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Found 13 papers, 4 papers with code
Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model
Many will be motivated to distill specific capabilities of foundational models into smaller models that can be owned and controlled.
Motion-Conditioned Image Animation for Video Editing
We introduce MoCA, a Motion-Conditioned Image Animation approach for video editing.
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
We present Emu Video, a text-to-video generation model that factorizes the generation into two steps: first generating an image conditioned on the text, and then generating a video conditioned on the text and the generated image.
Causal Video Summarizer for Video Exploration
Multi-modal video summarization has a video input and a text-based query input.
VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge
This paper summarises the findings from the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22), which was held in conjunction with INTERSPEECH 2022.
In search of strong embedding extractors for speaker diarisation
First, the evaluation is not straightforward because the features required for better performance differ between speaker verification and diarisation.
End-to-End Visual Editing with a Generatively Pre-Trained Artist
We consider the targeted image editing problem: blending a region in a source image with a driver image that specifies the desired change.
Face, Body, Voice: Video Person-Clustering with Multiple Modalities
In this paper we make contributions to address both these deficiencies: first, we introduce a Multi-Modal High-Precision Clustering algorithm for person-clustering in videos using cues from several modalities (face, body, and voice).
Automated Video Labelling: Identifying Faces by Corroborative Evidence
We present a method for automatically labelling all faces in video archives, such as TV broadcasts, by combining multiple evidence sources and multiple modalities (visual and audio).
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge
We held the second installment of the VoxCeleb Speaker Recognition Challenge in conjunction with Interspeech 2020.
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Optimising a ranking-based metric, such as Average Precision (AP), is notoriously challenging due to the fact that it is non-differentiable, and hence cannot be optimised directly using gradient-descent methods.
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Vehicle Re-Identification
on VehicleID Medium
Condensed Movies: Story Based Retrieval with Contextual Embeddings
Our objective in this work is long range understanding of the narrative structure of movies.
4-Connected Shift Residual Networks
Interestingly, when incorporating shifts to all point-wise convolutions in residual networks, 4-connected shifts outperform 8-connected shifts.
