Search Results for author:
Found 7 papers, 3 papers with code
Modeling Uncertainty with Hedged Instance Embeddings
Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering.
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection
The dataset contains temporally labeled face tracks in video, where each face instance is labeled as speaking or not, and whether the speech is audible.
Audio-Visual Active Speaker Detection
speaker-diarization
+2
Modeling Uncertainty with Hedged Instance Embedding
Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering.
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies
Speech activity detection (or endpointing) is an important processing step for applications such as speech recognition, language identification and speaker diarization.
Sound Audio and Speech Processing
Monocular Video-Based Trailer Coupler Detection Using Multiplexer Convolutional Neural Network
This paper presents an automated monocular-camera-based computer vision system for autonomous self-backing-up a vehicle towards a trailer, by continuously estimating the 3D trailer coupler position and feeding it to the vehicle control system, until the alignment of the tow hitch with the trailers coupler.
Adaptive 3D Face Reconstruction From Unconstrained Photo Collections
Given a collection of "in-the-wild" face images captured under a variety of unknown pose, expression, and illumination conditions, this paper presents a method for reconstructing a 3D face surface model of an individual along with albedo information.
Unconstrained 3D Face Reconstruction
Second, by leveraging emerging face alignment techniques and our novel normal field-based Laplace editing, a combination of landmark constraints and photometric stereo-based normals drives our surface reconstruction.
