Megh Shukla - RankMe

14 papers A* 3A 2Misc 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	MotionMap: Representing Multimodality in Human Pose Forecasting. CVPR Reyhaneh HosseiniNejad, Megh Shukla, Saeed Saadatnejad, Mathieu Salzmann, Alexandre Alahi
2025	A*	`conf`	Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression. ICLR Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi
2025	J	`jnl`	Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression. CoRR Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi
2024	J	`jnl`	MotionMap: Representing Multimodality in Human Pose Forecasting. CoRR Reyhaneh HosseiniNejad, Megh Shukla, Saeed Saadatnejad, Mathieu Salzmann, Alexandre Alahi
2024	A*	`conf`	TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression. ICML Megh Shukla, Mathieu Salzmann, Alexandre Alahi
2023	J	`jnl`	TIC-TAC: A Framework To Learn And Evaluate Your Covariance. CoRR Megh Shukla, Mathieu Salzmann, Alexandre Alahi
2022	A	`conf`	Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin? WACV Megh Shukla
2022	A	`conf`	VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation. BMVC Megh Shukla, Roshan Roy, Pankaj Singh, Shuaib Ahmed, Alexandre Alahi
2022	J	`jnl`	VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation. CoRR Megh Shukla, Roshan Roy, Pankaj Singh, Shuaib Ahmed, Alexandre Alahi
2021	—	`conf`	A Mathematical Analysis of Learning Loss for Active Learning in Regression. CVPR Workshops Megh Shukla, Shuaib Ahmed
2021	J	`jnl`	A Mathematical Analysis of Learning Loss for Active Learning in Regression. CoRR Megh Shukla, Shuaib Ahmed
2021	J	`jnl`	EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation. CoRR Megh Shukla
2020	Misc	`conf`	LEt-SNE: A Hybrid Approach to Data Embedding and Visualization Of Hyperspectral Imagery. ICASSP Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju
2019	J	`jnl`	LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery. CoRR Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju