Mobile AI
Fast and Accurate Camera Scene Detection on Smartphones-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pouget_2021_CVPR, author = {Pouget, Angeline and Ramesh, Sidharth and Giang, Maximilian and Chandrapalan, Ramithan and Tanner, Toni and Prussing, Moritz and Timofte, Radu and Ignatov, Andrey}, title = {Fast and Accurate Camera Scene Detection on Smartphones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2569-2580} }
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ignatov_2021_CVPR, author = {Ignatov, Andrey and Malivenko, Grigory and Plowman, David and Shukla, Samarth and Timofte, Radu}, title = {Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2545-2557} }
RSCA: Real-Time Segmentation-Based Context-Aware Scene Text Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_CVPR, author = {Li, Jiachen and Lin, Yuan and Liu, Rongrong and Ho, Chiu Man and Shi, Humphrey}, title = {RSCA: Real-Time Segmentation-Based Context-Aware Scene Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2349-2358} }
Anchor-Based Plain Net for Mobile Image Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Du_2021_CVPR, author = {Du, Zongcai and Liu, Jie and Tang, Jie and Wu, Gangshan}, title = {Anchor-Based Plain Net for Mobile Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2494-2502} }
CSAnet: High Speed Channel Spatial Attention Network for Mobile ISP-
[pdf]
[bibtex]@InProceedings{Hsyu_2021_CVPR, author = {Hsyu, Ming-Chun and Liu, Chih-Wei and Chen, Chao-Hung and Chen, Chao-Wei and Tsai, Wen-Chia}, title = {CSAnet: High Speed Channel Spatial Attention Network for Mobile ISP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2486-2493} }
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ignatov_2021_CVPR, author = {Ignatov, Andrey and Chiang, Cheng-Ming and Kuo, Hsien-Kai and Sycheva, Anastasia and Timofte, Radu}, title = {Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2503-2514} }
Real-Time Analogue Gauge Transcription on Mobile Phone-
[pdf]
[supp]
[bibtex]@InProceedings{Howells_2021_CVPR, author = {Howells, Ben and Charles, James and Cipolla, Roberto}, title = {Real-Time Analogue Gauge Transcription on Mobile Phone}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2369-2377} }
A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices-
[pdf]
[bibtex]@InProceedings{Zhang_2021_CVPR, author = {Zhang, Ziyu and Wang, Yicheng and Huang, Zilong and Luo, Guozhong and Yu, Gang and Fu, Bin}, title = {A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2466-2471} }
MobileHumanPose: Toward Real-Time 3D Human Pose Estimation in Mobile Devices-
[pdf]
[bibtex]@InProceedings{Choi_2021_CVPR, author = {Choi, Sangbum and Choi, Seokeon and Kim, Changick}, title = {MobileHumanPose: Toward Real-Time 3D Human Pose Estimation in Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2328-2338} }
DeepShift: Towards Multiplication-Less Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Elhoushi_2021_CVPR, author = {Elhoushi, Mostafa and Chen, Zihao and Shafiq, Farhan and Tian, Ye Henry and Li, Joey Yiwei}, title = {DeepShift: Towards Multiplication-Less Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2359-2368} }
Fast Camera Image Denoising on Mobile GPUs With Deep Learning, Mobile AI 2021 Challenge: Report-
[pdf]
[bibtex]@InProceedings{Ignatov_2021_CVPR, author = {Ignatov, Andrey and Byeoung-su, Kim and Timofte, Radu and Pouget, Angeline}, title = {Fast Camera Image Denoising on Mobile GPUs With Deep Learning, Mobile AI 2021 Challenge: Report}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2515-2524} }
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ayazoglu_2021_CVPR, author = {Ayazoglu, Mustafa}, title = {Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2472-2479} }
EVSRNet: Efficient Video Super-Resolution With Neural Architecture Search-
[pdf]
[bibtex]@InProceedings{Liu_2021_CVPR, author = {Liu, Shaoli and Zheng, Chengjian and Lu, Kaidi and Gao, Si and Wang, Ning and Wang, Bofei and Zhang, Diankai and Zhang, Xiaofeng and Xu, Tianyu}, title = {EVSRNet: Efficient Video Super-Resolution With Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2480-2485} }
