Search Results for author:
Found 8 papers, 3 papers with code
MMTM: Multimodal Transfer Module for CNN Fusion
In late fusion, each modality is processed in a separate unimodal Convolutional Neural Network (CNN) stream and the scores of each modality are fused at the end.
Ranked #3 on
Hand Gesture Recognition
on NVGesture
Adaptive Token Sampling For Efficient Vision Transformers
Since ATS is a parameter-free module, it can be added to the off-the-shelf pre-trained vision transformers as a plug and play module, thus reducing their GFLOPs without any additional training.
Ranked #13 on
Efficient ViTs
on ImageNet-1K (with DeiT-S)
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
We present an efficient approach for leveraging the knowledge from multiple modalities in training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand gesture recognition.
DIY Human Action Data Set Generation
Therefore, the ability to generate de novo data or expand an existing data set, however small, in order to satisfy data requirement of current networks may be invaluable.
Camera Calibration for Daylight Specular-Point Locus
First we prove theoretically that any candidate specular points, for an image that is generated by a specific camera and taken under a daylight, must lie on a straight line in log-chromaticity space, for a chromaticity that is generated using a geometric-mean denominator.
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
Sign language recognition is a challenging and often underestimated problem comprising multi-modal articulators (handshape, orientation, movement, upper body and face) that integrate asynchronously on multiple streams.
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig
To our knowledge this is the most complete dataset for super resolution, ISP and image quality enhancement.
Network Architecture Search for Face Enhancement
Poor quality face images often reduce the performance of face analysis and recognition systems.
