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08/15/2023
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
We introduce an object-aware decoder for improving the performance of sp...
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06/14/2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
We present a novel model for Tracking Any Point (TAP) that effectively t...
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05/23/2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
We propose a novel multimodal video benchmark - the Perception Test - to...
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11/28/2022
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models
Contrastive Language-Image Pre-training (CLIP) has emerged as a simple y...
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11/07/2022
TAP-Vid: A Benchmark for Tracking Any Point in a Video
Generic motion understanding from video involves not only tracking objec...
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07/20/2022
Is an Object-Centric Video Representation Beneficial for Transfer?
The objective of this work is to learn an object-centric video represent...
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04/19/2021
Temporal Query Networks for Fine-grained Video Understanding
Our objective in this work is fine-grained classification of actions in ...
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11/03/2020
Representation Matters: Improving Perception and Exploration for Robotics
Projecting high-dimensional environment observations into lower-dimensio...
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09/14/2020
Adaptive Text Recognition through Visual Matching
In this work, our objective is to address the problems of generalization...
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07/22/2020
CrossTransformers: spatially-aware few-shot transfer
Given new tasks with very little data–such as new classes in a classific...
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08/20/2019
Compliance Change Tracking in Business Process Services
Regulatory compliance is an organization's adherence to laws, regulation...
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07/03/2019
Learning Landmarks from Unaligned Data using Image Translation
We introduce a method for learning landmark detectors from unlabelled vi...
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06/19/2019
Unsupervised Learning of Object Keypoints for Perception and Control
The study of object representations in computer vision has primarily foc...
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09/23/2018
Learning to Read by Spelling: Towards Unsupervised Text Recognition
This work presents a method for visual text recognition without using an...
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07/21/2018
Inductive Visual Localisation: Factorised Training for Superior Generalisation
End-to-end trained Recurrent Neural Networks (RNNs) have been successful...
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06/20/2018
Conditional Image Generation for Learning the Structure of Visual Objects
In this paper, we consider the problem of learning landmarks for object ...
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09/15/2017
A Deep Generative Framework for Paraphrase Generation
Paraphrase generation is an important problem in NLP, especially in ques...
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04/22/2016