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Found 22 papers, 8 papers with code
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge.
Scaling Up Diffusion and Flow-based XGBoost Models
Novel machine learning methods for tabular data generation are often developed on small datasets which do not match the scale required for scientific applications.
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
To address this limitation, we aim to solve the video deblurring task by leveraging an event camera with micro-second temporal resolution.
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
In low-light conditions, capturing videos with frame-based cameras often requires long exposure times, resulting in motion blur and reduced visibility.
Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis
To address this problem, we present the Period Singer architecture, which integrates variational autoencoders for the periodic and aperiodic components.
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
In this paper we propose a test-time adaptation method for event-based VFI to address the gap between the source and target domains.
Frequency-aware Event-based Video Deblurring for Real-World Motion Blur
Despite notable progress in video deblurring works it is still a challenging problem because of the loss of motion information during the duration of the exposure time.
Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor
Such an instrument suite could generate 10, 000x more raw data than is possible to transmit from distant ocean worlds like Enceladus or Europa.
RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage
However, we observed that previous approaches still suffer from source attribute leakage, where the source image's attributes interfere with the target image's.
Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment
Motion deblurring from a blurred image is a challenging computer vision problem because frame-based cameras lose information during the blurring process.
Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields
Video Frame Interpolation (VFI) aims to generate intermediate video frames between consecutive input frames.
Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator
Despite the rapid improvement of autonomous driving technology in recent years, automotive manufacturers must resolve liability issues to commercialize autonomous passenger car of SAE J3016 Level 3 or higher.
Morphology-Aware Interactive Keypoint Estimation
To fully automate this procedure, deep-learning-based methods have been widely proposed and have achieved high performance in detecting keypoints in medical images.
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment
Editing hairstyle is unique and challenging due to the complexity and delicacy of hairstyle.
HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting
Hairstyle transfer is the task of modifying a source hairstyle to a target one.
Event-guided Deblurring of Unknown Exposure Time Videos
To this end, we first derive a new formulation for event-guided motion deblurring by considering the exposure and readout time in the video frame acquisition process.
Ambiguity Adaptive Inference and Single-shot based Channel Pruning for Satellite Processing Environments
In a restricted computing environment like satellite on-board systems, running DL models has limitation on high-speed processing due to the problems such as restriction of available power to consume compared to the relatively high computational complexity.
K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification
In response, we introduce a novel large-scale Korean hairstyle dataset, K-hairstyle, containing 500, 000 high-resolution images.
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
Moreover, we propose a vehicle controller based on control parameters enabling integrated lateral and longitudinal control via preference-aware maneuvering of autonomous vehicles.
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection
Then, we show that the original cut-and-paste approach suffers from a new domain gap problem, an unbalanced domain gaps, because it has two separate source domains for foreground and background, unlike the conventional domain shift problem.
C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning
The motion retargeting learning is performed using refined data in a latent space by the cyclic and filtering paths of our method.
On Federated Learning of Deep Networks from Non-IID Data: Parameter Divergence and the Effects of Hyperparametric Methods
Federated learning, where a global model is trained by iterative parameter averaging of locally-computed updates, is a promising approach for distributed training of deep networks; it provides high communication-efficiency and privacy-preservability, which allows to fit well into decentralized data environments, e. g., mobile-cloud ecosystems.
