2 citations · 4 across the 6 of their papers we have counts for
6 papers
iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring
Dayou Mao, Yuchen Lin, Ashkan Ebadi +3
Automation in construction is essential for reducing costs and human errors in large-scale projects. We approach the construction progress monitoring from the aspect of detecting c…
GraphPad: Inference-Time 3D Scene Graph Updates for Embodied Question Answering
Muhammad Qasim Ali, Saeejith Nair, Alexander Wong +2
Structured scene representations are a core component of embodied agents, helping to consolidate raw sensory streams into readable, modular, and searchable formats. Due to their hi…
MetaFood3D: 3D Food Dataset with Nutrition Values
Yuhao Chen, Jiangpeng He, Gautham Vinod +11
Food computing is both important and challenging in computer vision (CV). It significantly contributes to the development of CV algorithms due to its frequent presence in datasets…
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
Chi-en Amy Tai, Saeejith Nair, Olivia Markham +4
Dietary intake estimation plays a crucial role in understanding the nutritional habits of individuals and populations, aiding in the prevention and management of diet-related healt…
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation
Saeejith Nair, Chi-en Amy Tai, Yuhao Chen +1
Manually tracking nutritional intake via food diaries is error-prone and burdensome. Automated computer vision techniques show promise for dietary monitoring but require large and…
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence
Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
We present DARLEI, a framework that combines evolutionary algorithms with parallelized reinforcement learning for efficiently training and evolving populations of UNIMAL agents. Ou…