| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | J | jnl |
CoRR
|
| 2024 | J | jnl |
fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence.
ACM Trans. Graph.
|
| 2024 | J | jnl |
CoRR
|
| 2023 | — | conf |
SIGGRAPH Courses
|
| 2023 | — | conf |
SIGGRAPH Talks
|
| 2022 | — | conf |
Eurographics (Short Papers)
|
| 2021 | J | jnl |
ACM Trans. Graph.
|
| 2020 | — | conf |
SIGGRAPH Talks
|
| 2017 | J | jnl |
ACM Trans. Graph.
|
| 2017 | — | conf |
SIGGRAPH Talks
|
| 2016 | J | jnl |
ACM Trans. Graph.
|
| 2016 | — | — |
|
| 2011 | J | jnl |
Acta Cybern.
|
| 2010 | — | ch. |
GPU Pro
|
| 2008 | — | conf |
Eurographics (Short Papers)
|