250 citations · 391 across the 9 of their papers we have counts for
9 papers
Exploring Missing Modality in Multimodal Egocentric Datasets
Merey Ramazanova, Alejandro Pardo, Humam Alwassel +1
Multimodal video understanding is crucial for analyzing egocentric videos, where integrating multiple sensory signals significantly enhances action recognition and moment localizat…
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
Humam Alwassel, Silvio Giancola, Bernard Ghanem
Due to the large memory footprint of untrimmed videos, current state-of-the-art video localization methods operate atop precomputed video clip features. These features are extracte…
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel, Dhruv Mahajan, Bruno Korbar +3
Visual and audio modalities are highly correlated, yet they contain different information. Their strong correlation makes it possible to predict the semantics of one from the other…
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
Alejandro Pardo, Humam Alwassel, Fabian Caba Heilbron +2
Video action detectors are usually trained using datasets with fully-supervised temporal annotations. Building such datasets is an expensive task. To alleviate this problem, recent…
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds
Ali Thabet, Humam Alwassel, Bernard Ghanem
We present a self-supervised task on point clouds, in order to learn meaningful point-wise features that encode local structure around each point. Our self-supervised network, name…
The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6
The 3rd annual installment of the ActivityNet Large- Scale Activity Recognition Challenge, held as a full-day workshop in CVPR 2018, focused on the recognition of daily life, high-…
Diagnosing Error in Temporal Action Detectors
Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia +1
Despite the recent progress in video understanding and the continuous rate of improvement in temporal action localization throughout the years, it is still unclear how far (or clos…
ActivityNet Challenge 2017 Summary
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6
The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
Humam Alwassel, Fabian Caba Heilbron, Bernard Ghanem
State-of-the-art temporal action detectors inefficiently search the entire video for specific actions. Despite the encouraging progress these methods achieve, it is crucial to desi…