9 citations · 14 across the 9 of their papers we have counts for
9 papers
Time-Aware Assistive Navigation
Masaki Kuribayashi, Zhongkai Shangguan, Eshed Ohn-Bar
Can interactive vision-and-language agents learn not just what to say but also \textbf{\textit{when}} to say it? Current language models rarely plan over whether and when to realiz…
Scalable Early Childhood Reading Performance Prediction
Zhongkai Shangguan, Zanming Huang, Eshed Ohn-Bar +4
Models for student reading performance can empower educators and institutions to proactively identify at-risk students, thereby enabling early and tailored instructional interventi…
UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning
Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj +3
Embodied vision-based real-world systems, such as mobile robots, require a careful balance between energy consumption, compute latency, and safety constraints to optimize operation…
XVO: Generalized Visual Odometry via Cross-Modal Self-Training
Lei Lai, Zhongkai Shangguan, Jimuyang Zhang +1
We propose XVO, a semi-supervised learning method for training generalized monocular Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and sett…
Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data
Zhongkai Shangguan, Zihe Zheng, Lei Lin
Nowadays social media platforms such as Twitter provide a great opportunity to understand public opinion of climate change compared to traditional survey methods. In this paper, we…
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
Jerrick Liu, Nathan Inkawhich, Oliver Nina +30
In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This challenge is comp…
What Kind of Person Wins the Turing Award?
Zhongkai Shangguan, Zihe Zheng, Jiebo Luo
Computer science has grown rapidly since its inception in the 1950s and the pioneers in the field are celebrated annually by the A.M. Turing Award. In this paper, we attempt to she…
Neural Process for Black-Box Model Optimization Under Bayesian Framework
Zhongkai Shangguan, Lei Lin, Wencheng Wu +1
There are a large number of optimization problems in physical models where the relationships between model parameters and outputs are unknown or hard to track. These models are nam…
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi, Zhiheng Li, Haitian Zheng +30
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020…