33 citations · 54 across the 6 of their papers we have counts for
10 papers
Towards Rotation Invariance in Object Detection
Agastya Kalra, Guy Stoppi, Bradley Brown +2
Rotation augmentations generally improve a model's invariance/equivariance to rotation - except in object detection. In object detection the shape is not known, therefore rotation…
Physics-AI Symbiosis
Bahram Jalali, Achuta Kadambi, Vwani Roychowdhury
The phenomenal success of physics in explaining nature and designing hardware is predicated on efficient computational models. A universal codebook of physical laws defines the com…
Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation
Yunhao Ba, Zhen Wang, Kerim Doruk Karinca +2
Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectur…
Diverse R-PPG: Camera-Based Heart Rate Estimation for Diverse Subject Skin-Tones and Scenes
Pradyumna Chari, Krish Kabra, Doruk Karinca +7
Heart rate (HR) is an essential clinical measure for the assessment of cardiorespiratory instability. Since communities of color are disproportionately affected by both COVID-19 an…
Enhancing Passive Non-Line-of-Sight Imaging Using Polarization Cues
Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi
This paper presents a method of passive non-line-of-sight (NLOS) imaging using polarization cues. A key observation is that the oblique light has a different polarimetric signal. I…
Visual Physics: Discovering Physical Laws from Videos
Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba +1
In this paper, we teach a machine to discover the laws of physics from video streams. We assume no prior knowledge of physics, beyond a temporal stream of bounding boxes. The probl…