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09/12/2023
Efficient Graphics Representation with Differentiable Indirection
We introduce differentiable indirection – a novel learned primitive that...
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05/26/2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Training multiple agents to coordinate is an important problem with appl...
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03/14/2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
We consider the task of generating realistic 3D shapes, which is useful ...
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01/12/2023
Neural Shadow Mapping
We present a neural extension of basic shadow mapping for fast, high qua...
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11/02/2022
Attention-based Neural Cellular Automata
Recent extensions of Cellular Automata (CA) have incorporated key ideas ...
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11/01/2022
Learning Neural Implicit Representations with Surface Signal Parameterizations
Neural implicit surface representations have recently emerged as popular...
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10/24/2022
Learning Latent Structural Causal Models
Causal learning has long concerned itself with the accurate recovery of ...
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10/03/2022
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction
Multi-view implicit scene reconstruction methods have become increasingl...
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07/12/2022
Latent Variable Models for Bayesian Causal Discovery
Learning predictors that do not rely on spurious correlations involves b...
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03/30/2022
Challenges in leveraging GANs for few-shot data augmentation
In this paper, we explore the use of GAN-based few-shot data augmentatio...
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12/14/2021
Learning to Guide and to Be Guided in the Architect-Builder Problem
We are interested in interactive agents that learn to coordinate, namely...
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08/21/2021
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Recent work has made significant progress in learning object meshes with...
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08/11/2021
Dynamic Diffuse Global Illumination Resampling
Interactive global illumination remains a challenge in radiometrically- ...
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03/28/2021
Countering Racial Bias in Computer Graphics Research
Current computer graphics research practices contain racial biases that ...
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02/09/2021
Robust Motion In-betweening
In this work we present a novel, robust transition generation technique ...
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01/26/2021
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Neural signed distance functions (SDFs) are emerging as an effective rep...
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11/06/2020
Affinity LCFCN: Learning to Segment Fish with Weak Supervision
Aquaculture industries rely on the availability of accurate fish body me...
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10/07/2020
Regularized Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) aims to facilitate a learner's abil...
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09/17/2020
On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes
A neural implicit outputs a number indicating whether the given query po...
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07/04/2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Acquiring count annotations generally requires less human effort than po...
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06/23/2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Adversarial imitation learning alternates between learning a discriminat...
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06/02/2020
Surprisal-Triggered Conditional Computation with Neural Networks
Autoregressive neural network models have been used successfully for seq...
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03/23/2020
Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
We infer and generate three-dimensional (3D) scene information from a si...
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02/24/2020
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
Multi-agent adversarial inverse reinforcement learning (MA-AIRL) is a re...
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11/09/2019
Robo-PlaNet: Learning to Poke in a Day
Recently, the Deep Planning Network (PlaNet) approach was introduced as ...
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10/29/2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Millions of blind and visually-impaired (BVI) people navigate urban envi...
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08/06/2019
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning
A central challenge in multi-agent reinforcement learning is the inducti...
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08/08/2018
Adversarial Geometry and Lighting using a Differentiable Renderer
Many machine learning classifiers are vulnerable to adversarial attacks,...
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08/08/2018