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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...
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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...
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08/16/2023
Visually-Aware Context Modeling for News Image Captioning
The goal of News Image Captioning is to generate an image caption accord...
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07/14/2023
Multimodal Distillation for Egocentric Action Recognition
The focal point of egocentric video understanding is modelling hand-obje...
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07/05/2023
Unbalanced Optimal Transport: A Unified Framework for Object Detection
During training, supervised object detection tries to correctly match th...
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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...
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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...
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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...
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05/30/2023
Prediction Error-based Classification for Class-Incremental Learning
Class-incremental learning (CIL) is a particularly challenging variant o...
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04/10/2023
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos
The success of the Neural Radiance Fields (NeRFs) for modeling and free-...
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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...
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03/23/2023
Adaptive Similarity Bootstrapping for Self-Distillation
Most self-supervised methods for representation learning leverage a cros...
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03/23/2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Learning dense visual representations without labels is an arduous task ...
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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...
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11/30/2022
Layout-aware Dreamer for Embodied Referring Expression Grounding
In this work, we study the problem of Embodied Referring Expression Grou...
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11/22/2022
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving
This work evaluates and analyzes the combination of imitation learning (...
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10/31/2022
Generative Negative Text Replay for Continual Vision-Language Pretraining
Vision-language pre-training (VLP) has attracted increasing attention re...
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10/17/2022
Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss
We revisit the weakly supervised cross-modal face-name alignment task; t...
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10/09/2022
Students taught by multimodal teachers are superior action recognizers
The focal point of egocentric video understanding is modelling hand-obje...
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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...
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10/05/2022
FQDet: Fast-converging Query-based Detector
Recently, two-stage Deformable DETR introduced the query-based two-stage...
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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...
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07/29/2022
Global-Local Self-Distillation for Visual Representation Learning
The downstream accuracy of self-supervised methods is tightly linked to ...
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06/24/2022
MPC-based Imitation Learning for Safe and Human-like Autonomous Driving
To ensure user acceptance of autonomous vehicles (AVs), control systems ...
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05/26/2022
Continual evaluation for lifelong learning: Identifying the stability gap
Introducing a time dependency on the data generating distribution has pr...
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05/19/2022
Continual Pre-Training Mitigates Forgetting in Language and Vision
Pre-trained models are nowadays a fundamental component of machine learn...
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04/04/2022
Re-examining Distillation For Continual Object Detection
Training models continually to detect and classify objects, from new cla...
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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...
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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...
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03/07/2022
Barlow constrained optimization for Visual Question Answering
Visual question answering is a vision-and-language multimodal task, that...
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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...
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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...
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11/02/2021
Revisiting spatio-temporal layouts for compositional action recognition
Recognizing human actions is fundamentally a spatio-temporal reasoning p...
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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...
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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...
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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...
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04/29/2021
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization
One of the most common problems of weakly supervised object localization...
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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...
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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...
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04/11/2021
Reducing Representation Drift in Online Continual Learning
We study the online continual learning paradigm, where agents must learn...
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11/24/2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
SegBlocks reduces the computational cost of existing neural networks, by...
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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...
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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...
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10/14/2020
Self-Supervised Ranking for Representation Learning
We present a new framework for self-supervised representation learning b...
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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...
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09/18/2020
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
The task of visual grounding requires locating the most relevant region ...
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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...
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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...
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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...
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07/22/2020