Saeejith Nair

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

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Top Venues

Publications

Chi-En Amy Tai, Saeejith Nair, Olivia Markham, Matthew Keller, Yifan Wu, Yuhao Chen, Alexander Wong
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation. CoRR (2024)
Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. CoRR (2023)
Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge. CoRR (2023)
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
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. CoRR (2023)
Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. CoRR (2023)
Alexander Wong, Saad Abbasi, Saeejith Nair
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search. CoRR (2023)
Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CVPR Workshops (2023)
Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation. CoRR (2023)
Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CoRR (2023)
Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. CoRR (2023)
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
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. MADiMa@MM (2023)
Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. CoRR (2023)
Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. CoRR (2022)
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CoRR (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CRV (2022)
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CVPR Workshops (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CoRR (2022)