Saeejith Nair

According to our database, Saeejith Nair authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MetaFood3D: Large 3D Food Object Dataset with Nutrition Values.

Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward J. Delp, Fengqing Zhu

CoRR, 2024

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, Yuhao Chen, Alexander Wong

CoRR, 2024

2023

NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation.

Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong

CoRR, 2023

DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence.

Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong

CoRR, 2023

NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields.

Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong

CoRR, 2023

TurboViT: Generating Fast Vision Transformers via Generative Architecture Search.

Alexander Wong, Saad Abbasi, Saeejith Nair

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, Pengcheng Xi, 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, Saeejith Nair, Pengcheng Xi, Alexander Wong

CoRR, 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: Empirical Study of Various Dietary Intake Estimation Approaches.

Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

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, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices.

Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

Proceedings of the 19th Conference on Robots and Vision, 2022