Machine Learning and Artificial Intelligence

Associated Publications

SymGAN: Orientation Estimation without Annotation for Symmetric Objects
Few-Shot Video-to-Video Synthesis
Dance to Music
Improved Precision and Recall Metric for Assessing Generative Models
High-Quality Self-Supervised Deep Image Denoising
Content-Consistent Generation of Realistic Eyes with Style
Neural Inverse Rendering of an Indoor Scene from a Single Image
Few-Shot Adaptive Gaze Estimation
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Extreme View Synthesis
Few-Shot Unsupervised Image-to-Image Translation
Neural Turtle Graphics for Modeling City Road Layouts
Meta-Sim: Learning to Generate Synthetic Datasets
Simba: Scaling Deep-Learning Inference withMulti-Chip-Module-Based Architecture
Video Stitching for Linear Camera Arrays
Few-Shot Viewpoint Estimation
Foveated AR: Dynamically-Foveated Augmented Reality Display
Matching Prescription & Visual Acuity: Towards AR for Humans
GPU-Accelerated Atari Emulation for Reinforcement Learning
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
A Style-Based Generator Architecture for Generative Adversarial Networks
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
Pixel-Adaptive Convolutional Neural Networks
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
Semantic Image Synthesis with Spatially-Adaptive Normalization
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference
High Performance Graph Convolutional Networks with Applications in Testability Analysis
PRIMAL: Power Inference using Machine Learning
NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation
Manufacturing Application-Driven Foveated Near-Eye Displays
Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model
Domain-Aware Generalized Zero-Shot Learning
Informative Object Annotations: Tell Me Something I Don't Know
Metaoptimization on a Distributed System for Deep Reinforcement Learning
Unsupervised Stylish Image Description Generation via Domain Layer Norm
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
A Fusion Approach for Multi-Frame Optical Flow Estimation
Localization-Aware Active Learning for Object Detection
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Video-to-Video Synthesis
Context-aware Synthesis and Placement of Object Instances
RouteNet: routability prediction for mixed-size designs using convolutional neural network
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Image Inpainting for Irregular Holes Using Partial Convolutions
Switchable Temporal Propagation Network
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
A Closed-form Solution to Photorealistic Image Stylization
Multimodal Unsupervised Image-to-Image Translation
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Superpixel Sampling Networks
Machine Learning and Rendering
Steerable application-adaptive near eye displays
Noise2Noise: Learning Image Restoration without Clean Data
Light-weight Head Pose Invariant Gaze Tracking
MoCoGAN: Decomposing Motion and Content for Video Generation
Learning Superpixels with Segmentation-Aware Affinity Losse
Improving Landmark Localization with Semi-Supervised Learning
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Deep Semantic Face Deblurring
Geometry-Aware Learning of Maps for Camera Localization
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Making Convolutional Networks Recurrent for Visual Sequence Learning
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Progressive Growing of GANs for Improved Quality, Stability, and Variation
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Learning Binary Residual Representations for Domain-specific Video Streaming
Learning Adaptive Parameter Tuning for Image Processing
Parallel Complexity of Forward and Backward Propagation
Machine Learning and Integral Equations
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Learning Affinity via Spatial Propagation Networks
Unsupervised Image-to-Image Translation Networks
Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications
Parallel Jaccard and Related Graph Clustering Techniques
Learning to Super-Resolve Blurry Face and Text Images
A Lightweight Approach for On-the-Fly Reflectance Estimation
Group online adaptive learning
Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion
Parallel Modularity Clustering
Pruning Convolutional Neural Networks for Resource Efficient Inference
Context-aware Captions from Context-agnostic Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Loss Functions for Image Restoration with Neural Networks
Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Temporal Ensembling for Semi-Supervised Learning
Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
Parallel Spectral Graph Partitioning
Compressing Neural Networks with the Hashing Trick
Hand Gesture Recognition with 3D Convolutional Neural Networks
Multi-sensor System for Driver’s Hand-Gesture Recognition
Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing
Adaptive Segmentation based on a Learned Quality Metric
Machine Learning for Adaptive Bilateral Filtering
cuDNN: Efficient Primitives for Deep Learning

Researchers

Aamer Jaleel
Alex Keller
Angshuman Parashar
Anima Anandkumar
Animesh Garg
Anjul Patney
Arash Vahdat
Benjamin Eckart
Benjamin Klenk
Byron Boots
Chris Paxton
Craig Kolb
Cris Cecka
David Nellans
Deqing Sun
Dieter Fox
Eiman Ebrahimi
Evgeny Bolotin
Fabio Ramos
Gal Chechik
Haggai Maron
Iuri Frosio
Jacob Munkberg
Jan Kautz
Jan Novák
Jeff Smith
Jim Nilsson
Jinwei Gu
Joohwan Kim
Josef Spjut
Kaan Akşit
Ken Dahm
Kihwan Kim
Marco Salvi
Mark Ren
Matthijs Van keirsbilck
Michael Stengel
Miika Aittala
Mike O'Connor
Ming-Yu Liu
Nathan Ratliff
Nathaniel Pinckney
Nikolaus Binder
Niladrish Chatterjee
Orazio Gallo
Priyanka Raina
Rowland O'Flaherty
Samuli Laine
Saurav Muralidharan
Shalini De Mello
Sifei Liu
Siva Hari
Sophia Shao
Stephen Tyree
Steve Keckler
Tero Karras
Thomas Müller
Timo Aila
Ting-Chun Wang
Tomas Akenine-Möller
Umar Iqbal
Varun Jampani
Wei Yang
William Dally
Wonmin Byeon
Xiaodong Yang
Yu-Hsin Chen
Yu-Wei Chao
Yuke Zhu
Zhiding Yu