53 citations · 63 across the 5 of their papers we have counts for
6 papers
Improving 3D Labeling in Self-Driving by Inferring Vehicle Information using Vision Language Models
Steven Chen, Shivesh Khaitan, Nemanja Djuric
We present an approach to improve 3D vehicle labeling in self-driving applications through zero-shot inference of vehicle information, leveraging Vehicle Make and Model Recognition…
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Kejie Li, Daniel DeTone, Steven Chen +6
Localizing objects and estimating their extent in 3D is an important step towards high-level 3D scene understanding, which has many applications in Augmented Reality and Robotics.…
Pose Trainer: Correcting Exercise Posture using Pose Estimation
Steven Chen, Richard R. Yang
Fitness exercises are very beneficial to personal health and fitness; however, they can also be ineffective and potentially dangerous if performed incorrectly by the user. Exercise…
Online Model Distillation for Efficient Video Inference
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang +2
High-quality computer vision models typically address the problem of understanding the general distribution of real-world images. However, most cameras observe only a very small fr…
Compare and Contrast: Learning Prominent Visual Differences
Steven Chen, Kristen Grauman
Relative attribute models can compare images in terms of all detected properties or attributes, exhaustively predicting which image is fancier, more natural, and so on without any…
AI Blue Book: Vehicle Price Prediction using Visual Features
Richard R. Yang, Steven Chen, Edward Chou
In this work, we build a series of machine learning models to predict the price of a product given its image, and visualize the features that result in higher or lower price predic…