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 004 (ECCV (8), 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)

Encouraging LSTMs to Anticipate Actions Very Early. - Mohammad Sadegh Ali Akbarian; Fatemehsadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (ICCV, 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 004 (ICCV, 2017)

VIENA ^2 : A Driving Anticipation Dataset. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (ACCV (1), 2018)

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. - Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ECCV (2), 2018)

VIENA2: A Driving Anticipation Dataset. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (CoRR, 2018)

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004; Stephen Gould (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

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)

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)

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould (CVPR, 2020)

Mosaic Super-resolution via Sequential Feature Pyramid Networks. - Mehrdad Shoeiby; Mohammad Ali Armin; Mohammad Sadegh Aliakbarian; Saeed Anwar; Lars Petersson (CVPR Workshops, 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 (WACV, 2020)

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. - Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Stephen Gould (CoRR, 2020)

Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic. - Sadegh Aliakbarian (CoRR, 2020)

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. - Fatemeh Sadat Saleh; Sadegh Aliakbarian; Hamid Rezatofighi; Mathieu Salzmann; Stephen Gould (CVPR, 2021)

Contextually Plausible and Diverse 3D Human Motion Prediction. - Sadegh Aliakbarian; Fatemeh Sadat Saleh; Lars Petersson; Stephen Gould; Mathieu Salzmann (ICCV, 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)

FLAG: Flow-based 3D Avatar Generation from Sparse Observations. - Sadegh Aliakbarian; Pashmina Cameron; Federica Bogo; Andrew W. Fitzgibbon; Thomas J. Cashman 001 (CVPR, 2022)

Uncertainty Inspired RGB-D Saliency Detection. - Jing Zhang 052; Deng-Ping Fan; Yuchao Dai; Saeed Anwar; Fatemeh Sadat Saleh; Sadegh Aliakbarian; Nick Barnes (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations. - Sadegh Aliakbarian; Fatemeh Sadat Saleh; David Collier; Pashmina Cameron; Darren Cosker (ICCV, 2023)

Imitator: Personalized Speech-driven 3D Facial Animation. - Balamurugan Thambiraja; Ikhsanul Habibie; Sadegh Aliakbarian; Darren Cosker; Christian Theobalt; Justus Thies (ICCV, 2023)

Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views. - Siwei Zhang; Qianli Ma 007; Yan Zhang 054; Sadegh Aliakbarian; Darren Cosker; Siyu Tang 001 (ICCV, 2023)

3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing. - Balamurugan Thambiraja; Sadegh Aliakbarian; Darren Cosker; Justus Thies (CoRR, 2023)

SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras. - Hanz Cuevas-Velasquez; Charlie Hewitt; Sadegh Aliakbarian; Tadas Baltrusaitis (3DV, 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 001; Julien P. C. Valentin; Darren Cosker; Tadas Baltrusaitis (CoRR, 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 001; Julien Valentin; Darren Cosker; Tadas Baltrusaitis (ACM Trans. Graph., 2024)

3Diface: Synthesizing and Editing Holistic 3D Facial Animation. - Balamurugan Thambiraja; Malte Prinzler; Sadegh Aliakbarian; Darren Cosker; Justus Thies (3DV, 2025)

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data. - Fatemeh Saleh; Sadegh Aliakbarian; Charlie Hewitt; Lohit Petikam; Xian Xiao; Antonio Criminisi; Thomas J. Cashman 001; Tadas Baltrusaitis (CoRR, 2025)