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09/20/2023
Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining
Hyperspectral Imaging (HSI) serves as a non-destructive spatial spectros...
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06/01/2023
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction
Predicting the future motion of observed vehicles is a crucial enabler f...
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03/07/2023
SpinDOE: A ball spin estimation method for table tennis robot
Spin plays a considerable role in table tennis, making a shot's trajecto...
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03/01/2023
Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction
For successful deployment of robots in multifaceted situations, an under...
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02/15/2023
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
The field of motion prediction for automated driving has seen tremendous...
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09/10/2022
Real-time event simulation with frame-based cameras
Event cameras are becoming increasingly popular in robotics and computer...
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09/05/2022
Wavelength-aware 2D Convolutions for Hyperspectral Imaging
Deep Learning could drastically boost the classification accuracy for Hy...
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03/29/2022
Gaze-based Object Detection in the Wild
In human-robot collaboration, one challenging task is to teach a robot n...
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03/01/2022
Comprehensive Analysis of the Object Detection Pipeline on UAVs
An object detection pipeline comprises a camera that captures the scene ...
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12/23/2021
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks
We present FourierMask, which employs Fourier series combined with impli...
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11/24/2021
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation
Stereo vision is an effective technique for depth estimation with broad ...
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09/07/2021
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis
Learning to play table tennis is a challenging task for robots, due to t...
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09/01/2021
Seeing Implicit Neural Representations as Fourier Series
Implicit Neural Representations (INR) use multilayer perceptrons to repr...
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08/31/2021
Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training
A fundamental challenge in Deep Learning is to find optimal step sizes f...
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08/23/2021
Separable Convolutions for Optimizing 3D Stereo Networks
Deep learning based 3D stereo networks give superior performance compare...
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08/22/2021
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
Recent methods in stereo matching have continuously improved the accurac...
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07/09/2021
Score refinement for confidence-based 3D multi-object tracking
Multi-object tracking is a critical component in autonomous navigation, ...
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06/15/2021
Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking
Bin picking is a core problem in industrial environments and robotics, w...
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06/04/2021
Tackling the Background Bias in Sparse Object Detection via Cropped Windows
Object detection on Unmanned Aerial Vehicles (UAVs) is still a challengi...
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05/05/2021
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and ...
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04/23/2021
Inter-choice dependent super-network weights
The automatic design of architectures for neural networks, Neural Archit...
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04/20/2021
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
We present a system to measure the ripeness of fruit with a hyperspectra...
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03/31/2021
Empirically explaining SGD from a line search perspective
Optimization in Deep Learning is mainly guided by vague intuitions and s...
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01/29/2021
Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing
In this work, we introduce a new preprocessing step applicable to UAV bi...
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01/29/2021
Leveraging domain labels for object detection from UAVs
Object detection from Unmanned Aerial Vehicles (UAVs) is of great import...
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11/06/2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Reinforcement learning (RL) has recently shown impressive success in var...
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10/02/2020
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
A fundamental challenge in deep learning is that the optimal step sizes ...
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02/07/2020
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders
We present FourierNet a single shot, anchor-free, fully convolutional in...
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06/18/2019
Prune and Replace NAS
While recent NAS algorithms are thousands of times faster than the pione...
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05/20/2019
Spin Detection in Robotic Table Tennis
In table tennis the rotation (spin) of the ball plays a crucial role. A ...
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05/07/2019
Collaborative Localization and Tracking with Minimal Infrastructure
Localization and tracking are two very active areas of research for robo...
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03/28/2019
PAL: A fast DNN optimization method based on curvature information
We present a novel optimizer for deep neural networks that combines the ...
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12/07/2018