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03/28/2023
Rethinking matching-based few-shot action recognition
Few-shot action recognition, i.e. recognizing new action classes given o...
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12/16/2022
Fake it till you make it: Learning(s) from a synthetic ImageNet clone
Recent large-scale image generation models such as Stable Diffusion have...
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10/05/2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Strong image search models can be learned for a specific domain, ie. set...
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08/22/2022
PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling
Training state-of-the-art models for human pose estimation in videos req...
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06/30/2022
Improving the Generalization of Supervised Models
We consider the problem of training a deep neural network on a given cla...
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01/31/2022
Learning Super-Features for Image Retrieval
Methods that combine local and global features have recently shown excel...
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10/18/2021
TLDR: Twin Learning for Dimensionality Reduction
Dimensionality reduction methods are unsupervised approaches which learn...
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10/18/2021
Leveraging MoCap Data for Human Mesh Recovery
Training state-of-the-art models for human body pose and shape recovery ...
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01/13/2021
Probabilistic Embeddings for Cross-Modal Retrieval
Cross-modal retrieval methods build a common representation space for sa...
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12/10/2020
Concept Generalization in Visual Representation Learning
Measuring concept generalization, i.e., the extent to which models train...
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10/02/2020
Hard Negative Mixing for Contrastive Learning
Contrastive learning has become a key component of self-supervised learn...
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04/23/2020
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020
This is the proceedings of the Computer Vision for Agriculture (CV4A) Wo...
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10/21/2019
Decoupling Representation and Classifier for Long-Tailed Recognition
The long-tail distribution of the visual world poses great challenges fo...
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06/01/2019
Learning to Generate Grounded Image Captions without Localization Supervision
When generating a sentence description for an image, it frequently remai...
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04/10/2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
In natural images, information is conveyed at different frequencies wher...
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03/03/2019
Less is More: Learning Highlight Detection from Video Duration
Highlight detection has the potential to significantly ease video browsi...
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01/11/2019
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Motion has shown to be useful for video understanding, where motion is t...
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12/17/2018
Grounded Video Description
Video description is one of the most challenging problems in vision and ...
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11/30/2018
Graph-Based Global Reasoning Networks
Globally modeling and reasoning over relations between regions can be be...
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10/27/2018
A^2-Nets: Double Attention Networks
Learning to capture long-range relations is fundamental to image/video r...
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07/30/2018
Multi-Fiber Networks for Video Recognition
In this paper, we aim to reduce the computational cost of spatio-tempora...
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04/27/2018
Large-Scale Visual Relationship Understanding
Large scale visual understanding is challenging, as it requires a model ...
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08/04/2017
MemexQA: Visual Memex Question Answering
This paper proposes a new task, MemexQA: given a collection of photos or...
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12/06/2016
Tag Prediction at Flickr: a View from the Darkroom
Automated photo tagging has established itself as one of the most compel...
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04/21/2016
Visual Congruent Ads for Image Search
The quality of user experience online is affected by the relevance and p...
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04/21/2016
LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing
We propose a novel hashing-based matching scheme, called Locally Optimiz...
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02/23/2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Despite progress in perceptual tasks such as image classification, compu...
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12/13/2015