Fatemehsadat Saleh

According to our database, Fatemehsadat Saleh authored at least 25 papers between 2016 and 2023.

Collaborative distances:

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

2023

Effective Self-supervised Pre-training on Low-compute Networks without Distillation.

Fuwen Tan, Fatemeh Sadat Saleh, Brais Martínez

Proceedings of the Eleventh International Conference on Learning Representations, 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

iBoot: Image-bootstrapped Self-Supervised Video Representation Learning.

Fatemeh Sadat Saleh, Fuwen Tan, Adrian Bulat, Georgios Tzimiropoulos, Brais Martínez

CoRR, 2022

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, Hamid Rezatofighi

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

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, Hamid Rezatofighi

CoRR, 2021

The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose.

Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez Opazo, Hongdong Li, Stephen Gould

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

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking.

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

CoRR, 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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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, Hamid Rezatofighi

Proceedings of the Computer Vision - ECCV 2020, 2020

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders.

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

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

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

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Stephen Gould

CoRR, 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, Jose M. Alvarez

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, Jose M. Alvarez

Proceedings of the Computer Vision - ECCV 2016, 2016