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)

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. - Jing Zhang 052; Deng-Ping Fan; Yuchao Dai; Saeed Anwar; Fatemeh Sadat Saleh; Tong Zhang 023; Nick Barnes (CVPR, 2020)

Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. - Mahsa Ehsanpour; Alireza Abedin; Fatemeh Sadat Saleh; Javen Shi; Ian D. Reid 001; Hamid Rezatofighi (ECCV (9), 2020)

Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention. - Cristian Rodriguez Opazo; Edison Marrese-Taylor; Fatemeh Sadat Saleh; Hongdong Li; Stephen Gould (WACV, 2020)

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

The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose. - Yizhak Ben-Shabat; Xin Yu 002; Fatemeh Sadat Saleh; Dylan Campbell; Cristian Rodriguez Opazo; Hongdong Li; Stephen Gould (WACV, 2021)

JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection. - Mahsa Ehsanpour; Fatemeh Sadat Saleh; Silvio Savarese; Ian D. Reid 001; Hamid Rezatofighi (CoRR, 2021)

JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection. - Mahsa Ehsanpour; Fatemeh Sadat Saleh; Silvio Savarese; Ian D. Reid 001; Hamid Rezatofighi (CVPR, 2022)

iBoot: Image-bootstrapped Self-Supervised Video Representation Learning. - Fatemeh Sadat Saleh; Fuwen Tan; Adrian Bulat; Georgios Tzimiropoulos; Brais Martínez (CoRR, 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)

Effective Self-supervised Pre-training on Low-compute Networks without Distillation. - Fuwen Tan; Fatemeh Sadat Saleh; Brais Martínez (ICLR, 2023)

Eyelid Fold Consistency in Facial Modeling. - Lohit Petikam; Charlie Hewitt; Fatemeh Saleh; Tadas Baltrusaitis (SIGGRAPH Asia Technical Communications, 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)

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)