Danda Pani Paudel

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

∙ 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

∙ 07/20/2023

Improving Online Lane Graph Extraction by Object-Lane Clustering

Autonomous driving requires accurate local scene understanding informati...

0 Yigit Baran Can, et al. ∙

research

∙ 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

∙ 03/22/2023

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

∙ 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

∙ 12/02/2022

Neural Radiance Fields for Manhattan Scenes with Unknown Manhattan Frame

Novel view synthesis and 3D modeling using implicit neural field represe...

0 Nikola Popovic, et al. ∙

research

∙ 11/14/2022

Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images

We study the problem of estimating 3D shape and pose of an object in ter...

0 Yigit Baran Can, et al. ∙

research

∙ 08/02/2022

Robust RGB-D Fusion for Saliency Detection

Efficiently exploiting multi-modal inputs for accurate RGB-D saliency de...

0 Zongwei Wu, et al. ∙

research

∙ 06/03/2022

Gradient Obfuscation Checklist Test Gives a False Sense of Security

One popular group of defense techniques against adversarial attacks is b...

0 Nikola Popovic, et al. ∙

research

∙ 05/11/2022

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

There have been emerging a number of benchmarks and techniques for the d...

0 Chuqiao Li, et al. ∙

research

∙ 03/25/2022

Spatially Multi-conditional Image Generation

In most scenarios, conditional image generation can be thought of as an ...

0 Ritika Chakraborty, et al. ∙

research

∙ 03/21/2022

Transforming Model Prediction for Tracking

Optimization based tracking methods have been widely successful by integ...

8 Christoph Mayer, et al. ∙

research

∙ 03/20/2022

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

Previous advances in object tracking mostly reported on favorable illumi...

0 Junjie Ye, et al. ∙

research

∙ 01/17/2022

Collapse by Conditioning: Training Class-conditional GANs with Limited Data

Class-conditioning offers a direct means of controlling a Generative Adv...

9 Mohamad Shahbazi, et al. ∙

research

∙ 12/30/2021

Stochastic Layers in Vision Transformers

We introduce fully stochastic layers in vision transformers, without cau...

0 Nikola Popovic, et al. ∙

research

∙ 12/19/2021

End-to-End Learning of Multi-category 3D Pose and Shape Estimation

In this paper, we study the representation of the shape and pose of obje...

0 Yigit Baran Can, et al. ∙

research

∙ 12/19/2021

Topology Preserving Local Road Network Estimation from Single Onboard Camera Image

Knowledge of the road network topology is crucial for autonomous plannin...

3 Yigit Baran Can, et al. ∙

research

∙ 10/05/2021

Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images

Autonomous navigation requires structured representation of the road net...

0 Yigit Baran Can, et al. ∙

research

∙ 09/10/2021

TADA: Taxonomy Adaptive Domain Adaptation

Traditional domain adaptation addresses the task of adapting a model to ...

0 Rui Gong, et al. ∙

research

∙ 05/23/2021

Boosting Crowd Counting with Transformers

Significant progress on the crowd counting problem has been achieved by ...

0 Guolei Sun, et al. ∙

research

∙ 05/18/2021

Unsupervised Compound Domain Adaptation for Face Anti-Spoofing

We address the problem of face anti-spoofing which aims to make the face...

0 Ankush Panwar, et al. ∙

research

∙ 05/17/2021

Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

We present an approach for encoding visual task relationships to improve...

12 Suman Saha, et al. ∙

research

∙ 03/30/2021

Learning Target Candidate Association to Keep Track of What Not to Track

The presence of objects that are confusingly similar to the tracked targ...

0 Christoph Mayer, et al. ∙

research

∙ 03/26/2021

Unsupervised Robust Domain Adaptation without Source Data

We study the problem of robust domain adaptation in the context of unava...

0 Peshal Agarwal, et al. ∙

research

∙ 02/12/2021

Efficient Conditional GAN Transfer with Knowledge Propagation across Classes

Generative adversarial networks (GANs) have shown impressive results in ...

16 Mohamad Shahbazi, et al. ∙

research

∙ 12/31/2020

Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes

Monocular depth reconstruction of complex and dynamic scenes is a highly...

7 Ayça Takmaz, et al. ∙

research

∙ 12/24/2020

An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

Video enhancement is a challenging problem, more than that of stills, ma...

16 Dario Fuoli, et al. ∙

research

∙ 12/16/2020

CompositeTasking: Understanding Images by Spatial Composition of Tasks

We define the concept of CompositeTasking as the fusion of multiple, spa...

0 Nikola Popovic, et al. ∙

research

∙ 12/15/2020

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation

Open compound domain adaptation (OCDA) is a domain adaptation setting, w...

0 Rui Gong, et al. ∙

research

∙ 10/19/2020

Facial Emotion Recognition with Noisy Multi-task Annotations

Human emotions can be inferred from facial expressions. However, the ann...

0 Siwei Zhang, et al. ∙

research

∙ 08/27/2020

Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images

Image features for retrieval-based localization must be invariant to dyn...

3 Janine Thoma, et al. ∙

research

∙ 07/04/2020

Self-Calibration Supported Robust Projective Structure-from-Motion

Typical Structure-from-Motion (SfM) pipelines rely on finding correspond...

19 Rui Gong, et al. ∙

research

∙ 03/21/2020

Geometrically Mappable Image Features

Vision-based localization of an agent in a map is an important problem i...

2 Janine Thoma, et al. ∙

research

∙ 03/17/2020

Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets

Automatic discovery of category-specific 3D keypoints from a collection ...

5 Clara Fernandez-Labrador, et al. ∙

research

∙ 12/15/2019

Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing

Nowadays, the increasingly growing number of mobile and computing device...

10 Suman Saha, et al. ∙

research

∙ 10/23/2019

Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement

This paper introduces a divide-and-conquer inspired adversarial learning...

15 Zhiwu Huang, et al. ∙

research

∙ 09/26/2019

Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision

In this paper, we formulate a generic non-minimal solver using the exist...

23 Thomas Probst, et al. ∙

research

∙ 04/10/2019

Sliced Wasserstein Generative Models

In generative modeling, the Wasserstein distance (WD) has emerged as a u...

46 Jiqing Wu, et al. ∙

research

∙ 12/10/2018

Image-based Navigation using Visual Features and Map

Building on progress in feature representations for image retrieval, ima...

4 Janine Thoma, et al. ∙

research

∙ 10/04/2018

Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs

The extension of image generation to video generation turns out to be a ...

0 Dinesh Acharya, et al. ∙

research

∙ 08/13/2018

Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length

The perspective camera and the isometric surface prior have recently gat...

0 Thomas Probst, et al. ∙

research

∙ 07/05/2018

Model-free Consensus Maximization for Non-Rigid Shapes

Many computer vision methods rely on consensus maximization to relate me...

4 Thomas Probst, et al. ∙

research

∙ 12/04/2017

Face Translation between Images and Videos using Identity-aware CycleGAN

This paper presents a new problem of unpaired face translation between i...

0 Zhiwu Huang, et al. ∙

research

∙ 11/30/2017

Towards an Understanding of Our World by GANing Videos in the Wild

Existing generative video models work well only for videos with a static...

0 Bernhard Kratzwald, et al. ∙

Danda Pani Paudel

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