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Found 8 papers, 4 papers with code
High-Fidelity Image Inpainting with Multimodal Guided GAN Inversion
Despite excellence, they ignore a hard constraint that the unmasked regions in the input and the output should be the same, resulting in a gap between GAN inversion and image inpainting and thus degrading the performance.
OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding
Each sequence in BOSTVG, paired with a free-form textual query, encompasses a varying number of targets ranging from 1 to 10.
Beyond MOT: Semantic Multi-Object Tracking
Current multi-object tracking (MOT) aims to predict trajectories of targets (i. e., ''where'') in videos.
Towards Realistic Visual Dubbing with Heterogeneous Sources
The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video.
Improving RNN transducer with normalized jointer network
In this work, we analyze the cause of the huge gradient variance in RNN-T training and proposed a new \textit{normalized jointer network} to overcome it.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Universal Phone Recognition with a Multilingual Allophone System
Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages.
Enabling Real-time Neural IME with Incremental Vocabulary Selection
Input method editor (IME) converts sequential alphabet key inputs to words in a target language.
Real-time Neural-based Input Method
The input method is an essential service on every mobile and desktop devices that provides text suggestions.