Layer Importance Estimation With Imprinting for Neural Network Quantization-
[pdf]
[bibtex]@InProceedings{Liu_2021_CVPR, author = {Liu, Hongyang and Elkerdawy, Sara and Ray, Nilanjan and Elhoushi, Mostafa}, title = {Layer Importance Estimation With Imprinting for Neural Network Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2408-2417} }
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ignatov_2021_CVPR, author = {Ignatov, Andrey and Malivenko, Grigory and Timofte, Radu}, title = {Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2558-2568} }
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ignatov_2021_CVPR, author = {Ignatov, Andrey and Timofte, Radu and Denna, Maurizio and Younes, Abdel}, title = {Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2525-2534} }
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dutta_2021_CVPR, author = {Dutta, Saikat and Das, Sourya Dipta and Shah, Nisarg A. and Tiwari, Anil Kumar}, title = {Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2398-2407} }
AsymmNet: Towards Ultralight Convolution Neural Networks Using Asymmetrical Bottlenecks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2021_CVPR, author = {Yang, Haojin and Shen, Zhen and Zhao, Yucheng}, title = {AsymmNet: Towards Ultralight Convolution Neural Networks Using Asymmetrical Bottlenecks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2339-2348} }
Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ignatov_2021_CVPR, author = {Ignatov, Andrey and Romero, Andres and Kim, Heewon and Timofte, Radu}, title = {Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2535-2544} }
Computer Vision-Based Assistance System for the Visually Impaired Using Mobile Edge Artificial Intelligence-
[pdf]
[bibtex]@InProceedings{Mahendran_2021_CVPR, author = {Mahendran, Jagadish K. and Barry, Daniel T. and Nivedha, Anita K. and Bhandarkar, Suchendra M.}, title = {Computer Vision-Based Assistance System for the Visually Impaired Using Mobile Edge Artificial Intelligence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2418-2427} }
Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yun_2021_CVPR, author = {Yun, Stone and Wong, Alexander}, title = {Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2447-2456} }
Real-Time Monocular Depth Estimation With Sparse Supervision on Mobile-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yucel_2021_CVPR, author = {Yucel, Mehmet Kerim and Dimaridou, Valia and Drosou, Anastasios and Saa-Garriga, Albert}, title = {Real-Time Monocular Depth Estimation With Sparse Supervision on Mobile}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2428-2437} }
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection-
[pdf]
[bibtex]@InProceedings{Li_2021_CVPR, author = {Li, Jiachen and Cheng, Bowen and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas S. and Hwu, Wen-Mei and Shi, Humphrey}, title = {Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2378-2387} }
Knowledge Distillation for Fast and Accurate Monocular Depth Estimation on Mobile Devices-
[pdf]
[bibtex]@InProceedings{Wang_2021_CVPR, author = {Wang, Yiran and Li, Xingyi and Shi, Min and Xian, Ke and Cao, Zhiguo}, title = {Knowledge Distillation for Fast and Accurate Monocular Depth Estimation on Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2457-2465} }
Low Bandwidth Video-Chat Compression Using Deep Generative Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Oquab_2021_CVPR, author = {Oquab, Maxime and Stock, Pierre and Haziza, Daniel and Xu, Tao and Zhang, Peizhao and Celebi, Onur and Hasson, Yana and Labatut, Patrick and Bose-Kolanu, Bobo and Peyronel, Thibault and Couprie, Camille}, title = {Low Bandwidth Video-Chat Compression Using Deep Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2388-2397} }
Filtering Empty Camera Trap Images in Embedded Systems-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cunha_2021_CVPR, author = {Cunha, Fagner and dos Santos, Eulanda M. and Barreto, Raimundo and Colonna, Juan G.}, title = {Filtering Empty Camera Trap Images in Embedded Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2438-2446} }