CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. - Carol Xu; Mahmoud Famouri; Gautam Bathla; Saeejith Nair; Mohammad Javad Shafiee; Alexander Wong (CRV, 2022)

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. - Saeejith Nair; Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CVPR Workshops, 2022)

Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. - Alexander Wong; Mohammad Javad Shafiee; Saad Abbasi; Saeejith Nair; Mahmoud Famouri (CoRR, 2022)

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. - Alexander Wong; Yifan Wu 004; Saad Abbasi; Saeejith Nair; Yuhao Chen 001; Mohammad Javad Shafiee (CVPR Workshops, 2023)

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. - Chi-En Amy Tai; Matthew Keller; Saeejith Nair; Yuhao Chen 001; Yifan Wu 004; Olivia Markham; Krish Parmar; Pengcheng Xi; Heather H. Keller; Sharon Kirkpatrick; Alexander Wong (MADiMa@MM, 2023)

PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge. - Brian Li; Steven Palayew; Francis Li; Saad Abbasi; Saeejith Nair; Alexander Wong (CoRR, 2023)

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. - Chi-En Amy Tai; Matthew Keller; Mattie Kerrigan; Yuhao Chen 001; Saeejith Nair; Pengcheng Xi; Alexander Wong (CoRR, 2023)

NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. - Chi-En Amy Tai; Jason Li; Sriram Kumar; Saeejith Nair; Yuhao Chen 001; Pengcheng Xi; Alexander Wong (CoRR, 2023)

TurboViT: Generating Fast Vision Transformers via Generative Architecture Search. - Alexander Wong; Saad Abbasi; Saeejith Nair (CoRR, 2023)

NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. - Saeejith Nair; Yuhao Chen 001; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2023)

DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. - Saeejith Nair; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2023)

NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation. - Saeejith Nair; Chi-En Amy Tai; Yuhao Chen 001; Alexander Wong (CoRR, 2023)

NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation. - Chi-En Amy Tai; Saeejith Nair; Olivia Markham; Matthew Keller; Yifan Wu 004; Yuhao Chen 001; Alexander Wong (CoRR, 2024)

MetaFood3D: Large 3D Food Object Dataset with Nutrition Values. - Yuhao Chen 001; Jiangpeng He; Chris Czarnecki; Gautham Vinod; Talha Ibn Mahmud; Siddeshwar Raghavan; Jinge Ma; Dayou Mao; Saeejith Nair; Pengcheng Xi; Alexander Wong; Edward J. Delp; et al. (CoRR, 2024)

GraphPad: Inference-Time 3D Scene Graph Updates for Embodied Question Answering. - Muhammad Qasim Ali; Saeejith Nair; Alexander Wong; Yuchen Cui; Yuhao Chen 001 (CoRR, 2025)