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Found 9 papers, 3 papers with code
X$^3$KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
Specifically, we propose cross-task distillation from an instance segmentation teacher (X-IS) in the PV feature extraction stage providing supervision without ambiguous error backpropagation through the view transformation.
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
Specifically, we propose cross-task distillation from an instance segmentation teacher (X-IS) in the PV feature extraction stage providing supervision without ambiguous error backpropagation through the view transformation.
Ranked #5 on
3D Object Detection
on nuscenes Camera-Radar
Deep Markov Spatio-Temporal Factorization
This results in a flexible family of hierarchical deep generative factor analysis models that can be extended to perform time series clustering or perform factor analysis in the presence of a control signal.
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences
Our model, called generative low-dimensional background model (G-LBM) admits variational operations on the distribution of the manifold coordinates and simultaneously generates a low-rank structure of the latent manifold given the data.
Target-Specific Action Classification for Automated Assessment of Human Motor Behavior from Video
Over the past decade, significant advances have been made in the use of wearable technology for continuously monitoring human motor behavior in free-living conditions.
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences
This paper presents a novel unsupervised probabilistic model estimation of visual background in video sequences using a variational autoencoder framework.
Background Subtraction via Fast Robust Matrix Completion
In this regard, our paper addresses the problem of background modeling in a computationally efficient way, which is important for current eruption of "big data" processing coming from high resolution multi-channel videos.
Using Virtual Humans to Understand Real Ones
Human interactions are characterized by explicit as well as implicit channels of communication.
Decoding Emotional Experience through Physiological Signal Processing
Furthermore, in order to avoid information redundancy and the resultant over-fitting, a feature reduction method is proposed based on a correlation analysis to optimize the number of features required for training and validating each weak learner.
