research
∙
09/15/2023
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks
Compared to natural images, hyperspectral images (HSIs) consist of a lar...
share
research
∙
07/17/2023
CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing
Researchers have recently begun exploring the use of StyleGAN-based mode...
research
∙
05/10/2023
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
Event-based cameras are becoming increasingly popular for their ability ...
research
∙
04/30/2023
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
Event cameras are a new type of vision sensor that incorporates asynchro...
research
∙
04/12/2023
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
We propose VidStyleODE, a spatiotemporally continuous disentangled Video...
research
∙
11/08/2022
Detecting Euphemisms with Literal Descriptions and Visual Imagery
This paper describes our two-stage system for the Euphemism Detection sh...
research
∙
11/05/2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Giving machines the ability to imagine possible new objects or scenes fr...
research
∙
09/18/2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models
Flow-based generative super-resolution (SR) models learn to produce a di...
research
∙
03/20/2022
Stochastic Video Prediction with Structure and Motion
While stochastic video prediction models enable future prediction under ...
research
∙
08/05/2021
SLAMP: Stochastic Latent Appearance and Motion Prediction
Motion is an important cue for video prediction and often utilized by se...
research
∙
02/15/2021
A Gated Fusion Network for Dynamic Saliency Prediction
Predicting saliency in videos is a challenging problem due to complex mo...
research
∙
02/03/2021
Object and Relation Centric Representations for Push Effect Prediction
Pushing is an essential non-prehensile manipulation skill used for tasks...
research
∙
01/25/2021
Cross-lingual Visual Pre-training for Multimodal Machine Translation
Pre-trained language models have been shown to improve performance in ma...
research
∙
12/13/2020
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish
Automatic generation of video descriptions in natural language, also cal...
research
∙
12/08/2020
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions
Recent advances in Artificial Intelligence and deep learning have revive...
research
∙
06/17/2020
Burst Photography for Learning to Enhance Extremely Dark Images
Capturing images under extremely low-light conditions poses significant ...
research
∙
03/17/2020
Burst Denoising of Dark Images
Capturing images under extremely low-light conditions poses significant ...
research
∙
09/25/2019
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
Multi-contrast MRI protocols increase the level of morphological informa...
research
∙
09/19/2019
Procedural Reasoning Networks for Understanding Multimodal Procedures
This paper addresses the problem of comprehending procedural commonsense...
research
∙
09/09/2019
Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects
In recent years, graph neural networks have been successfully applied fo...
research
∙
09/04/2018
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Understanding and reasoning about cooking recipes is a fruitful research...
research
∙
08/22/2018
Manipulating Attributes of Natural Scenes via Hallucination
In this study, we explore building a two-stage framework for enabling us...
research
∙
08/12/2018
Language Guided Fashion Image Manipulation with Feature-wise Transformations
Developing techniques for editing an outfit image through natural senten...
research
∙
02/05/2018
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks
Acquiring images of the same anatomy with multiple different contrasts i...
research
∙
12/22/2016
Re-evaluating Automatic Metrics for Image Captioning
The task of generating natural language descriptions from images has rec...
research
∙
12/01/2016
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Automatic image synthesis research has been rapidly growing with deep ne...
research
∙
01/15/2016
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Automatic description generation from natural images is a challenging pr...
research
∙
07/22/2013