Mohammad Sadegh Ali Akbarian

According to our database, Mohammad Sadegh Ali Akbarian authored at least 27 papers between 2016 and 2024.

Collaborative distances:

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

2024

Look Ma, no markers: holistic performance capture without the hassle.

Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Thomas J. Cashman, Julien Valentin, Darren Cosker, Tadas Baltrusaitis

ACM Trans. Graph., December, 2024

Look Ma, no markers: holistic performance capture without the hassle.

Charlie Hewitt, Fatemehsadat Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Thomas J. Cashman, Julien P. C. Valentin, Darren Cosker, Tadas Baltrusaitis

CoRR, 2024

SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras.

Hanz Cuevas-Velasquez, Charlie Hewitt, Sadegh Aliakbarian, Tadas Baltrusaitis

Proceedings of the International Conference on 3D Vision, 2024

2023

3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing.

Balamurugan Thambiraja, Sadegh Aliakbarian, Darren Cosker, Justus Thies

CoRR, 2023

Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views.

Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang

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

Imitator: Personalized Speech-driven 3D Facial Animation.

Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian, Darren Cosker, Christian Theobalt, Justus Thies

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

HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations.

Sadegh Aliakbarian, Fatemeh Sadat Saleh, David Collier, Pashmina Cameron, Darren Cosker

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

2022

Uncertainty Inspired RGB-D Saliency Detection.

Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes

IEEE Trans. Pattern Anal. Mach. Intell., 2022

FLAG: Flow-based 3D Avatar Generation from Sparse Observations.

Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew W. Fitzgibbon, Thomas J. Cashman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network.

Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson

Mach. Vis. Appl., 2021

Contextually Plausible and Diverse 3D Human Motion Prediction.

Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking.

Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic.

Sadegh Aliakbarian

CoRR, 2020

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking.

Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould

CoRR, 2020

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network.

Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Mosaic Super-resolution via Sequential Feature Pyramid Networks.

Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould

CoRR, 2019

Learning Variations in Human Motion via Mix-and-Match Perturbation.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian

CoRR, 2019

2018

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould

IEEE Trans. Pattern Anal. Mach. Intell., 2018

VIENA2: A Driving Anticipation Dataset.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

CoRR, 2018

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation.

Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez

Proceedings of the Computer Vision - ECCV 2018, 2018

VIENA ^2 : A Driving Anticipation Dataset.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez

Proceedings of the IEEE International Conference on Computer Vision, 2017

Encouraging LSTMs to Anticipate Actions Very Early.

Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation.

Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson

CoRR, 2016

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez

Proceedings of the Computer Vision - ECCV 2016, 2016