research
∙
03/28/2022
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars
A promising direction for recovering the lost information in low-resolut...
share
research
∙
06/03/2021
APES: Audiovisual Person Search in Untrimmed Video
Humans are arguably one of the most important subjects in video streams,...
research
∙
04/06/2021
Content-Aware GAN Compression
Generative adversarial networks (GANs), e.g., StyleGAN2, play a vital ro...
research
∙
12/09/2020
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
We introduce a neural network-based method to denoise pairs of images ta...
research
∙
11/04/2020
Deep Image Compositing
Image compositing is a task of combining regions from different images t...
research
∙
08/03/2020
Shape Adaptor: A Learnable Resizing Module
We present a novel resizing module for neural networks: shape adaptor, a...
research
∙
07/07/2020
Real-time Semantic Segmentation with Fast Attention
In deep CNN based models for semantic segmentation, high accuracy relies...
research
∙
05/20/2020
Active Speakers in Context
Current methods for active speak er detection focus on modeling short-te...
research
∙
04/03/2020
Temporally Distributed Networks for Fast Video Segmentation
We present TDNet, a temporally distributed network designed for fast and...
research
∙
04/03/2020
Temporally Distributed Networks for Fast Video Semantic Segmentation
We present TDNet, a temporally distributed network designed for fast and...
research
∙
03/27/2020
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
We present a method to improve the visual realism of low-quality, synthe...
research
∙
12/09/2019
Basis Prediction Networks for Effective Burst Denoising with Large Kernels
Bursts of images exhibit significant self-similarity across both time an...
research
∙
09/15/2019
Scaling Object Detection by Transferring Classification Weights
Large scale object detection datasets are constantly increasing their si...
research
∙
07/30/2019
Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
We propose a novel multi-stream architecture and training methodology th...
research
∙
05/02/2019
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
We present the 2019 DAVIS Challenge on Video Object Segmentation, the th...
research
∙
04/25/2019
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
We present a fully data-driven method to compute depth from diverse mono...
research
∙
04/09/2018
A Fully Progressive Approach to Single-Image Super-Resolution
Recent deep learning approaches to single image super-resolution have ac...
research
∙
04/04/2018
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Most recent semantic segmentation methods train deep convolutional neura...
research
∙
03/26/2018
On Regularized Losses for Weakly-supervised CNN Segmentation
Minimization of regularized losses is a principled approach to weak supe...
research
∙
03/01/2018
The 2018 DAVIS Challenge on Video Object Segmentation
We present the 2018 DAVIS Challenge on Video Object Segmentation, a publ...
research
∙
04/03/2017
The 2017 DAVIS Challenge on Video Object Segmentation
We present the 2017 DAVIS Challenge, a public competition specifically d...
research
∙
12/08/2016
