b'Esa Rahtu'

research

∙ 04/04/2023

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Human evaluation is critical for validating the performance of text-to-i...

0 Mayu Otani, et al. ∙

research

∙ 04/03/2023

FinnWoodlands Dataset

While the availability of large and diverse datasets has contributed to ...

0 Juan Lagos, et al. ∙

research

∙ 02/14/2023

MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation

Acquiring labeled 6D poses from real images is an expensive and time-con...

0 Dingding Cai, et al. ∙

research

∙ 01/03/2023

BS3D: Building-scale 3D Reconstruction from RGB-D Images

Various datasets have been proposed for simultaneous localization and ma...

0 Janne Mustaniemi, et al. ∙

research

∙ 12/29/2022

PanDepth: Joint Panoptic Segmentation and Depth Completion

Understanding 3D environments semantically is pivotal in autonomous driv...

0 Juan Lagos, et al. ∙

research

∙ 11/14/2022

Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition

In this paper, we present a comprehensive study on the utility of deep c...

0 farid-alijani, et al. ∙

research

∙ 10/13/2022

Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors

The objective of this paper is audio-visual synchronisation of general v...

21 Vladimir Iashin, et al. ∙

research

∙ 09/01/2022

SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion

Holistic scene understanding is pivotal for the performance of autonomou...

0 Juan Pablo Lagos, et al. ∙

research

∙ 08/12/2022

The Weighting Game: Evaluating Quality of Explainability Methods

The objective of this paper is to assess the quality of explanation heat...

12 Lassi Raatikainen, et al. ∙

research

∙ 08/09/2022

HRF-Net: Holistic Radiance Fields from Sparse Inputs

We present HRF-Net, a novel view synthesis method based on holistic radi...

14 Phong Nguyen-Ha, et al. ∙

research

∙ 08/03/2022

SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation

This paper presents an efficient symmetry-agnostic and correspondence-fr...

0 Dingding Cai, et al. ∙

research

∙ 07/03/2022

Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision

This paper focuses on perceiving and navigating 3D environments using ec...

2 Lingyu Zhu, et al. ∙

research

∙ 04/01/2022

Online panoptic 3D reconstruction as a Linear Assignment Problem

Real-time holistic scene understanding would allow machines to interpret...

0 Leevi Raivio, et al. ∙

research

∙ 03/30/2022

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval

Evaluation measures have a crucial impact on the direction of research. ...

0 Riku Togashi, et al. ∙

research

∙ 03/28/2022

Optimal Correction Cost for Object Detection Evaluation

Mean Average Precision (mAP) is the primary evaluation measure for objec...

0 Mayu Otani, et al. ∙

research

∙ 03/03/2022

Fast Neural Architecture Search for Lightweight Dense Prediction Networks

We present LDP, a lightweight dense prediction neural architecture searc...

6 Lam Huynh, et al. ∙

research

∙ 03/02/2022

OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation

This paper proposes a universal framework, called OVE6D, for model-based...

0 Dingding Cai, et al. ∙

research

∙ 12/16/2021

Adaptation and Attention for Neural Video Coding

Neural image coding represents now the state-of-the-art image compressio...

0 Nannan Zou, et al. ∙

research

∙ 10/17/2021

Taming Visually Guided Sound Generation

Recent advances in visually-induced audio generation are based on sampli...

7 Vladimir Iashin, et al. ∙

research

∙ 09/21/2021

Towards a Real-Time Facial Analysis System

Facial analysis is an active research area in computer vision, with many...

0 Bishwo Adhikari, et al. ∙

research

∙ 09/18/2021

V-SlowFast Network for Efficient Visual Sound Separation

The objective of this paper is to perform visual sound separation: i) we...

6 Lingyu Zhu, et al. ∙

research

∙ 08/25/2021

Lightweight Monocular Depth with a Novel Neural Architecture Search Method

This paper presents a novel neural architecture search method, called Li...

0 Lam Huynh, et al. ∙

research

∙ 08/25/2021

Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss

Deep neural networks have recently thrived on single image depth estimat...

0 Lam Huynh, et al. ∙

research

∙ 08/23/2021

Image coding for machines: an end-to-end learned approach

Over recent years, deep learning-based computer vision systems have been...

13 Nam Le, et al. ∙

research

∙ 08/23/2021

Learned Image Coding for Machines: A Content-Adaptive Approach

Today, according to the Cisco Annual Internet Report (2018-2023), the fa...

8 Nam Le, et al. ∙

research

∙ 08/16/2021

On the Importance of Encrypting Deep Features

In this study, we analyze model inversion attacks with only two assumpti...

