Search Results for author: Mahesh Kumar Krishna Reddy

Found 6 papers, 4 papers with code

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting

1 code implementation23 Oct 2020 Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang

In particular, we propose a new problem called unlabeled scene-adaptive crowd counting.

Crowd Counting

Adaptive Video Highlight Detection by Learning from User History

1 code implementation ECCV 2020 Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang

In this paper, we propose a simple yet effective framework that learns to adapt highlight detection to a user by exploiting the user's history in the form of highlights that the user has previously created.

Highlight Detection

Few-shot Scene-adaptive Anomaly Detection

1 code implementation ECCV 2020 Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang

In this paper, we propose a novel few-shot scene-adaptive anomaly detection problem to address the limitations of previous approaches.

Anomaly Detection Meta-Learning

Future Frame Prediction Using Convolutional VRNN for Anomaly Detection

no code implementations5 Sep 2019 Yiwei Lu, Mahesh Kumar Krishna Reddy, Seyed shahabeddin Nabavi, Yang Wang

Anomaly detection in videos aims at reporting anything that does not conform the normal behaviour or distribution.

Anomaly Detection

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