Search Results for author:
Found 9 papers, 3 papers with code
STT: Stateful Tracking with Transformers for Autonomous Driving
In this paper, we propose STT, a Stateful Tracking model built with Transformers, that can consistently track objects in the scenes while also predicting their states accurately.
One-Shot Video Inpainting
Usually, a video sequence and object segmentation masks for all frames are required as the input for this task.
Expanded Adaptive Scaling Normalization for End to End Image Compression
Then, we increase the receptive field to make the adaptive rescaling module consider the spatial correlation.
Exploring Discontinuity for Video Frame Interpolation
Lastly, we propose loss functions to give supervisions of the discontinuous motion areas which can be applied along with FTM and D-map.
Predicting post-operative right ventricular failure using video-based deep learning
Non-invasive and cost effective in nature, the echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves.
Test-Time Adaptation for Out-of-distributed Image Inpainting
From this test-time adaptation, our network can exploit externally learned image priors from the pre-trained features as well as the internal prior of the test image explicitly.
5W1H-based Expression for the Effective Sharing of Information in Digital Forensic Investigations
Based on the 5W1H-based expression, digital information from different types of files is converted and represented in the same format of outputs.
Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation
Unlike previous studies that usually have been focused on the design of modules or construction of networks, we propose a novel Extrapolative-Interpolative Cycle (EIC) loss using pre-trained frame interpolation module to improve extrapolation performance.
Forensic analysis of the Windows telemetry for diagnostics
In this paper, we introduced how to acquire RBS files telemetry and analyzed the data structure of these RBS files, which are able to determine the types of information that Windows OS have been collected.
Cryptography and Security
