Tinne Tuytelaars

research

∙ 09/10/2023

Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels

In this paper, we investigate the task of zero-shot human-object interac...

0 Bo Wan, et al. ∙

research

∙ 08/16/2023

Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction

Neural Radiance Fields (NeRFs) have revolutionized the field of novel vi...

0 Georgios Kouros, et al. ∙

research

∙ 08/16/2023

Visually-Aware Context Modeling for News Image Captioning

The goal of News Image Captioning is to generate an image caption accord...

0 Tingyu Qu, et al. ∙

research

∙ 07/14/2023

Multimodal Distillation for Egocentric Action Recognition

The focal point of egocentric video understanding is modelling hand-obje...

0 Gorjan Radevski, et al. ∙

research

∙ 07/05/2023

Unbalanced Optimal Transport: A Unified Framework for Object Detection

During training, supervised object detection tries to correctly match th...

0 Henri De Plaen, et al. ∙

research

∙ 07/04/2023

EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity

Many two-stage instance segmentation heads predict a coarse 28x28 mask p...

0 Cédric Picron, et al. ∙

research

∙ 06/05/2023

Continual Learning with Pretrained Backbones by Tuning in the Input Space

The intrinsic difficulty in adapting deep learning models to non-station...

0 Simone Marullo, et al. ∙

research

∙ 06/03/2023

Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems

A personalized KeyWord Spotting (KWS) pipeline typically requires the tr...

0 Manuele Rusci, et al. ∙

research

∙ 05/30/2023

Prediction Error-based Classification for Class-Incremental Learning

Class-incremental learning (CIL) is a particularly challenging variant o...

0 Michał Zając, et al. ∙

research

∙ 04/10/2023

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

The success of the Neural Radiance Fields (NeRFs) for modeling and free-...

3 Liao Wang, et al. ∙

research

∙ 04/03/2023

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting

By default, neural networks learn on all training data at once. When suc...

0 Timm Hess, et al. ∙

research

∙ 03/23/2023

Adaptive Similarity Bootstrapping for Self-Distillation

Most self-supervised methods for representation learning leverage a cros...

0 Tim Lebailly, et al. ∙

research

∙ 03/23/2023

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning

Learning dense visual representations without labels is an arduous task ...

0 Thomas Stegmüller, et al. ∙

research

∙ 03/02/2023

Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning

Human object interaction (HOI) detection plays a crucial role in human-c...

0 Bo Wan, et al. ∙

research

∙ 11/30/2022

Layout-aware Dreamer for Embodied Referring Expression Grounding

In this work, we study the problem of Embodied Referring Expression Grou...

0 Mingxiao Li, et al. ∙

research

∙ 11/22/2022

Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving

This work evaluates and analyzes the combination of imitation learning (...

0 Flavia Sofia Acerbo, et al. ∙

research

∙ 10/31/2022

Generative Negative Text Replay for Continual Vision-Language Pretraining

Vision-language pre-training (VLP) has attracted increasing attention re...

0 Shipeng Yan, et al. ∙

research

∙ 10/17/2022

Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss

We revisit the weakly supervised cross-modal face-name alignment task; t...

0 Tingyu Qu, et al. ∙

research

∙ 10/09/2022

Students taught by multimodal teachers are superior action recognizers

The focal point of egocentric video understanding is modelling hand-obje...

0 Gorjan Radevski, et al. ∙

research

∙ 10/07/2022

CLAD: A realistic Continual Learning benchmark for Autonomous Driving

In this paper we describe the design and the ideas motivating a new Cont...

0 Eli Verwimp, et al. ∙

research

∙ 10/05/2022

FQDet: Fast-converging Query-based Detector

Recently, two-stage Deformable DETR introduced the query-based two-stage...

0 Cédric Picron, et al. ∙

research

∙ 08/12/2022

Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation

Pose estimation is usually tackled as either a bin classification proble...

3 Georgios Kouros, et al. ∙

research

∙ 07/29/2022

Global-Local Self-Distillation for Visual Representation Learning

The downstream accuracy of self-supervised methods is tightly linked to ...

0 Tim Lebailly, et al. ∙

research

∙ 06/24/2022

MPC-based Imitation Learning for Safe and Human-like Autonomous Driving

To ensure user acceptance of autonomous vehicles (AVs), control systems ...

0 Flavia Sofia Acerbo, et al. ∙

research

∙ 05/26/2022

Continual evaluation for lifelong learning: Identifying the stability gap

Introducing a time dependency on the data generating distribution has pr...

