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Parham Saremi

2 accepted papers

2025

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation

NeurIPS 2025poster

Capturing diversity is crucial in conditional and prompt-based image generation, particularly when conditions contain uncertainty that can lead to multiple plausible outputs. To generate diverse images reflecting this diversity, traditional methods often modify random seeds, making it difficult to d…

Cited by 0SourceScholar
2024

Toward Reliable Human Pose Forecasting With Uncertainty

RA-L 2024

Recently, there has been an arms race of pose forecasting methods aimed at solving the spatio-temporal task of predicting a sequence of future 3D poses of a person given a sequence of past observed ones. However, the lack of unified benchmarks and limited uncertainty analysis have hindered progress

Cited by 14SourcecodeScholar