Shukla, Megh

5 publications

CVPR 2025 MotionMap: Representing Multimodality in Human Pose Forecasting Reyhaneh Hosseininejad, Megh Shukla, Saeed Saadatnejad, Mathieu Salzmann, Alexandre Alahi

ICLR 2025 Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi

ICML 2024 TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla, Mathieu Salzmann, Alexandre Alahi

WACV 2022 Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin? Megh Shukla

CVPRW 2021 A Mathematical Analysis of Learning Loss for Active Learning in Regression Megh Shukla, Shuaib Ahmed