551 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH6 papers
- Walt Disney (Switzerland)CH5 papers
- Fudan UniversityCN3 papers
- California Institute of TechnologyUS2 papers
- Carnegie Mellon UniversityUS2 papers
- Columbia UniversityUS2 papers
- Dartmouth CollegeUS2 papers
- KTH Royal Institute of TechnologySE2 papers
- University of Colorado BoulderUS2 papers
- Adobe Systems (United States)US1 paper
- AMA Computer UniversityPH1 paper
- Apple (United States)US1 paper
47 papers
Deformable Wiener Filter for Future Video Coding
Xuewei Meng, Chuanmin Jia, Xinfeng Zhang +2
In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in…
Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning
Keqin Li, Jin Wang, Xubo Wu +7
With the rapid growth of global e-commerce, the demand for automation in the logistics industry is increasing. This study focuses on automated picking systems in warehouses, utiliz…
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…
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit
Romann M. Weber
We present an alternative perspective on the training of generative adversarial networks (GANs), showing that the training step for a GAN generator decomposes into two implicit sub…
Predicting User Engagement Status for Online Evaluation of Intelligent Assistants
Rui Meng, Zhen Yue, Alyssa Glass
Evaluation of intelligent assistants in large-scale and online settings remains an open challenge. User behavior-based online evaluation metrics have demonstrated great effectivene…
Weak Boundary Condition Enforcement for Linear Kirchhoff-Love Shells: Formulation, Error Analysis, and Verification
Joseph Benzaken, John A. Evans, Stephen McCormick +1
Stable and accurate modeling of thin shells requires proper enforcement of all types of boundary conditions. Unfortunately, for Kirchhoff-Love shells, strong enforcement of Dirichl…
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…
Rig-space Neural Rendering
Dominik Borer, Lu Yuhang, Laura Wuelfroth +2
Movie productions use high resolution 3d characters with complex proprietary rigs to create the highest quality images possible for large displays. Unfortunately, these 3d assets a…
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…
Differentiable Surface Splatting for Point-based Geometry Processing
Wang Yifan, Felice Serena, Shihao Wu +2
We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to han…
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…
Scalable multigrid methods for immersed finite element methods and immersed isogeometric analysis
F. de Prenter, C. V. Verhoosel, E. H. van Brummelen +4
Ill-conditioning of the system matrix is a well-known complication in immersed finite element methods and trimmed isogeometric analysis. Elements with small intersections with the…
Globally Continuous and Non-Markovian Activity Analysis from Videos
He Wang, Carol O'Sullivan
Automatically recognizing activities in video is a classic problem in vision and helps to understand behaviors, describe scenes and detect anomalies. We propose an unsupervised met…
Deep Generative Video Compression
Jun Han, Salvator Lombardo, Christopher Schroers +1
The usage of deep generative models for image compression has led to impressive performance gains over classical codecs while neural video compression is still in its infancy. Here…
Unsupervised Deep Representations for Learning Audience Facial Behaviors
Suman Saha, Rajitha Navarathna, Leonhard Helminger +1
In this paper, we present an unsupervised learning approach for analyzing facial behavior based on a deep generative model combined with a convolutional neural network (CNN). We jo…
Active Mini-Batch Sampling using Repulsive Point Processes
Cheng Zhang, Cengiz Öztireli, Stephan Mandt +1
The convergence speed of stochastic gradient descent (SGD) can be improved by actively selecting mini-batches. We explore sampling schemes where similar data points are less likely…
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
Simon Kallweit, Thomas Müller, Brian McWilliams +2
We present a technique for efficiently synthesizing images of atmospheric clouds using a combination of Monte Carlo integration and neural networks. The intricacies of Lorenz-Mie s…
Weakly-supervised Visual Grounding of Phrases with Linguistic Structures
Fanyi Xiao, Leonid Sigal, Yong Jae Lee
We propose a weakly-supervised approach that takes image-sentence pairs as input and learns to visually ground (i.e., localize) arbitrary linguistic phrases, in the form of spatial…
Determinantal Point Processes for Mini-Batch Diversification
Cheng Zhang, Hedvig Kjellstrom, Stephan Mandt
We study a mini-batch diversification scheme for stochastic gradient descent (SGD). While classical SGD relies on uniformly sampling data points to form a mini-batch, we propose a…
Reversible Jump Metropolis Light Transport using Inverse Mappings
Benedikt Bitterli, Wenzel Jakob, Jan Novák +1
We study Markov Chain Monte Carlo (MCMC) methods operating in primary sample space and their interactions with multiple sampling techniques. We observe that incorporating the sampl…
Learning a Unified Control Policy for Safe Falling
Visak CV Kumar, Sehoon Ha, C Karen Liu
Being able to fall safely is a necessary motor skill for humanoids performing highly dynamic tasks, such as running and jumping. We propose a new method to learn a policy that mini…
Semi-Latent GAN: Learning to generate and modify facial images from attributes
Weidong Yin, Yanwei Fu, Leonid Sigal +1
Generating and manipulating human facial images using high-level attributal controls are important and interesting problems. The models proposed in previous work can solve one of t…