Given two images depicting a person and a garment worn by another person...
Optical coherence tomography angiography (OCTA) is a new imaging modalit...
Efficient inference for object detection networks is a major challenge o...
Post-training quantization (PTQ) is a popular method for compressing dee...
As a neural network compression technique, post-training quantization (P...
Affective computing plays a key role in human-computer interactions,
ent...
In Autonomous Driving (AD) systems, perception is both security and safe...
Understanding spatial relations (e.g., "laptop on table") in visual inpu...
Deep neural networks (DNNs) are found to be vulnerable against adversari...
Synthetic images rendered by graphics engines are a promising source for...
Highly expressive models such as deep neural networks (DNNs) have been w...
Many previous causal inference studies require no interference among uni...
Batch Normalization (BN) is capable of accelerating the training of deep...
In this paper, we address the shape-from-shading problem by training dee...
This paper studies single-image depth perception in the wild, i.e.,
reco...