activity
20152026
most citedDistribution Matching Losses Can Hallucinate Features in Medical Image Translation

328 citations · 510 across the 21 of their papers we have counts for

collaborators

26 papers

cs.CV2026

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising

Mohammad Mohammadi, Sina Honari, Stavros Tsogkas +6

Raw images inherently suffer from noise due to the stochastic nature of light and sensor hardware imperfections. As real photon counts fall, the ratio of this noise to the signal d…

cs.CV2026

Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration

Amirhossein Kazerouni, Maitreya Suin, Tristan Aumentado-Armstrong +6

Recent advances in image restoration have enabled high-fidelity recovery of faces from degraded inputs using reference-based face restoration models (Ref-FR). However, such methods…

cs.CV2024

Towards Unsupervised Blind Face Restoration using Diffusion Prior

Tianshu Kuai, Sina Honari, Igor Gilitschenski +1

Blind face restoration methods have shown remarkable performance, particularly when trained on large-scale synthetic datasets with supervised learning. These datasets are often gen…

cs.CV2024

Occlusion Resilient 3D Human Pose Estimation

Soumava Kumar Roy, Ilia Badanin, Sina Honari +1

Occlusions remain one of the key challenges in 3D body pose estimation from single-camera video sequences. Temporal consistency has been extensively used to mitigate their impact b…

stat.ML2022

Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests

Christopher Beckham, Martin Weiss, Florian Golemo +3

Different types of mental rotation tests have been used extensively in psychology to understand human visual reasoning and perception. Understanding what an object or visual scene…

cs.CV2022★ 1 cited

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains

Krzysztof Lis, Matthias Rottmann, Annika Mütze +3

In addition to impressive performance, vision transformers have demonstrated remarkable abilities to encode information they were not trained to extract. For example, this informat…