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09/11/2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation
Autonomous vehicles (AV) require that neural networks used for perceptio...
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08/10/2023
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
This work considers gradient-based mesh optimization, where we iterative...
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07/14/2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
In this work, we introduce a self-supervised feature representation lear...
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05/02/2023
Neural LiDAR Fields for Novel View Synthesis
We present Neural Fields for LiDAR (NFL), a method to optimise a neural ...
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04/19/2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Automatically generating high-quality real world 3D scenes is of enormou...
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04/18/2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Latent Diffusion Models (LDMs) enable high-quality image synthesis while...
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04/06/2023
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes
Reconstruction and intrinsic decomposition of scenes from captured image...
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02/23/2023
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Humans can easily imagine the complete 3D geometry of occluded objects a...
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02/09/2023
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
Sim2Real domain adaptation (DA) research focuses on the constrained sett...
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02/02/2023
Synthesizing Physical Character-Scene Interactions
Movement is how people interact with and affect their environment. For r...
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01/31/2023
PADL: Language-Directed Physics-Based Character Control
Developing systems that can synthesize natural and life-like motions for...
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11/18/2022
Magic3D: High-Resolution Text-to-3D Content Creation
DreamFusion has recently demonstrated the utility of a pre-trained text-...
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10/12/2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Denoising diffusion models (DDMs) have shown promising results in 3D poi...
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10/06/2022
XDGAN: Multi-Modal 3D Shape Generation in 2D Space
Generative models for 2D images has recently seen tremendous progress in...
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10/03/2022
Optimizing Data Collection for Machine Learning
Modern deep learning systems require huge data sets to achieve impressiv...
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09/26/2022
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
We introduce VISOR, a new dataset of pixel annotations and a benchmark s...
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09/22/2022
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
As several industries are moving towards modeling massive 3D virtual wor...
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08/19/2022
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
We consider the challenging problem of outdoor lighting estimation for t...
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08/18/2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
We propose to utilize self-supervised techniques in the 2D domain for fi...
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07/05/2022
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention
Existing transformer-based image backbones typically propagate feature i...
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07/04/2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
Given a small training data set and a learning algorithm, how much more ...
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06/19/2022
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Absence of large-scale labeled data in the practitioner's target domain ...
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06/15/2022
Variable Bitrate Neural Fields
Neural approximations of scalar and vector fields, such as signed distan...
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06/06/2022
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Modern image generative models show remarkable sample quality when train...
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05/04/2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
The incredible feats of athleticism demonstrated by humans are made poss...
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04/11/2022
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation
In this paper, we propose M^2BEV, a unified framework that jointly perfo...
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04/06/2022
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
In this paper, we address the problem of texture representation for 3D s...
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02/16/2022
Learning Smooth Neural Functions via Lipschitz Regularization
Neural implicit fields have recently emerged as a useful representation ...
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02/10/2022
Domain Adversarial Training: A Game Perspective
The dominant line of work in domain adaptation has focused on learning i...
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02/08/2022
Causal Scene BERT: Improving object detection by searching for challenging groups of data
Modern computer vision applications rely on learning-based perception mo...
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01/20/2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Standard Federated Learning (FL) techniques are limited to clients with ...
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01/12/2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Annotating images with pixel-wise labels is a time-consuming and costly ...
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12/09/2021
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
Evaluating and improving planning for autonomous vehicles requires scala...
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12/02/2021
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting
We present HIPNet, a neural implicit pose network trained on multiple su...
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11/26/2021
Neural Fields as Learnable Kernels for 3D Reconstruction
We present Neural Kernel Fields: a novel method for reconstructing impli...
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11/24/2021
Extracting Triangular 3D Models, Materials, and Lighting From Images
We present an efficient method for joint optimization of topology, mater...
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11/15/2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
Autonomous driving relies on a huge volume of real-world data to be labe...
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11/08/2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
We introduce DMTet, a deep 3D conditional generative model that can synt...
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11/04/2021
EditGAN: High-Precision Semantic Image Editing
Generative adversarial networks (GANs) have recently found applications ...
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11/01/2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Although machine learning models trained on massive data have led to bre...
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10/30/2021
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
We consider the challenging problem of predicting intrinsic object prope...
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10/07/2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
The ability to synthesize realistic and diverse indoor furniture layouts...
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09/21/2021
Physics-based Human Motion Estimation and Synthesis from Videos
Human motion synthesis is an important problem with applications in grap...
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09/13/2021
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
In this work, we address the problem of jointly estimating albedo, norma...
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08/30/2021
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
We propose a method to create plausible geometric and texture style vari...
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06/25/2021
NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation
In this paper, we present a non-parametric structured latent variable mo...
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06/21/2021
f-Domain-Adversarial Learning: Theory and Algorithms
Unsupervised domain adaptation is used in many machine learning applicat...
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06/05/2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Given restrictions on the availability of data, active learning is the p...
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04/30/2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation
Realistic simulators are critical for training and verifying robotics sy...
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04/26/2021