Fatemeh Saleh

Senior Research Scientist

출판물

자료 보기:

- DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
  
  Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt, Lohit Petikam, Xiao-Xian, Antonio Criminisi, Tom Cashman, Tadas Baltrusaitis
  
  2025 International Conference on Computer Vision | October 2025
  
  Publication Preprint 동영상
- Eyelid Fold Consistency in Facial Modeling
  
  Lohit Petikam, Charlie Hewitt, Fatemeh Saleh, Tadas Baltrusaitis
  
  SIGGRAPH Asia | December 2024
  
  Publication DOI
- Look Ma, no markers: holistic performance capture without the hassle
  
  Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Tom Cashman, Julien Valentin, Prof. Darren Cosker, Tadas Baltrusaitis
  
  ACM Transactions on Graphics | December 2024, 제 36 권(6): pp. 235:1-235:12
  
  Publication DOI 동영상
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
  
  Sadegh Aliakbarian, Fatemeh Saleh, David Collier, Pashmina Cameron, Prof. Darren Cosker
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- Effective Self-supervised Pre-training on Low-compute networks without Distillation
  
  Fuwen Tan, Fatemeh Saleh, Brais Martínez
  
  ICLR 2023 | September 2023
  
  Publication
- JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
  
  Mahsa Ehsanpour, Fatemeh Saleh, S. Savarese, I. Reid, Hamid Rezatofighi
  
  CVPR 2022 | June 2022
  
  Publication
- Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
  
  Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould
  
  CVPR 2021 | June 2021
  
  Publication

- DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
  
  Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt, Lohit Petikam, Xiao-Xian, Antonio Criminisi, Tom Cashman, Tadas Baltrusaitis
  
  2025 International Conference on Computer Vision | October 2025
  
  Publication Preprint 동영상
- Eyelid Fold Consistency in Facial Modeling
  
  Lohit Petikam, Charlie Hewitt, Fatemeh Saleh, Tadas Baltrusaitis
  
  SIGGRAPH Asia | December 2024
  
  Publication DOI
- Look Ma, no markers: holistic performance capture without the hassle
  
  Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Tom Cashman, Julien Valentin, Prof. Darren Cosker, Tadas Baltrusaitis
  
  ACM Transactions on Graphics | December 2024, 제 36 권(6): pp. 235:1-235:12
  
  Publication DOI 동영상
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
  
  Sadegh Aliakbarian, Fatemeh Saleh, David Collier, Pashmina Cameron, Prof. Darren Cosker
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- Effective Self-supervised Pre-training on Low-compute networks without Distillation
  
  Fuwen Tan, Fatemeh Saleh, Brais Martínez
  
  ICLR 2023 | September 2023
  
  Publication
- JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
  
  Mahsa Ehsanpour, Fatemeh Saleh, S. Savarese, I. Reid, Hamid Rezatofighi
  
  CVPR 2022 | June 2022
  
  Publication
- Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
  
  Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould
  
  CVPR 2021 | June 2021
  
  Publication
- DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
  
  Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt, Lohit Petikam, Xiao-Xian, Antonio Criminisi, Tom Cashman, Tadas Baltrusaitis
  
  2025 International Conference on Computer Vision | October 2025
  
  Publication Preprint 동영상
- Eyelid Fold Consistency in Facial Modeling
  
  Lohit Petikam, Charlie Hewitt, Fatemeh Saleh, Tadas Baltrusaitis
  
  SIGGRAPH Asia | December 2024
  
  Publication DOI
- Look Ma, no markers: holistic performance capture without the hassle
  
  Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Tom Cashman, Julien Valentin, Prof. Darren Cosker, Tadas Baltrusaitis
  
  ACM Transactions on Graphics | December 2024, 제 36 권(6): pp. 235:1-235:12
  
  Publication DOI 동영상
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
  
  Sadegh Aliakbarian, Fatemeh Saleh, David Collier, Pashmina Cameron, Prof. Darren Cosker
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- Effective Self-supervised Pre-training on Low-compute networks without Distillation
  
  Fuwen Tan, Fatemeh Saleh, Brais Martínez
  
  ICLR 2023 | September 2023
  
  Publication
- JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
  
  Mahsa Ehsanpour, Fatemeh Saleh, S. Savarese, I. Reid, Hamid Rezatofighi
  
  CVPR 2022 | June 2022
  
  Publication
- Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
  
  Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould
  
  CVPR 2021 | June 2021
  
  Publication
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
  
  Sadegh Aliakbarian, Fatemeh Saleh, David Collier, Pashmina Cameron, Prof. Darren Cosker
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication

- DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
  
  Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt, Lohit Petikam, Xiao-Xian, Antonio Criminisi, Tom Cashman, Tadas Baltrusaitis
  
  2025 International Conference on Computer Vision | October 2025
  
  Publication Preprint 동영상
- Eyelid Fold Consistency in Facial Modeling
  
  Lohit Petikam, Charlie Hewitt, Fatemeh Saleh, Tadas Baltrusaitis
  
  SIGGRAPH Asia | December 2024
  
  Publication DOI
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
  
  Sadegh Aliakbarian, Fatemeh Saleh, David Collier, Pashmina Cameron, Prof. Darren Cosker
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- Effective Self-supervised Pre-training on Low-compute networks without Distillation
  
  Fuwen Tan, Fatemeh Saleh, Brais Martínez
  
  ICLR 2023 | September 2023
  
  Publication
- JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
  
  Mahsa Ehsanpour, Fatemeh Saleh, S. Savarese, I. Reid, Hamid Rezatofighi
  
  CVPR 2022 | June 2022
  
  Publication
- Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
  
  Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould
  
  CVPR 2021 | June 2021
  
  Publication
- Look Ma, no markers: holistic performance capture without the hassle
  
  Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Tom Cashman, Julien Valentin, Prof. Darren Cosker, Tadas Baltrusaitis
  
  ACM Transactions on Graphics | December 2024, 제 36 권(6): pp. 235:1-235:12
  
  Publication DOI 동영상

Fatemeh Saleh

출판물

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Eyelid Fold Consistency in Facial Modeling

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

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

Effective Self-supervised Pre-training on Low-compute networks without Distillation

JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Eyelid Fold Consistency in Facial Modeling

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

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

Effective Self-supervised Pre-training on Low-compute networks without Distillation

JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Eyelid Fold Consistency in Facial Modeling

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

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

Effective Self-supervised Pre-training on Low-compute networks without Distillation

JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

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

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Eyelid Fold Consistency in Facial Modeling

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

Effective Self-supervised Pre-training on Low-compute networks without Distillation

JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

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