5.7k citations
- University of HelsinkiFI135 papers
- Aalto UniversityFI108 papers
- University of ManchesterGB10 papers
- Helsinki Institute of PhysicsFI7 papers
- Institute for Molecular Medicine FinlandFI6 papers
- University College LondonGB6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- KTH Royal Institute of TechnologySE5 papers
- Tampere UniversityFI5 papers
- University of OsloNO5 papers
- University of VeronaIT5 papers
- Finnish Institute for Health and WelfareFI4 papers
258 papers
Point & Grasp: Flexible Selection of Out-of-Reach Objects Through Probabilistic Cue Integration
Xuejing Luo, Hee-Seung Moon, Christian Holz +1
Selecting out-of-reach objects is a fundamental task in mixed reality (MR). Existing methods rely on a single cue or deterministically fuse multiple cues, leading to performance de…
Adaptive Prompt Elicitation for Text-to-Image Generation
Xinyi Wen, Lena Hegemann, Xiaofu Jin +2
Aligning text-to-image generation with user intent remains challenging, as users frequently provide ambiguous inputs and struggle with model idiosyncrasies. We propose Adaptive Pro…
Compressed Dictionary Matching on Run-Length Encoded Strings
Philip Bille, Inge Li Gørtz, Simon J. Puglisi +1
Given a set of pattern strings and a text string , the classic dictionary matching problem is to report all occurrences of each pattern in…
Fair Diversity Maximization with Few Representatives
Florian Adriaens, Nikolaj Tatti
Diversity maximization problem is a well-studied problem where the goal is to find diverse items. Fair diversity maximization aims to select a diverse subset of items from…
Max-Min Diversification with Asymmetric Distances
Iiro Kumpulainen, Florian Adriaens, Nikolaj Tatti
One of the most well-known and simplest models for diversity maximization is the Max-Min Diversification (MMD) model, which has been extensively studied in the data mining and data…
Dense Subgraph Discovery Meets Strong Triadic Closure
Chamalee Wickrama Arachchi, Iiro Kumpulainen, Nikolaj Tatti
Finding dense subgraphs is a core problem with numerous graph mining applications such as community detection in social networks and anomaly detection. However, in many real-world…