- Transducers
- Spatial and Multichannel Audio
- Source Separation and Signal Enhancement
- Room Acoustics and Acoustic System Modeling
- Network Audio
- Audio for Multimedia
- Audio Processing Systems
- Audio Coding
- Audio Analysis and Synthesis
- Active Noise Control
- Auditory Modeling and Hearing Aids
- Bioacoustics and Medical Acoustics
- Music Signal Processing
- Loudspeaker and Microphone Array Signal Processing
- Echo Cancellation
- Content-Based Audio Processing
- Categories:
- Read more about Linear classification in speech-based objective differential diagnosis of Parkinsonism
- Log in to post comments
- Categories:
- Read more about Deep Geometric Matrix Completion
- Log in to post comments
ICASSP.pdf
- Categories:
- Read more about A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution
- Log in to post comments
- Categories:
- Read more about Performance Evaluation of Beacons for Indoor Localization in Smart Buildings
- Log in to post comments
- Categories:
- Read more about Recognition of Spoofed Voice Using Convolutional Neural Networks
- Log in to post comments
- Categories:
Reconstruction of signals from compressively sensed measurements is an ill-posed problem. In this paper, we leverage the recurrent generative model, RIDE, as an image prior for compressive image reconstruction. Recurrent networks can model long-range dependencies in images and hence are suitable to handle global multiplexing in reconstruction from compressive imaging. We perform MAP inference with RIDE using back-propagation to the inputs and projected gradient method. We propose an entropy thresholding based approach for preserving texture in images well.
- Categories:
- Read more about Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection
- Log in to post comments
With the development of depth cameras such as Kinect and Intel Realsense, RGB-D based human detection receives continuous research attention due to its usage in a variety of applications. In this paper, we propose a new Multi-Glimpse LSTM (MG-LSTM) network, in which multi-scale contextual information is sequentially integrated to promote the human detection performance. Furthermore, we propose a feature fusion strategy based on our MG-LSTM network to better incorporate the RGB and depth information.
ICIP_ORAL.pdf
- Categories:
- Read more about DEFORMATION TRANSFER OF 3D HUMAN SHAPES AND POSES ON MANIFOLDS
- Log in to post comments
- Categories: