Ardhendu Shekhar Tripathi

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All published works

Action	Title	Year	Authors
+	Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild	2022	Ardhendu Shekhar Tripathi Martin Danelljan Samarth Shukla Radu Timofte Luc Van Gool
+ PDF Chat	Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild	2022	Ardhendu Shekhar Tripathi Martin Danelljan Samarth Shukla Radu Timofte Luc Van Gool
+ PDF Chat	Fast Few-Shot Classification by Few-Iteration Meta-Learning	2021	Ardhendu Shekhar Tripathi Martin Danelljan Luc Van Gool Radu Timofte
+	Fast Few-Shot Classification by Few-Iteration Meta-Learning	2020	Ardhendu Shekhar Tripathi Martin Danelljan Luc Van Gool Radu Timofte

Common Coauthors

Coauthor	Papers Together
Luc Van Gool	4
Radu Timofte	4
Martin Danelljan	4
Samarth Shukla	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	1
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+ PDF Chat	DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks	2017	Andrey Ignatov Nikolay Kobyshev Radu Timofte Kenneth Vanhoey	1
+	Meta-Learning for Semi-Supervised Few-Shot Classification	2018	Mengye Ren Eleni Triantafillou Sachin Ravi Jake Snell Kevin Swersky Joshua B. Tenenbaum Hugo Larochelle Richard S. Zemel	1
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	1
+	Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning	2018	Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang	1
+	Fast Context Adaptation via Meta-Learning	2018	Luisa Zintgraf Kyriacos Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson	1
+	TADAM: Task dependent adaptive metric for improved few-shot learning	2018	Boris N. Oreshkin Pau Rodríguez Alexandre Lacoste	1
+ PDF Chat	Benchmarking Denoising Algorithms with Real Photographs	2017	Tobias Plötz Stefan Roth	1
+ PDF Chat	Dense Classification and Implanting for Few-Shot Learning	2019	Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc	1
+ PDF Chat	Meta-Learning With Differentiable Convex Optimization	2019	Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto	1
+ PDF Chat	Multi-Level Wavelet Convolutional Neural Networks	2019	Pengju Liu Hongzhi Zhang Wei Lian Wangmeng Zuo	1
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	1
+	A Closer Look at Few-shot Classification	2019	Wei-Yu Chen Yen‐Cheng Liu Zsolt Kira Yu-Chiang Frank Wang Jia‐Bin Huang	1
+ PDF Chat	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	2018	Deqing Sun Xiaodong Yang Ming-Yu Liu Jan Kautz	1
+	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms	2018	Avital Oliver Augustus Odena Colin Raffel Ekin D. Cubuk Ian Goodfellow	1
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	1
+	Meta-Learning with Latent Embedding Optimization	2018	Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero Raia Hadsell	1
+	Meta-learning with differentiable closed-form solvers	2018	Luca Bertinetto João F. Henriques Philip H. S. Torr Andrea Vedaldi	1
+	Cross Attention Network for Few-shot Classification	2019	Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen	1
+	Meta-Learning with Implicit Gradients	2019	Aravind Rajeswaran Chelsea Finn Sham M. Kakade Sergey Levine	1
+	Cross Attention Network for Few-shot Classification	2019	Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen	1
+	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples	2019	Eleni Triantafillou Tyler Zhu Vincent Dumoulin Pascal Lamblin Utku Evci Kelvin Xu Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol	1
+	A Baseline for Few-Shot Image Classification	2019	Guneet S. Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto	1
+ PDF Chat	Learning Discriminative Model Prediction for Tracking	2019	Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte	1
+ PDF Chat	CycleISP: Real Image Restoration via Improved Data Synthesis	2020	Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming–Hsuan Yang Ling Shao	1
+ PDF Chat	Replacing Mobile Camera ISP with a Single Deep Learning Model	2020	Andrey Ignatov Luc Van Gool Radu Timofte	1
+ PDF Chat	AWNet: Attentive Wavelet Network for Image ISP	2020	Linhui Dai Xiaohong Liu Chengqi Li Jun Chen	1
+ PDF Chat	AIM 2020 Challenge on Learned Image Signal Processing Pipeline	2020	Andrey Ignatov Radu Timofte Zhilu Zhang Ming Liu Haolin Wang Wangmeng Zuo Jiawei Zhang Ruimao Zhang Zhanglin Peng Sijie Ren	1
+ PDF Chat	Invertible Image Signal Processing	2021	Yazhou Xing Zian Qian Qifeng Chen	1
+ PDF Chat	Deep Burst Super-Resolution	2021	Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte	1
+ PDF Chat	Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision	2021	Zhilu Zhang Haolin Wang Ming Liu Ruohao Wang Jiawei Zhang Wangmeng Zuo	1
+	On First-Order Meta-Learning Algorithms	2018	Alex Nichol Joshua Achiam John Schulman	1