (1) Generation (1) Learning Types · Deep Learning (1)

Keywords

unsupervised learning (1) image classification (1) semantic segmentation (1) vision transformer (1) cluster analysis (1) object detection (1) point cloud generation (1) attention mechanism (1) point cloud (1) feature embedding (1) quadratic programming (1) adversarial attack (1) deep neural network (1) model efficiency (1) sparse data (1) cluster learning (1) top-k attack (1) sparse deconvolution (1) 3d mnist (1) ordered top-k attack (1)

Papers

Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian ICML 2025 PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers CVPR 2023 QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks NeurIPS 2023 A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract) AAAI 2020