We present NeRF-Det, a novel method for indoor 3D detection with posed R...
We present the design of a productionized end-to-end stereo depth sensin...
Direct time-of-flight (dToF) sensors are promising for next-generation
o...
Latent Factor (LF) models are effective in representing high-dimension a...
Human activity recognition (HAR) based on multimodal sensors has become ...
The majority of self-supervised monocular depth estimation methods focus...
Neural Architecture Search (NAS) has been widely adopted to design accur...
Localizing stereo boundaries and predicting nearby disparities are diffi...
Robust optimization has been widely used in nowadays data science, espec...
End-to-end deep learning methods have advanced stereo vision in recent y...
Human stereo vision uses occlusions as a prominent cue, sometimes the on...
We provide a general framework for characterizing the trade-off between
...