b'Luc Van Gool'

research

∙ 09/15/2023

Breathing New Life into 3D Assets with Generative Repainting

Diffusion-based text-to-image models ignited immense attention from the ...

0 Tianfu Wang, et al. ∙

research

∙ 09/15/2023

Deformable Neural Radiance Fields using RGB and Event Cameras

Modeling Neural Radiance Fields for fast-moving deformable objects from ...

0 Qi Ma, et al. ∙

research

∙ 09/14/2023

Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation

Modern approaches have proved the huge potential of addressing semantic ...

0 Zhaochong An, et al. ∙

research

∙ 09/08/2023

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding

3D visual grounding is the task of localizing the object in a 3D scene w...

0 Ozan Unal, et al. ∙

research

∙ 08/30/2023

Introducing Language Guidance in Prompt-based Continual Learning

Continual Learning aims to learn a single model on a sequence of tasks w...

0 Muhammad Gul Zain Ali Khan, et al. ∙

research

∙ 08/26/2023

DiffI2I: Efficient Diffusion Model for Image-to-Image Translation

The Diffusion Model (DM) has emerged as the SOTA approach for image synt...

0 Bin Xia, et al. ∙

research

∙ 08/14/2023

DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation

VLN-CE is a recently released embodied task, where AI agents need to nav...

0 Hanqing Wang, et al. ∙

research

∙ 08/08/2023

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study

Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot...

0 Juan Wen, et al. ∙

research

∙ 07/27/2023

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT...

0 Haotong Qin, et al. ∙

research

∙ 07/25/2023

Prior Based Online Lane Graph Extraction from Single Onboard Camera Image

The local road network information is essential for autonomous navigatio...

0 Yigit Baran Can, et al. ∙

research

∙ 07/22/2023

Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis

We propose a novel ECGAN for the challenging semantic image synthesis ta...

0 Hao Tang, et al. ∙

research

∙ 07/20/2023

Improving Online Lane Graph Extraction by Object-Lane Clustering

Autonomous driving requires accurate local scene understanding informati...

0 Yigit Baran Can, et al. ∙

research

∙ 07/07/2023

AutoDecoding Latent 3D Diffusion Models

We present a novel approach to the generation of static and articulated ...

0 Evangelos Ntavelis, 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

∙ 07/05/2023

Prompting Diffusion Representations for Cross-Domain Semantic Segmentation

While originally designed for image generation, diffusion models have re...

0 Rui Gong, et al. ∙

research

∙ 06/19/2023

UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM

We present an uncertainty learning framework for dense neural simultaneo...

0 Erik Sandstrom, et al. ∙

research

∙ 06/07/2023

SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory

Domain adaptive object detection aims to leverage the knowledge learned ...

0 Han Sun, et al. ∙

research

∙ 05/27/2023

Condition-Invariant Semantic Segmentation

Adaptation of semantic segmentation networks to different visual conditi...

0 Christos Sakaridis, et al. ∙

research

∙ 05/19/2023

Equivariant Multi-Modality Image Fusion

Multi-modality image fusion is a technique used to combine information f...

0 Zixiang Zhao, et al. ∙

research

∙ 05/15/2023

Denoising Diffusion Models for Plug-and-Play Image Restoration

Plug-and-play Image Restoration (IR) has been widely recognized as a fle...

0 Yuanzhi Zhu, et al. ∙

research

∙ 04/30/2023

StyleGenes: Discrete and Efficient Latent Distributions for GANs

We propose a discrete latent distribution for Generative Adversarial Net...

0 Evangelos Ntavelis, et al. ∙

research

∙ 04/27/2023

Neural Implicit Dense Semantic SLAM

This paper presents an efficient online framework to solve the well-know...

0 Yasaman Haghighi, et al. ∙

research

∙ 04/27/2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation

With autonomous industries on the rise, domain adaptation of the visual ...

0 Suman Saha, et al. ∙

research

∙ 04/26/2023

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation

Unsupervised domain adaptation (UDA) and domain generalization (DG) enab...

0 Lukas Hoyer, et al. ∙

research

∙ 04/23/2023

Indiscernible Object Counting in Underwater Scenes

Recently, indiscernible scene understanding has attracted a lot of atten...

0 Guolei Sun, et al. ∙

research

∙ 04/21/2023

Advances in Deep Concealed Scene Understanding

Concealed scene understanding (CSU) is a hot computer vision topic aimin...

