Cees G. M. Snoek

research

∙ 08/22/2023

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations

Spatially dense self-supervised learning is a rapidly growing problem do...

0 Mohammadreza Salehi, et al. ∙

research

∙ 07/08/2023

Learning Variational Neighbor Labels for Test-Time Domain Generalization

This paper strives for domain generalization, where models are trained e...

0 Sameer Ambekar, et al. ∙

research

∙ 06/22/2023

Learning Unseen Modality Interaction

Multimodal learning assumes all modality combinations of interest are av...

2 Yunhua Zhang, et al. ∙

research

∙ 06/16/2023

Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation

This paper investigates the problem of scene graph generation in videos ...

8 Shuo Chen, et al. ∙

research

∙ 06/08/2023

R-MAE: Regions Meet Masked Autoencoders

Vision-specific concepts such as "region" have played a key role in exte...

2 Duy-Kien Nguyen, et al. ∙

research

∙ 06/08/2023

Focus for Free in Density-Based Counting

This work considers supervised learning to count from images and their c...

4 Zenglin Shi, et al. ∙

research

∙ 05/17/2023

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks

Meta-learning algorithms are able to learn a new task using previously l...

7 Wenfang Sun, et al. ∙

research

∙ 04/03/2023

Self-Ordering Point Clouds

In this paper we address the task of finding representative subsets of p...

2 Pengwan Yang, et al. ∙

research

∙ 03/31/2023

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail

Modern image classifiers perform well on populated classes, while degrad...

5 Yingjun Du, et al. ∙

research

∙ 03/10/2023

Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Medical Visual Question Answering (VQA) is an important challenge, as it...

4 Tom van Sonsbeek, et al. ∙

research

∙ 02/22/2023

Energy-Based Test Sample Adaptation for Domain Generalization

In this paper, we propose energy-based sample adaptation at test time fo...

2 Zehao Xiao, et al. ∙

research

∙ 01/30/2023

Unlocking Slot Attention by Changing Optimal Transport Costs

Slot attention is a powerful method for object-centric modeling in image...

0 Yan Zhang, et al. ∙

research

∙ 01/05/2023

Test of Time: Instilling Video-Language Models with a Sense of Time

Modeling and understanding time remains a challenge in contemporary vide...

11 Piyush Bagad, et al. ∙

research

∙ 12/23/2022

Detecting Objects with Graph Priors and Graph Refinement

The goal of this paper is to detect objects by exploiting their interrel...

9 Aritra Bhowmik, et al. ∙

research

∙ 12/05/2022

Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight

State-of-the-art activity recognizers are effective during the day, but ...

5 Yunhua Zhang, et al. ∙

research

∙ 10/19/2022

Variational Model Perturbation for Source-Free Domain Adaptation

We aim for source-free domain adaptation, where the task is to deploy a ...

5 Mengmeng Jing, et al. ∙

research

∙ 10/12/2022

Self-Guided Diffusion Models

Diffusion models have demonstrated remarkable progress in image generati...

40 Vincent Tao Hu, et al. ∙

research

∙ 10/10/2022

Association Graph Learning for Multi-Task Classification with Category Shifts

In this paper, we focus on multi-task classification, where related clas...

6 Jiayi Shen, et al. ∙

research

∙ 10/05/2022

Variational prompt tuning improves generalization of vision-language models

Prompt tuning provides an efficient mechanism to adapt large vision-lang...

3 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 05/28/2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models

We aim for image-based novelty detection. Despite considerable progress,...

6 Hossein Mirzaei, et al. ∙

research

∙ 04/19/2022

Less than Few: Self-Shot Video Instance Segmentation

The goal of this paper is to bypass the need for labelled examples in fe...

8 Pengwan Yang, et al. ∙

research

∙ 04/12/2022

LifeLonger: A Benchmark for Continual Disease Classification

Deep learning models have shown a great effectiveness in recognition of ...

1 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 03/27/2022

Audio-Adaptive Activity Recognition Across Video Domains

This paper strives for activity recognition under domain shift, for exam...

11 Yunhua Zhang, et al. ∙

research

∙ 03/23/2022

How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs

We aim to understand how actions are performed and identify subtle diffe...

4 Hazel Doughty, et al. ∙

research

∙ 02/16/2022

Learning to Generalize across Domains on Single Test Samples

We strive to learn a model from a set of source domains that generalizes...

2 Zehao Xiao, et al. ∙

research

∙ 12/26/2021

Generative Kernel Continual learning

Kernel continual learning by <cit.> has recently emerged as a strong con...

