3
Publications
100
Citations
3
H-Index
2022
Active since
Affiliations
Sherwin Bahmani is an author at University of Toronto specializing in deep learning, engineering, and uncertainty quantification.
Top concepts
EngineeringDeep LearningStatisticsForecastingData SciencePublic HealthImage AnalysisMachine VisionRobot LearningComputer Vision
Publications per year
2022–2024
3
3
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Yuejiang Liu, Riccardo Cadei, Jonas Schweizer et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 41 citations · Full text
Artificial Intelligence, Forecasting Methodology, Engineering +23
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong et al. · 2024 · 34 citations
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou et al. · 2023 · 25 citations
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