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08/18/2023
Vision Relation Transformer for Unbiased Scene Graph Generation
Recent years have seen a growing interest in Scene Graph Generation (SGG...
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08/11/2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
The field of explainable artificial intelligence (XAI) aims to uncover t...
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05/16/2023
Content-Adaptive Downsampling in Convolutional Neural Networks
Many convolutional neural networks (CNNs) rely on progressive downsampli...
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02/03/2023
Integrated Communication and Control Systems: A Data Significance Perspective
The interconnected smart devices and industrial internet of things devic...
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11/25/2022
Efficient Feature Extraction for High-resolution Video Frame Interpolation
Most deep learning methods for video frame interpolation consist of thre...
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11/22/2022
S^2-Flow: Joint Semantic and Style Editing of Facial Images
The high-quality images yielded by generative adversarial networks (GANs...
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11/10/2022
Optimizing the Age of Information in Mixed-Critical Wireless Communication Networks
Beyond fifth generation wireless communication networks (B5G) are applie...
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08/11/2022
Approximation-based Threshold Optimization from Single Antenna to Massive SIMO Authentication
In a wireless sensor network, data from various sensors are gathered to ...
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08/10/2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Despite years of research, out-of-domain generalization remains a critic...
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05/03/2022
Diverse Image Captioning with Grounded Style
Stylized image captioning as presented in prior work aims to generate ca...
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04/25/2022
Comeback Kid: Resilience for Mixed-Critical Wireless Network Resource Management
The future sixth generation (6G) of communication systems is envisioned ...
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02/16/2022
Energy Efficiency in Rate-Splitting Multiple Access with Mixed Criticality
Future sixth generation (6G) wireless communication networks face the ne...
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12/03/2021
IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing
Wireless radio channels are known to contain information about the surro...
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11/15/2021
Fast Axiomatic Attribution for Neural Networks
Mitigating the dependence on spurious correlations present in the traini...
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11/11/2021
Dense Unsupervised Learning for Video Segmentation
We present a novel approach to unsupervised learning for video object se...
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10/17/2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
Autoregressive models are a class of exact inference approaches with hig...
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09/13/2021
xGQA: Cross-Lingual Visual Question Answering
Recent advances in multimodal vision and language modeling have predomin...
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09/09/2021
TxT: Crossmodal End-to-End Learning with Transformers
Reasoning over multiple modalities, e.g. in Visual Question Answering (V...
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05/05/2021
Self-Supervised Multi-Frame Monocular Scene Flow
Estimating 3D scene flow from a sequence of monocular images has been ga...
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04/30/2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
We propose an approach to domain adaptation for semantic segmentation th...
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03/18/2021
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
We present a simple and effective approach for non-blind image deblurrin...
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03/15/2021
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
To adopt neural networks in safety critical domains, knowing whether we ...
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12/14/2020
Localization Attack by Precoder Feedback Overhearing in 5G Networks and Countermeasures
In fifth-generation (5G) cellular networks, users feed back to the base ...
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11/02/2020
Diverse Image Captioning with Context-Object Split Latent Spaces
Diverse image captioning models aim to learn one-to-many mappings that a...
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10/15/2020
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
Standardized benchmarks have been crucial in pushing the performance of ...
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07/11/2020
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning
General-purpose trajectory planning algorithms for automated driving uti...
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05/28/2020
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
State-of-the-art object detection approaches such as Fast/Faster R-CNN, ...
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05/16/2020
Single-Stage Semantic Segmentation from Image Labels
Recent years have seen a rapid growth in new approaches improving the ac...
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05/11/2020
Remote Short Blocklength Process Monitoring: Trade-off Between Resolution and Data Freshness
In cyber-physical systems, as in 5G and beyond, multiple physical proces...
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04/08/2020
Self-Supervised Monocular Scene Flow Estimation
Scene flow estimation has been receiving increasing attention for 3D env...
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04/08/2020
Normalizing Flows with Multi-Scale Autoregressive Priors
Flow-based generative models are an important class of exact inference m...
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04/06/2020
Optical Flow Estimation in the Deep Learning Age
Akin to many subareas of computer vision, the recent advances in deep le...
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03/31/2020
Probabilistic Pixel-Adaptive Refinement Networks
Encoder-decoder networks have found widespread use in various dense pred...
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03/19/2020
MOT20: A benchmark for multi object tracking in crowded scenes
Standardized benchmarks are crucial for the majority of computer vision ...
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02/16/2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
Learned joint representations of images and text form the backbone of se...
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12/07/2019
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
General-purpose planning algorithms for automated driving combine missio...
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09/26/2019
Markov Decision Process for Video Generation
We identify two pathological cases of temporal inconsistencies in video ...
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09/26/2019
Deep Video Deblurring: The Devil is in the Details
Video deblurring for hand-held cameras is a challenging task, since the ...
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09/14/2019
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings
One of the key challenges in learning joint embeddings of multiple modal...
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09/09/2019
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
Dense prediction tasks typically employ encoder-decoder architectures, b...
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06/10/2019
CVPR19 Tracking and Detection Challenge: How crowded can it get?
Standardized benchmarks are crucial for the majority of computer vision ...
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05/01/2019
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving
Behavior and motion planning play an important role in automated driving...
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04/10/2019
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Deep learning approaches to optical flow estimation have seen rapid prog...
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04/10/2019
Actor-Critic Instance Segmentation
Most approaches to visual scene analysis have emphasised parallel proces...
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11/26/2018
Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN
In this paper we study the impact of unmanned aerial vehicles (UAVs) tra...
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10/30/2018
Neural Nearest Neighbors Networks
Non-local methods exploiting the self-similarity of natural signals have...
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10/21/2018
On a linear functional for infinitely divisible moving average random fields
Given a low-frequency sample of the infinitely divisible moving average ...
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10/04/2018
Multi-view X-ray R-CNN
Motivated by the detection of prohibited objects in carry-on luggage as ...
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07/05/2018
A solution to a linear integral equation with an application to statistics of infinitely divisible moving averages
For given measurable functions g,h:R^d →R and a (weighted) L^2-function ...
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05/29/2018