23.6k citations
- Google (United States)US44 papers
- ETH ZurichCH19 papers
- École Polytechnique Fédérale de LausanneCH11 papers
- Technical University of MunichDE11 papers
- Ames Research CenterUS8 papers
- BMW Group (Germany)DE5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Durham UniversityGB5 papers
- Google (United Kingdom)GB5 papers
- Johns Hopkins UniversityUS5 papers
- Sapienza University of RomeIT4 papers
- University College LondonGB4 papers
132 papers
EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering
Jianchun Chen, Yinda Zhang, Rohit Pandey +3
Mixed Reality (MR) headsets promise a future of immersive telepresence where virtual humans blend indistinguishably into real or virtual surroundings. Achieving this vision require…
Semantic Recall for Vector Search
Leonardo Kuffo, Ioanna Tsakalidou, Roberta De Viti +3
We introduce Semantic Recall, a novel metric to assess the quality of approximate nearest neighbor search algorithms by considering only semantically relevant objects that are theo…
An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
Duo Lu, Helena Caminal, Manos Chatzakis +4
Filtered Vector Search (FVS) is critical for supporting semantic search and GenAI applications in modern database systems. However, existing research most often evaluates algorithm…
DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management
Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil +4
Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated impressive results for novel view synthesis with real-time rendering capabilities. However, integrating 3DGS with…
Sensible Agent: A Framework for Unobtrusive Interaction with Proactive AR Agents
Geonsun Lee, Min Xia, Nels Numan +9
Proactive AR agents promise context-aware assistance, but their interactions often rely on explicit voice prompts or responses, which can be disruptive or socially awkward. We intr…
Automated design of compound lenses with discrete-continuous optimization
Arjun Teh, Delio Vicini, Bernd Bickel +2
We introduce a method that automatically and jointly updates both continuous and discrete parameters of a compound lens design, to improve its performance in terms of sharpness, sp…