12 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 12/15/2021

Hierarchical Variational Memory for Few-shot Learning Across Domains

Neural memory enables fast adaptation to new tasks with just a few train...

9 Yingjun Du, et al. ∙

research

∙ 11/25/2021

BoxeR: Box-Attention for 2D and 3D Transformers

In this paper, we propose a simple attention mechanism, we call Box-Atte...

6 Duy-Kien Nguyen, et al. ∙

research

∙ 11/23/2021

Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation

Most set prediction models in deep learning use set-equivariant operatio...

4 Yan Zhang, et al. ∙

research

∙ 10/27/2021

Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias

This paper strives to address image classifier bias, with a focus on bot...

17 William Thong, et al. ∙

research

∙ 10/25/2021

Diagnosing Errors in Video Relation Detectors

Video relation detection forms a new and challenging problem in computer...

1 Shuo Chen, et al. ∙

research

∙ 08/18/2021

Social Fabric: Tubelet Compositions for Video Relation Detection

This paper strives to classify and detect the relationship between objec...

6 Shuo Chen, et al. ∙

research

∙ 08/08/2021

Skeleton-Contrastive 3D Action Representation Learning

This paper strives for self-supervised learning of a feature space suita...

13 Fida Mohammad Thoker, et al. ∙

research

∙ 08/06/2021

Feature-Supervised Action Modality Transfer

This paper strives for action recognition and detection in video modalit...

6 Fida Mohammad Thoker, et al. ∙

research

∙ 07/12/2021

Kernel Continual Learning

This paper introduces kernel continual learning, a simple but effective ...

3 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 07/02/2021

On Measuring and Controlling the Spectral Bias of the Deep Image Prior

The deep image prior has demonstrated the remarkable ability that untrai...

18 Zenglin Shi, et al. ∙

research

∙ 06/26/2021

Recurrently Predicting Hypergraphs

This work considers predicting the relational structure of a hypergraph ...

3 David W. Zhang, et al. ∙

research

∙ 06/05/2021

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation

A critical challenge faced by supervised word sense disambiguation (WSD)...

9 Yingjun Du, et al. ∙

research

∙ 06/02/2021

Unsharp Mask Guided Filtering

The goal of this paper is guided image filtering, which emphasizes the i...

0 Zenglin Shi, et al. ∙

research

∙ 05/14/2021

Attentional Prototype Inference for Few-Shot Semantic Segmentation

This paper aims to address few-shot semantic segmentation. While existin...

3 Haoliang Sun, et al. ∙

research

∙ 05/09/2021

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty

Domain generalization is challenging due to the domain shift and the unc...

4 Zehao Xiao, et al. ∙

research

∙ 05/08/2021

MetaKernel: Learning Variational Random Features with Limited Labels

Few-shot learning deals with the fundamental and challenging problem of ...

7 Yingjun Du, et al. ∙

research

∙ 05/04/2021

Motion-Augmented Self-Training for Video Recognition at Smaller Scale

The goal of this paper is to self-train a 3D convolutional neural networ...

5 Kirill Gavrilyuk, et al. ∙

research

∙ 04/23/2021

Safe Fakes: Evaluating Face Anonymizers for Face Detectors

Since the introduction of the GDPR and CCPA legislation, both public and...

25 Sander R. Klomp, et al. ∙

research

∙ 04/10/2021

Object Priors for Classifying and Localizing Unseen Actions

This work strives for the classification and localization of human actio...

6 Pascal Mettes, et al. ∙

research

∙ 04/06/2021

Few-Shot Transformation of Common Actions into Time and Space

This paper introduces the task of few-shot common action localization in...

11 Pengwan Yang, et al. ∙

research

∙ 04/02/2021

LiftPool: Bidirectional ConvNet Pooling

Pooling is a critical operation in convolutional neural networks for inc...

13 Jiaojiao Zhao, et al. ∙

research

∙ 03/24/2021

Repetitive Activity Counting by Sight and Sound

This paper strives for repetitive activity counting in videos. Different...

2 Yunhua Zhang, et al. ∙

research

∙ 10/20/2020

Learning to Learn Variational Semantic Memory

In this paper, we introduce variational semantic memory into meta-learni...

4 Xiantong Zhen, et al. ∙

research

∙ 10/08/2020

Set Prediction without Imposing Structure as Conditional Density Estimation

Set prediction is about learning to predict a collection of unordered va...

3 David W. Zhang, et al. ∙

Cees G. M. Snoek

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