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ORCIDMohammad Sadegh Ali Akbarian
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2020 – today
- 2024
[j4]Charlie Hewitt
, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Thomas J. Cashman, Julien Valentin, Darren Cosker, Tadas Baltrusaitis:
Look Ma, no markers: holistic performance capture without the hassle. ACM Trans. Graph. 43(6): 235:1-235:12 (2024)- [c15]Hanz Cuevas-Velasquez, Charlie Hewitt, Sadegh Aliakbarian, Tadas Baltrusaitis:
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras. 3DV 2024: 1446-1455 - [i23]Hanz Cuevas-Velasquez, Charlie Hewitt, Sadegh Aliakbarian, Tadas Baltrusaitis:
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras. CoRR abs/2401.14785 (2024) - [i22]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:
Look Ma, no markers: holistic performance capture without the hassle. CoRR abs/2410.11520 (2024) - 2023
- [c14]Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang:
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views. ICCV 2023: 7955-7966 - [c13]Sadegh Aliakbarian, Fatemeh Sadat Saleh, David Collier, Pashmina Cameron, Darren Cosker:
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations. ICCV 2023: 9588-9597 - [c12]Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian, Darren Cosker, Christian Theobalt, Justus Thies:
Imitator: Personalized Speech-driven 3D Facial Animation. ICCV 2023: 20564-20574 - [i21]Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian, Darren Cosker, Christian Theobalt, Justus Thies:
Imitator: Personalized Speech-driven 3D Facial Animation. CoRR abs/2301.00023 (2023) - [i20]Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang:
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views. CoRR abs/2304.06024 (2023) - [i19]Sadegh Aliakbarian, Fatemeh Sadat Saleh, David Collier, Pashmina Cameron, Darren Cosker:
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations. CoRR abs/2308.11261 (2023) - [i18]Balamurugan Thambiraja, Sadegh Aliakbarian, Darren Cosker, Justus Thies:
3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing. CoRR abs/2312.00870 (2023) - 2022
- [j3]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5761-5779 (2022) - [c11]Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew W. Fitzgibbon, Thomas J. Cashman:
FLAG: Flow-based 3D Avatar Generation from Sparse Observations. CVPR 2022: 13243-13252 - [i17]Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew W. Fitzgibbon, Thomas J. Cashman:
FLAG: Flow-based 3D Avatar Generation from Sparse Observations. CoRR abs/2203.05789 (2022) - 2021
- [j2]Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network. Mach. Vis. Appl. 32(2): 47 (2021) - [c10]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CVPR 2021: 14329-14339 - [c9]Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann:
Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV 2021: 11313-11322 - 2020
- [c8]Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CVPR Workshops 2020: 378-387 - [c7]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR 2020: 5222-5231 - [c6]Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. WACV 2020: 2793-2802 - [i16]Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CoRR abs/2004.06853 (2020) - [i15]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould:
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. CoRR abs/2004.07482 (2020) - [i14]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. CoRR abs/2009.03075 (2020) - [i13]Sadegh Aliakbarian:
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic. CoRR abs/2010.04368 (2020) - [i12]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CoRR abs/2012.02337 (2020)
2010 – 2019
- 2019
- [i11]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian:
Learning Variations in Human Motion via Mix-and-Match Perturbation. CoRR abs/1908.00733 (2019) - [i10]Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. CoRR abs/1909.02221 (2019) - [i9]Mehrdad Shoeiby, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network. CoRR abs/1909.07577 (2019) - [i8]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. CoRR abs/1912.08521 (2019) - 2018
- [j1]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1382-1396 (2018) - [c5]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA ^2 : A Driving Anticipation Dataset. ACCV (1) 2018: 449-466 - [c4]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) 2018: 86-103 - [i7]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR abs/1807.06132 (2018) - [i6]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA2: A Driving Anticipation Dataset. CoRR abs/1810.09044 (2018) - 2017
- [c3]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
Encouraging LSTMs to Anticipate Actions Very Early. ICCV 2017: 280-289 - [c2]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. ICCV 2017: 2125-2135 - [i5]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
Encouraging LSTMs to Anticipate Actions Very Early. CoRR abs/1703.07023 (2017) - [i4]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR abs/1706.02189 (2017) - [i3]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR abs/1708.04400 (2017) - 2016
- [c1]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) 2016: 413-432 - [i2]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR abs/1609.00446 (2016) - [i1]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson:
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. CoRR abs/1611.05520 (2016)
Coauthor Index
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