0 Xingyang Ni, et al. ∙

research

∙ 06/22/2021

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry

We present HybVIO, a novel hybrid approach for combining filtering-based...

0 Otto Seiskari, et al. ∙

research

∙ 05/12/2021

FlipReID: Closing the Gap between Training and Inference in Person Re-Identification

Since neural networks are data-hungry, incorporating data augmentation i...

0 Xingyang Ni, et al. ∙

research

∙ 05/10/2021

Sample selection for efficient image annotation

Supervised object detection has been proven to be successful in many ben...

0 Bishwo Adhikari, et al. ∙

research

∙ 05/09/2021

Selective Probabilistic Classifier Based on Hypothesis Testing

In this paper, we propose a simple yet effective method to deal with the...

0 Saeed Bakhshi Germi, et al. ∙

research

∙ 04/17/2021

Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations

The objective of this paper is to perform audio-visual sound source sepa...

0 Lingyu Zhu, et al. ∙

research

∙ 04/07/2021

Single Source One Shot Reenactment using Weighted motion From Paired Feature Points

Image reenactment is a task where the target object in the source image ...

0 Soumya Tripathy, et al. ∙

research

∙ 12/18/2020

Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion

In this paper, we address the problem of fusing monocular depth estimati...

0 Lam Huynh, et al. ∙

research

∙ 11/29/2020

RGBD-Net: Predicting color and depth images for novel views synthesis

We address the problem of novel view synthesis from an unstructured set ...

12 Phong Nguyen, et al. ∙

research

∙ 11/09/2020

FACEGAN: Facial Attribute Controllable rEenactment GAN

The face reenactment is a popular facial animation method where the pers...

3 Soumya Tripathy, et al. ∙

research

∙ 09/01/2020

Uncovering Hidden Challenges in Query-Based Video Moment Retrieval

The query-based moment retrieval is a problem of localising a specific c...

4 Mayu Otani, et al. ∙

research

∙ 07/31/2020

L^2C – Learning to Learn to Compress

In this paper we present an end-to-end meta-learned system for image com...

8 Nannan Zou, et al. ∙

research

∙ 07/15/2020

Separating Sounds from a Single Image

Recently, visual information has been widely used to aid the sound sourc...

19 Lingyu Zhu, et al. ∙

research

∙ 06/04/2020

Visually Guided Sound Source Separation using Cascaded Opponent Filter Network

The objective of this paper is to recover the original component signals...

5 Lingyu Zhu, et al. ∙

research

∙ 05/17/2020

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

Dense video captioning aims to localize and describe important events in...

0 Vladimir Iashin, et al. ∙

research

∙ 04/20/2020

End-to-End Learning for Video Frame Compression with Self-Attention

One of the core components of conventional (i.e., non-learned) video cod...

7 Nannan Zou, et al. ∙

research

∙ 04/09/2020

Sequential Neural Rendering with Transformer

This paper address the problem of novel view synthesis by means of neura...

0 Phong Nguyen-Ha, et al. ∙

research

∙ 04/06/2020

Guiding Monocular Depth Estimation Using Depth-Attention Volume

Recovering the scene depth from a single image is an ill-posed problem t...

0 Lam Huynh, et al. ∙

research

∙ 03/17/2020

Multi-modal Dense Video Captioning

Dense video captioning is a task of localizing interesting events from a...

0 Vladimir Iashin, et al. ∙

research

∙ 05/25/2019

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction

This paper presents a conceptually simple and effective Deep Audio-Visua...

0 Hamed R. Tavakoli, et al. ∙

research

∙ 04/12/2019

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Knee osteoarthritis (OA) is the most common musculoskeletal disease with...

8 Aleksei Tiulpin, et al. ∙

research

∙ 04/12/2019

Digging Deeper into Egocentric Gaze Prediction

This paper digs deeper into factors that influence egocentric gaze. Inst...

0 Hamed R. Tavakoli, et al. ∙

research

∙ 04/10/2019

Predicting Novel Views Using Generative Adversarial Query Network

The problem of predicting a novel view of the scene using an arbitrary n...

0 Phong Nguyen-Ha, et al. ∙

research

∙ 04/03/2019

ICface: Interpretable and Controllable Face Reenactment Using GANs

This paper presents a generic face animator that is able to control the ...

0 Soumya Tripathy, et al. ∙

research

∙ 03/27/2019

Rethinking the Evaluation of Video Summaries

Video summarization is a technique to create a short skim of the origina...

0 Mayu Otani, et al. ∙

Esa Rahtu

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