38 citations · 79 across the 19 of their papers we have counts for
8 papers · 1 filter
Towards Understanding the Effect of Pretraining Label Granularity
Guan Zhe Hong, Yin Cui, Ariel Fuxman +2
In this paper, we study how the granularity of pretraining labels affects the generalization of deep neural networks in image classification tasks. We focus on the "fine-to-coarse"…
Detecting and Segmenting Adversarial Graphics Patterns from Images
Xiangyu Qu, Stanley H. Chan
Adversarial attacks pose a substantial threat to computer vision system security, but the social media industry constantly faces another form of "adversarial attack" in which the h…
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference
Chengxi Li, Stanley H. Chan, Yi-Ting Chen
A significant amount of people die in road accidents due to driver errors. To reduce fatalities, developing intelligent driving systems assisting drivers to identify potential risk…
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks
Chengxi Li, Yue Meng, Stanley H. Chan +1
To enable intelligent automated driving systems, a promising strategy is to understand how human drives and interacts with road users in complicated driving situations. In this pap…
Color Filter Arrays for Quanta Image Sensors
Omar A. Elgendy, Stanley H. Chan
Quanta image sensor (QIS) is envisioned to be the next generation image sensor after CCD and CMOS. In this paper, we discuss how to design color filter arrays for QIS and other sma…
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor
Abhiram Gnanasambandam, Omar Elgendy, Jiaju Ma +1
Quanta Image Sensor (QIS) is a single-photon detector designed for extremely low light imaging conditions. Majority of the existing QIS prototypes are monochrome based on single-ph…