Samarth Shukla

According to our database, Samarth Shukla authored at least 8 papers between 2018 and 2022.

Collaborative distances:

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

2022

Practices for Efficiently Training Deep Learning Models.

Samarth Shukla

PhD thesis, 2022

Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild.

Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide

CoRR, 2021

Zero-Pair Image to Image Translation using Domain Conditional Normalization.

Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019

Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation.

Samarth Shukla, Luc Van Gool, Radu Timofte

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations.

Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto

IEEE Robotics Autom. Lett., 2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations.

Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto

CoRR, 2018