no code implementations • 1 Apr 2024 • Luca Zanella, Willi Menapace, Massimiliano Mancini, Yiming Wang, Elisa Ricci
Video anomaly detection (VAD) aims to temporally locate abnormal events in a video.
no code implementations • 29 Feb 2024 • Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Ekaterina Deyneka, Hsiang-wei Chao, Byung Eun Jeon, Yuwei Fang, Hsin-Ying Lee, Jian Ren, Ming-Hsuan Yang, Sergey Tulyakov
Next, we finetune a retrieval model on a small subset where the best caption of each video is manually selected and then employ the model in the whole dataset to select the best caption as the annotation.
no code implementations • 22 Feb 2024 • Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov
Since video content is highly redundant, we argue that naively bringing advances of image models to the video generation domain reduces motion fidelity, visual quality and impairs scalability.
Ranked #2 on Text-to-Video Generation on UCF-101
no code implementations • 4 Dec 2023 • Nicola Dall'Asen, Willi Menapace, Elia Peruzzo, Enver Sangineto, Yiming Wang, Elisa Ricci
The process of painting fosters creativity and rational planning.
1 code implementation • 4 Oct 2023 • Luca Zanella, Benedetta Liberatori, Willi Menapace, Fabio Poiesi, Yiming Wang, Elisa Ricci
We tackle the complex problem of detecting and recognising anomalies in surveillance videos at the frame level, utilising only video-level supervision.
no code implementations • 31 Jul 2023 • Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci
This paper advances the state of the art in this emerging research domain by proposing the first approach for Interactive NP.
1 code implementation • CVPR 2023 • Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni
Geometric model fitting is a challenging but fundamental computer vision problem.
no code implementations • 23 Mar 2023 • Willi Menapace, Aliaksandr Siarohin, Stéphane Lathuilière, Panos Achlioptas, Vladislav Golyanik, Sergey Tulyakov, Elisa Ricci
Most captivatingly, our PGM unlocks the director's mode, where the game is played by specifying goals for the agents in the form of a prompt.
no code implementations • CVPR 2023 • Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Kyle Olszewski, Jian Ren, Hsin-Ying Lee, Menglei Chai, Sergey Tulyakov
We propose a novel approach for unsupervised 3D animation of non-rigid deformable objects.
no code implementations • ICCV 2023 • Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, Sergey Tulyakov
Toward infinite-scale 3D city synthesis, we propose a novel framework, InfiniCity, which constructs and renders an unconstrainedly large and 3D-grounded environment from random noises.
no code implementations • 24 Mar 2022 • Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik
Motion segmentation is a challenging problem that seeks to identify independent motions in two or several input images.
1 code implementation • CVPR 2022 • Willi Menapace, Stéphane Lathuilière, Aliaksandr Siarohin, Christian Theobalt, Sergey Tulyakov, Vladislav Golyanik, Elisa Ricci
We present Playable Environments - a new representation for interactive video generation and manipulation in space and time.
1 code implementation • CVPR 2021 • Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov, Aliaksandr Siarohin, Elisa Ricci
This paper introduces the unsupervised learning problem of playable video generation (PVG).
1 code implementation • ECCV 2020 • Willi Menapace, Stéphane Lathuilière, Elisa Ricci
While unsupervised domain adaptation methods based on deep architectures have achieved remarkable success in many computer vision tasks, they rely on a strong assumption, i. e. labeled source data must be available.