551 citations
- ETH ZurichCH2 papers
- Adobe Systems (United States)US1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Carnegie Mellon UniversityUS1 paper
- Clarkson UniversityUS1 paper
- Colonial Society of MassachusettsUS1 paper
- Fudan UniversityCN1 paper
- Hunan UniversityCN1 paper
- Kyoto UniversityJP1 paper
- Max Planck Institute for Intelligent SystemsDE1 paper
- Nanjing UniversityCN1 paper
- Ocean University of ChinaCN1 paper
13 papers
Sampling Based Scene-Space Video Processing
Felix Klose, Oliver Wang, Jean-Charles Bazin +2
Many compelling video processing effects can be achieved if per-pixel depth information and 3D camera calibrations are known. However, the success of such methods is highly depende…
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact
Moritz Geilinger, David Hahn, Jonas Zehnder +3
We present a differentiable dynamics solver that is able to handle frictional contact for rigid and deformable objects within a unified framework. Through a principled mollificatio…
Content Adaptive Optimization for Neural Image Compression
Joaquim Campos, Simon Meierhans, Abdelaziz Djelouah +1
The field of neural image compression has witnessed exciting progress as recently proposed architectures already surpass the established transform coding based approaches. While, s…
Domain Authoring Assistant for Intelligent Virtual Agents
Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann +1
Developing intelligent virtual characters has attracted a lot of attention in the recent years. The process of creating such characters often involves a team of creative authors wh…
Topic Spotting using Hierarchical Networks with Self Attention
Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru +2
Success of deep learning techniques have renewed the interest in development of dialogue systems. However, current systems struggle to have consistent long term conversations with…
Affect-Driven Dialog Generation
Pierre Colombo, Wojciech Witon, Ashutosh Modi +2
The majority of current systems for end-to-end dialog generation focus on response quality without an explicit control over the affective content of the responses. In this paper, w…