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Automated Deep Photo Style Transfer
Photorealism is a complex concept that cannot easily be formulated mathematically. Deep Photo Style Transfer is an attempt to transfer the style of a reference image to a... -
HMDB51-DVS
A neuromorphic vision sensing (NVS) device represents visual information as sequences of asynchronous discrete events (a.k.a., “spikes”) in response to changes in scene... -
UCF101-DVS
A neuromorphic vision sensing (NVS) device represents visual information as sequences of asynchronous discrete events (a.k.a., “spikes”) in response to changes in scene... -
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
A neuromorphic vision sensing (NVS) device represents visual information as sequences of asynchronous discrete events (a.k.a., “spikes”) in response to changes in scene... -
Cross-view image geolocalization
Cross-view image geolocalization. -
Localizing and orienting street views using overhead imagery
Localizing and orienting street views using overhead imagery. -
Cross-View Image Synthesis
Cross-view image synthesis aims to translate images between two distinct views, such as synthesizing ground images from aerial images, and vice versa. -
NYUv2 dataset
The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes. -
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of F...
The dataset used in the paper Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. The dataset consists of 30 unique 3D object models... -
DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors
DP-NeRF is a novel NeRF framework from blurry inputs, that imposes two physical priors to effectively construct a clean NeRF. -
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data... -
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
A new dataset that contains demanding illumination conditions and provides a rich set of sensory data for autonomous driving. -
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators -
LLFF dataset
The dataset used in the paper is the LLFF dataset, which contains real-world scenes and is used for training and testing the proposed neural radiance field model. -
LiTS17 and SLiver07 datasets
The LiTS17 and SLiver07 datasets are used for training and testing the proposed SAR-U-Net method. -
CityScapes dataset
Monocular depth estimation dataset -
Brain-Score
A large-scale benchmark for evaluating the brain-likeness of neural networks.