0 Matthias De Lange, et al. ∙

research

∙ 05/19/2022

Continual Pre-Training Mitigates Forgetting in Language and Vision

Pre-trained models are nowadays a fundamental component of machine learn...

18 Andrea Cossu, et al. ∙

research

∙ 04/04/2022

Re-examining Distillation For Continual Object Detection

Training models continually to detect and classify objects, from new cla...

0 Eli Verwimp, et al. ∙

research

∙ 03/11/2022

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations

As natural images usually contain multiple objects, multi-label image cl...

0 Thomas Verelst, et al. ∙

research

∙ 03/08/2022

New Insights on Reducing Abrupt Representation Change in Online Continual Learning

In the online continual learning paradigm, agents must learn from a chan...

3 Lucas Caccia, et al. ∙

research

∙ 03/07/2022

Barlow constrained optimization for Visual Question Answering

Visual question answering is a vision-and-language multimodal task, that...

8 Abhishek Jha, et al. ∙

research

∙ 03/07/2022

Find a Way Forward: a Language-Guided Semantic Map Navigator

This paper attacks the problem of language-guided navigation in a new pe...

0 Zehao Wang, et al. ∙

research

∙ 01/08/2022

RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues

The gap between simulation and the real-world restrains many machine lea...

20 Klaas Kelchtermans, et al. ∙

research

∙ 11/02/2021

Revisiting spatio-temporal layouts for compositional action recognition

Recognizing human actions is fundamentally a spatio-temporal reasoning p...

0 Gorjan Radevski, et al. ∙

research

∙ 10/08/2021

Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection

Feature pyramids have become ubiquitous in multi-scale computer vision t...

0 Cédric Picron, et al. ∙

research

∙ 08/26/2021

Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration

Active visual exploration aims to assist an agent with a limited field o...

8 Soroush Seifi, et al. ∙

research

∙ 08/20/2021

BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies

In this paper we propose BlockCopy, a scheme that accelerates pretrained...

0 Thomas Verelst, et al. ∙

research

∙ 04/29/2021

MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization

One of the most common problems of weakly supervised object localization...

0 Kaili Wang, et al. ∙

research

∙ 04/16/2021

Towards Human-Understandable Visual Explanations:Imperceptible High-frequency Cues Can Better Be Removed

Explainable AI (XAI) methods focus on explaining what a neural network h...

0 Kaili Wang, et al. ∙

research

∙ 04/15/2021

Rehearsal revealed: The limits and merits of revisiting samples in continual learning

Learning from non-stationary data streams and overcoming catastrophic fo...

0 Eli Verwimp, et al. ∙

research

∙ 04/11/2021

Reducing Representation Drift in Online Continual Learning

We study the online continual learning paradigm, where agents must learn...

0 Lucas Caccia, et al. ∙

research

∙ 11/24/2020

SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation

SegBlocks reduces the computational cost of existing neural networks, by...

2 Thomas Verelst, et al. ∙

research

∙ 10/29/2020

Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks?

We present a method for adversarial attack detection based on the inspec...

9 Roger Granda, et al. ∙

research

∙ 10/15/2020

On the Exploration of Incremental Learning for Fine-grained Image Retrieval

In this paper, we consider the problem of fine-grained image retrieval i...

0 Wei Chen, et al. ∙

research

∙ 10/14/2020

Self-Supervised Ranking for Representation Learning

We present a new framework for self-supervised representation learning b...

0 Ali Varamesh, et al. ∙

research

∙ 09/21/2020

Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules

Training deep learning models on embedded devices is typically avoided s...

0 Robby Neven, et al. ∙

research

∙ 09/18/2020

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

The task of visual grounding requires locating the most relevant region ...

10 Thierry Deruyttere, et al. ∙

research

∙ 09/16/2020

Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing

Given a really low-resolution input image of a face (say 16x16 or 8x8 pi...

0 Kaili Wang, et al. ∙

research

∙ 09/02/2020

Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams

As learning from non-stationary streams of data has been proven a challe...

6 Matthias De Lange, et al. ∙

research

∙ 07/29/2020

What My Motion tells me about Your Pose: Self-Supervised Fine-Tuning of Observed Vehicle Orientation Angle

The determination of the relative 6 Degree of Freedom (DoF) pose of vehi...

0 Cédric Picron, et al. ∙

research

∙ 07/22/2020

Attend and Segment: Attention Guided Active Semantic Segmentation

In a dynamic environment, an agent with a limited field of view/resource...

0 Soroush Seifi, et al. ∙

Tinne Tuytelaars

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