Search Results for author:
Found 3 papers, 3 papers with code
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping
To the best of our knowledge, this is the first non-learning work to realize event-based dense mapping.
PL-EVIO: Robust Monocular Event-based Visual Inertial Odometry with Point and Line Features
Compared with the standard cameras, it can provide reliable visual perception during high-speed motions and in high dynamic range scenarios.
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
In particular, audio and visual front-ends are trained on large-scale unimodal datasets, then we integrate components of both front-ends into a larger multimodal framework which learns to recognize parallel audio-visual data into characters through a combination of CTC and seq2seq decoding.
Ranked #2 on
Automatic Speech Recognition (ASR)
on LRS2
Audio-Visual Speech Recognition
Automatic Speech Recognition (ASR)
+7
