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07/28/2023
SimDETR: Simplifying self-supervised pretraining for DETR
DETR-based object detectors have achieved remarkable performance but are...
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04/04/2023
Black Box Few-Shot Adaptation for Vision-Language models
Vision-Language (V-L) models trained with contrastive learning to align ...
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10/10/2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
This paper is on Few-Shot Object Detection (FSOD), where given a few tem...
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10/06/2022
Effective Self-supervised Pre-training on Low-compute networks without Distillation
Despite the impressive progress of self-supervised learning (SSL), its a...
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10/05/2022
Variational prompt tuning improves generalization of vision-language models
Prompt tuning provides an efficient mechanism to adapt large vision-lang...
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09/29/2022
REST: REtrieve Self-Train for generative action recognition
This work is on training a generative action/video recognition model who...
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08/23/2022
Efficient Attention-free Video Shift Transformers
This paper tackles the problem of efficient video recognition. In this a...
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06/16/2022
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning
Learning visual representations through self-supervision is an extremely...
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05/13/2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Existing knowledge distillation methods mostly focus on distillation of ...
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05/06/2022
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
Self-attention based models such as vision transformers (ViTs) have emer...
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04/10/2022
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
Learning an egocentric action recognition model from video data is chall...
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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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06/10/2021
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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01/20/2021
Few-shot Action Recognition with Prototype-centered Attentive Learning
Few-shot action recognition aims to recognize action classes with few tr...
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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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10/07/2020
High-Capacity Expert Binary Networks
Network binarization is a promising hardware-aware direction for creatin...
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07/13/2020
Towards practical lipreading with distilled and efficient models
Lipreading has witnessed a lot of progress due to the resurgence of neur...
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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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03/25/2020
Training Binary Neural Networks with Real-to-Binary Convolutions
This paper shows how to train binary networks to within a few percent po...
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03/09/2020
Knowledge distillation via adaptive instance normalization
This paper addresses the problem of model compression via knowledge dist...
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03/03/2020
BATS: Binary ArchitecTure Search
This paper proposes Binary ArchitecTure Search (BATS), a framework that ...
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01/23/2020
Lipreading using Temporal Convolutional Networks
Lip-reading has attracted a lot of research attention lately thanks to a...
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08/20/2019
Action recognition with spatial-temporal discriminative filter banks
Action recognition has seen a dramatic performance improvement in the la...
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01/17/2017
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
Automatic continuous time, continuous value assessment of a patient's pa...
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12/07/2016
A Functional Regression approach to Facial Landmark Tracking
Linear regression is a fundamental building block in many face detection...
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08/03/2016