activity
20112023
most citedLearning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

116 citations · 371 across the 28 of their papers we have counts for

collaborators

34 papers

eess.IV2023★ 40 cited

Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks

Orhan Torun, Seniha Esen Yuksel, Erkut Erdem +2

Compared to natural images, hyperspectral images (HSIs) consist of a large number of bands, with each band capturing different spectral information from a certain wavelength, even…

cs.CV2023

Spherical Vision Transformer for 360-degree Video Saliency Prediction

Mert Cokelek, Nevrez Imamoglu, Cagri Ozcinar +2

The growing interest in omnidirectional videos (ODVs) that capture the full field-of-view (FOV) has gained 360-degree saliency prediction importance in computer vision. However, pr…

cs.CV2023★ 1 cited

CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing

Ahmet Canberk Baykal, Abdul Basit Anees, Duygu Ceylan +3

Researchers have recently begun exploring the use of StyleGAN-based models for real image editing. One particularly interesting application is using natural language descriptions t…

cs.CV2023★ 43 cited

HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks

Burak Ercan, Onur Eker, Canberk Saglam +2

Event-based cameras are becoming increasingly popular for their ability to capture high-speed motion with low latency and high dynamic range. However, generating videos from events…

cs.CV2023★ 20 cited

EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction

Burak Ercan, Onur Eker, Aykut Erdem +1

Event cameras are a new type of vision sensor that incorporates asynchronous and independent pixels, offering advantages over traditional frame-based cameras such as high dynamic r…

cs.CV2023

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs

Moayed Haji Ali, Andrew Bond, Tolga Birdal +4

We propose , a spatiotemporally continuous disentangled eo representation based upon GAN and Neural-s. Effective t…