Search Results for author:
Found 7 papers, 2 papers with code
On the Evaluation of Generative Robotic Simulations
For single-task quality, we evaluate the realism of the generated task and the completeness of the generated trajectories using large language models and vision-language models.
EvDiG: Event-guided Direct and Global Components Separation
In this paper we leverage the event camera to facilitate the separation of direct and global components enabling video-rate separation of high quality.
EvPlug: Learn a Plug-and-Play Module for Event and Image Fusion
The learned fusion module integrates event streams with image features in the form of a plug-in, endowing the RGB-based model to be robust to HDR and fast motion scenes while enabling high temporal resolution inference.
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset
Event cameras are emerging imaging technology that offers advantages over conventional frame-based imaging sensors in dynamic range and sensing speed.
Coherent Event Guided Low-Light Video Enhancement
With frame-based cameras, capturing fast-moving scenes without suffering from blur often comes at the cost of low SNR and low contrast.
EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction
This paper proposes to use neuromorphic events for correcting rolling shutter (RS) images as consecutive global shutter (GS) frames.
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events
EventZoom is trained in a noise-to-noise fashion where the two ends of the network are unfiltered noisy events, enforcing noise-free event restoration.
