64 citations · 106 across the 7 of their papers we have counts for
8 papers
Machine Learning to Estimate Gross Loss of Jewelry for Wax Patterns
Mihir Jain, Kashish Jain, Sandip Mane
In mass manufacturing of jewellery, the gross loss is estimated before manufacturing to calculate the wax weight of the pattern that would be investment casted to make multiple ide…
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov +1
The goal of this paper is to self-train a 3D convolutional neural network on an unlabeled video collection for deployment on small-scale video collections. As smaller video dataset…
TimeGate: Conditional Gating of Segments in Long-range Activities
Noureldien Hussein, Mihir Jain, Babak Ehteshami Bejnordi
When recognizing a long-range activity, exploring the entire video is exhaustive and computationally expensive, as it can span up to a few minutes. Thus, it is of great importance…
Multi-Fidelity Recursive Behavior Prediction
Mihir Jain, Kyle Brown, Ahmed K. Sadek
Predicting the behavior of surrounding vehicles is a critical problem in automated driving. We present a novel game theoretic behavior prediction model that achieves state of the a…
Guess Where? Actor-Supervision for Spatiotemporal Action Localization
Victor Escorcia, Cuong D. Dao, Mihir Jain +2
This paper addresses the problem of spatiotemporal localization of actions in videos. Compared to leading approaches, which all learn to localize based on carefully annotated boxes…
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels
Mihir Jain, Jan van Gemert, Hervé Jégou +2
This paper considers the problem of localizing actions in videos as a sequences of bounding boxes. The objective is to generate action proposals that are likely to include the acti…
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li, Efstratios Gavves, Mihir Jain +1
We present a new architecture for end-to-end sequence learning of actions in video, we call VideoLSTM. Rather than adapting the video to the peculiarities of established recurrent…
Objects2action: Classifying and localizing actions without any video example
Mihir Jain, Jan C. van Gemert, Thomas Mensink +1
The goal of this paper is to recognize actions in video without the need for examples. Different from traditional zero-shot approaches we do not demand the design and specification…