research
∙
09/18/2023
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models
While Automatic Speech Recognition (ASR) systems are widely used in many...
share
research
∙
06/13/2023
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
Despite progress in vision-based inspection algorithms, real-world indus...
research
∙
04/24/2023
Pointersect: Neural Rendering with Cloud-Ray Intersection
We propose a novel method that renders point clouds as if they are surfa...
research
∙
03/27/2023
FaceLit: Neural 3D Relightable Faces
We propose a generative framework, FaceLit, capable of generating a 3D f...
research
∙
03/27/2023
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis
Adapting generic speech recognition models to specific individuals is a ...
research
∙
03/24/2023
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
The recent amalgamation of transformer and convolutional designs has led...
research
∙
03/15/2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
We propose Dataset Reinforcement, a strategy to improve a dataset once s...
research
∙
03/08/2023
FastFill: Efficient Compatible Model Update
In many retrieval systems the original high dimensional data (e.g., imag...
research
∙
12/20/2022
RangeAugment: Efficient Online Augmentation with Range Learning
State-of-the-art automatic augmentation methods (e.g., AutoAugment and R...
research
∙
10/24/2022
I see what you hear: a vision-inspired method to localize words
This paper explores the possibility of using visual object detection tec...
research
∙
10/08/2022
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Recent advances in learning aligned multimodal representations have been...
research
∙
06/08/2022
An Improved One millisecond Mobile Backbone
Efficient neural network backbones for mobile devices are often optimize...
research
∙
03/23/2022
NeuMan: Neural Human Radiance Field from a Single Video
Photorealistic rendering and reposing of humans is important for enablin...
research
∙
12/06/2021
Forward Compatible Training for Representation Learning
In visual retrieval systems, updating the embedding model requires recom...
research
∙
10/21/2021
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
With recent advances in speech synthesis, synthetic data is becoming a v...
research
∙
10/13/2021
Data Incubation – Synthesizing Missing Data for Handwriting Recognition
In this paper, we demonstrate how a generative model can be used to buil...
research
∙
10/08/2021
Token Pooling in Vision Transformers
Despite the recent success in many applications, the high computational ...
research
∙
10/06/2021
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Controllable generative sequence models with the capability to extract a...
research
∙
06/11/2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Recent works have shown that deep neural networks benefit from multi-tas...
research
∙
11/02/2020
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
Data augmentation methods usually apply the same augmentation (or a mix ...
research
∙
11/02/2020
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
Deep Neural Network–Hidden Markov Model (DNN-HMM) based methods have bee...
research
∙
06/30/2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Knowledge distillation has been used to transfer knowledge learned by a ...
research
∙
03/09/2020
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis
We present a method to generate speech from input text and a style vecto...
research
∙
01/09/2020
Least squares binary quantization of neural networks
Quantizing weights and activations of deep neural networks results in si...
research
∙
04/02/2019
MVX-Net: Multimodal VoxelNet for 3D Object Detection
Many recent works on 3D object detection have focused on designing neura...
research
∙
12/07/2018
Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training
Nonlinear conjugate gradient (NLCG) based optimizers have shown superior...
research
∙
02/19/2018
Divide, Denoise, and Defend against Adversarial Attacks
Deep neural networks, although shown to be a successful class of machine...
research
∙
11/17/2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Accurate detection of objects in 3D point clouds is a central problem in...
research
∙
02/06/2017
Attentional Network for Visual Object Detection
We propose augmenting deep neural networks with an attention mechanism f...
research
∙
12/22/2016
Learning from Simulated and Unsupervised Images through Adversarial Training
With recent progress in graphics, it has become more tractable to train ...
research
∙
06/24/2016
Coupled Generative Adversarial Networks
We propose coupled generative adversarial network (CoGAN) for learning a...
research
∙
03/23/2016
Global-Local Face Upsampling Network
Face hallucination, which is the task of generating a high-resolution fa...
research
∙
11/13/2015
Robust Face Alignment Using a Mixture of Invariant Experts
Face alignment, which is the task of finding the locations of a set of f...
research
∙
11/12/2015
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising
We propose a novel deep network architecture for image denoising based ...
research
∙
06/15/2015
Layered Interpretation of Street View Images
We propose a layered street view model to encode both depth and semantic...
research
∙
03/09/2015
Deep Hierarchical Parsing for Semantic Segmentation
This paper proposes a learning-based approach to scene parsing inspired ...
research
∙
02/28/2015
Efficient Upsampling of Natural Images
We propose a novel method of efficient upsampling of a single natural im...
research
∙
02/14/2012