0 Deng-Ping Fan, et al. ∙

research

∙ 04/18/2023

Quantum Annealing for Single Image Super-Resolution

This paper proposes a quantum computing-based algorithm to solve the sin...

0 Han Yao Choong, et al. ∙

research

∙ 04/14/2023

SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders

Generating a high-quality High Dynamic Range (HDR) image from dynamic sc...

0 Qingsen Yan, et al. ∙

research

∙ 04/12/2023

SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"

Segmenting anything is a ground-breaking step toward artificial general ...

0 Ge-Peng Ji, et al. ∙

research

∙ 04/11/2023

CamDiff: Camouflage Image Augmentation via Diffusion Model

The burgeoning field of camouflaged object detection (COD) seeks to iden...

0 Xue-Jing Luo, et al. ∙

research

∙ 04/09/2023

Point-SLAM: Dense Neural Point Cloud-based SLAM

We propose a dense neural simultaneous localization and mapping (SLAM) a...

0 Erik Sandstrom, et al. ∙

research

∙ 04/03/2023

Online Lane Graph Extraction from Onboard Video

Autonomous driving requires a structured understanding of the surroundin...

0 Yigit Baran Can, et al. ∙

research

∙ 03/31/2023

Single Image Depth Prediction Made Better: A Multivariate Gaussian Take

Neural-network-based single image depth prediction (SIDP) is a challengi...

0 Ce Liu, et al. ∙

research

∙ 03/30/2023

Enhanced Stable View Synthesis

We introduce an approach to enhance the novel view synthesis from images...

0 Nishant Jain, et al. ∙

research

∙ 03/23/2023

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

Deep point cloud registration methods face challenges to partial overlap...

0 Guofeng Mei, et al. ∙

research

∙ 03/22/2023

NeRF-GAN Distillation for Memory-Efficient 3D-Aware Generation with Convolutions

Pose-conditioned convolutional generative models struggle with high-qual...

0 Mohamad Shahbazi, et al. ∙

research

∙ 03/21/2023

Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion

Lidar is a vital sensor for estimating the depth of a scene. Typical spi...

0 Kamil Adamczewski, et al. ∙

research

∙ 03/16/2023

DiffIR: Efficient Diffusion Model for Image Restoration

Diffusion model (DM) has achieved SOTA performance by modeling the image...

0 Bin Xia, et al. ∙

research

∙ 03/15/2023

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution

Guided depth map super-resolution (GDSR), as a hot topic in multi-modal ...

0 Zixiang Zhao, et al. ∙

research

∙ 03/14/2023

Graph Transformer GANs for Graph-Constrained House Generation

We present a novel graph Transformer generative adversarial network (GTG...

0 Hao Tang, et al. ∙

research

∙ 03/13/2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Multi-modality image fusion aims to combine different modalities to prod...

0 Zixiang Zhao, et al. ∙

research

∙ 03/09/2023

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation

Standard unsupervised domain adaptation methods adapt models from a sour...

0 David Bruggemann, et al. ∙

research

∙ 03/07/2023

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

An emerging field of sequential decision problems is safe Reinforcement ...

0 Nick Bührer, et al. ∙

research

∙ 03/07/2023

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction

Data-driven simulation has become a favorable way to train and test auto...

0 Zhejun Zhang, et al. ∙

research

∙ 03/01/2023

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

The aim of this paper is to propose a mechanism to efficiently and expli...

0 Yawei Li, et al. ∙

research

∙ 02/13/2023

VA-DepthNet: A Variational Approach to Single Image Depth Prediction

We introduce VA-DepthNet, a simple, effective, and accurate deep neural ...

0 Ce Liu, et al. ∙

research

∙ 01/12/2023

Event-Based Frame Interpolation with Ad-hoc Deblurring

The performance of video frame interpolation is inherently correlated wi...

0 Lei Sun, et al. ∙

research

∙ 12/10/2022

Source-free Depth for Object Pop-out

Depth cues are known to be useful for visual perception. However, direct...

0 Zongwei Wu, et al. ∙

research

∙ 12/10/2022

CamoFormer: Masked Separable Attention for Camouflaged Object Detection

How to identify and segment camouflaged objects from the background is c...

0 Bowen Yin, et al. ∙

research

∙ 12/05/2022

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification

Recent works have shown that unstructured text (documents) from online s...

0 Muhammad Ferjad Naeem, et al. ∙

Luc Van Gool

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