53 citations · 132 across the 13 of their papers we have counts for
14 papers
MoCA-Video: Motion-Aware Concept Alignment for Consistent Video Editing
Tong Zhang, Juan C Leon Alcazar, Victor Escorcia +1
Unlike traditional video editing or inpainting, video semantic mixing fuses a reference concept with a moving target entity to produce a hybrid while preserving the source video's…
Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
Mehdi Noroozi, Isma Hadji, Victor Escorcia +3
There has been immense progress recently in the visual quality of Stable Diffusion-based Super Resolution (SD-SR). However, deploying large diffusion models on computationally rest…
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
Victor Escorcia, Ricardo Guerrero, Xiatian Zhu +1
Learning an egocentric action recognition model from video data is challenging due to distractors (e.g., irrelevant objects) in the background. Further integrating object informati…
OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos
Merey Ramazanova, Victor Escorcia, Fabian Caba Heilbron +2
Egocentric videos capture sequences of human activities from a first-person perspective and can provide rich multimodal signals. However, most current localization methods use thir…
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa, Kumail Alhamoud, Juan León Alcázar +3
Continual learning (CL) is under-explored in the video domain. The few existing works contain splits with imbalanced class distributions over the tasks, or study the problem in uns…
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
Andrés Villa, Juan-Manuel Perez-Rua, Victor Escorcia +3
Recently, few-shot video classification has received an increasing interest. Current approaches mostly focus on effectively exploiting the temporal dimension in videos to improve l…
Boundary-sensitive Pre-training for Temporal Localization in Videos
Mengmeng Xu, Juan-Manuel Perez-Rua, Victor Escorcia +5
Many video analysis tasks require temporal localization thus detection of content changes. However, most existing models developed for these tasks are pre-trained on general video…
Egocentric Action Recognition by Video Attention and Temporal Context
Juan-Manuel Perez-Rua, Antoine Toisoul, Brais Martinez +4
We present the submission of Samsung AI Centre Cambridge to the CVPR2020 EPIC-Kitchens Action Recognition Challenge. In this challenge, action recognition is posed as the problem o…
Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention
Juan-Manuel Perez-Rua, Brais Martinez, Xiatian Zhu +3
Attentive video modeling is essential for action recognition in unconstrained videos due to their rich yet redundant information over space and time. However, introducing attention…
Finding Moments in Video Collections Using Natural Language
Victor Escorcia, Mattia Soldan, Josef Sivic +2
We introduce the task of retrieving relevant video moments from a large corpus of untrimmed, unsegmented videos given a natural language query. Our task poses unique challenges as…
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…
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…
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.