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04/06/2023
Boundary-Denoising for Video Activity Localization
Video activity localization aims at understanding the semantic content i...
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11/27/2022
Multi-Modal Few-Shot Temporal Action Detection
Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...
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11/18/2022
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization
This paper deals with the problem of localizing objects in image and vid...
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08/03/2022
Negative Frames Matter in Egocentric Visual Query 2D Localization
The recently released Ego4D dataset and benchmark significantly scales a...
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10/06/2021
SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021
This report presents the technical details of our submission to the EPIC...
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06/21/2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
Recently, few-shot learning has received increasing interest. Existing e...
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06/10/2021
Space-time Mixing Attention for Video Transformer
This paper is on video recognition using Transformers. Very recent attem...
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03/28/2021
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization
Temporal action localization (TAL) is a fundamental yet challenging task...
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11/21/2020
Boundary-sensitive Pre-training for Temporal Localization in Videos
Many video analysis tasks require temporal localization thus detection o...
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07/03/2020
Egocentric Action Recognition by Video Attention and Temporal Context
We present the submission of Samsung AI Centre Cambridge to the CVPR2020...
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04/02/2020
Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention
Attentive video modeling is essential for action recognition in unconstr...
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03/10/2020
Incremental Few-Shot Object Detection
Most existing object detection methods rely on the availability of abund...
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03/15/2019
MFAS: Multimodal Fusion Architecture Search
We tackle the problem of finding good architectures for multimodal class...
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08/01/2018
Efficient Progressive Neural Architecture Search
This paper addresses the difficult problem of finding an optimal neural ...
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12/05/2016