Sepehr Sameni

According to our database, Sepehr Sameni authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MIRAGE: Unsupervised Single Image to Novel View Generation with Cross Attention Guidance.

Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

ViDROP: Video Dense Representation through Spatio-Temporal Sparsity.

Sepehr Sameni, Simon Jenni, Paolo Favaro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation.

Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Enabling Visual Composition and Animation in Unsupervised Video Generation.

Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro

CoRR, 2024

Building Vision-Language Models on Solid Foundations with Masked Distillation.

Sepehr Sameni, Kushal Kafle, Hao Tan, Simon Jenni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multi-View Unsupervised Image Generation with Cross Attention Guidance.

Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro

CoRR, 2023

Spatio-Temporal Crop Aggregation for Video Representation Learning.

Sepehr Sameni, Simon Jenni, Paolo Favaro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Video Prediction via Sparsely Conditioned Flow Matching.

Aram Davtyan, Sepehr Sameni, Paolo Favaro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Representation Learning by Detecting Incorrect Location Embeddings.

Sepehr Sameni, Simon Jenni, Paolo Favaro

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Randomized Conditional Flow Matching for Video Prediction.

Aram Davtyan, Sepehr Sameni, Paolo Favaro

CoRR, 2022

DILEMMA: Self-Supervised Shape and Texture Learning with Transformers.

Sepehr Sameni, Simon Jenni, Paolo Favaro

CoRR, 2022

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity.

Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

KaFiStO: A Kalman Filtering Framework for Stochastic Optimization.

Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

CoRR, 2021