Jamie Menjay Lin

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All published works

Action	Title	Year	Authors
+ PDF Chat	SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations	2024	Jamie Menjay Lin Jisoo Jeong Hong Cai Risheek Garrepalli Kai Wang Fatih Porikli
+ PDF Chat	OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation	2024	Jisoo Jeong Hong Cai Risheek Garrepalli Jamie Menjay Lin Munawar Hayat Fatih Porikli
+ PDF Chat	DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow	2023	Risheek Garrepalli Jisoo Jeong Rajeswaran C Ravindran Jamie Menjay Lin Fatih Porikli
+	Guided Speech Enhancement Network	2023	Yang Yang Shao-Fu Shih Hakan Erdoğan Jamie Menjay Lin Chehung Lee Yunpeng Li George Sung Matthias Grundmann
+	Guided Speech Enhancement Network	2023	Yang Yang Shao-Fu Shih Hakan Erdoğan Jamie Menjay Lin Chehung Lee Yunpeng Li George Sung Matthias Grundmann
+	DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow	2023	Risheek Garrepalli Jisoo Jeong Rajeswaran C Ravindran Jamie Menjay Lin Fatih Porikli
+ PDF Chat	Imposing Consistency for Optical Flow Estimation	2022	Jisoo Jeong Jamie Menjay Lin Fatih Porikli Nojun Kwak
+	Imposing Consistency for Optical Flow Estimation	2022	Jisoo Jeong Jamie Menjay Lin Fatih Porikli Nojun Kwak
+	Efficient Heterogeneous Video Segmentation at the Edge	2022	Jamie Menjay Lin Siargey Pisarchyk Juhyun Lee David Tian Tingbo Hou Karthik Raveendran Raman Sarokin George Sung Trent Tolley Matthias Grundmann
+	Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices	2020	Byung Hoon Ahn Jinwon Lee Jamie Menjay Lin Hsin-Pai Cheng Jilei Hou Hadi Esmaeilzadeh
+	Structured Convolutions for Efficient Neural Network Design	2020	Yash Bhalgat Yizhe Zhang Jamie Menjay Lin Fatih Porikli
+	Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices	2020	Byung Hoon Ahn Jinwon Lee Jamie Menjay Lin Hsin-Pai Cheng Jilei Hou Hadi Esmaeilzadeh

Common Coauthors

Coauthor	Papers Together
Fatih Porikli	7
Jisoo Jeong	6
Risheek Garrepalli	4
Matthias Grundmann	3
George Sung	3
Rajeswaran C Ravindran	2
Hong Cai	2
Hakan Erdoğan	2
Chehung Lee	2
Hadi Esmaeilzadeh	2
Nojun Kwak	2
Yunpeng Li	2
Yang Yang	2
Jinwon Lee	2
Hsin-Pai Cheng	2
Jilei Hou	1
Shao-Fu Shih	1
Yizhe Zhang	1
David Tian	1
Siargey Pisarchyk	1
Jilei Hou	1
Juhyun Lee	1
Shao-Fu Shih	1
Tingbo Hou	1
Karthik Raveendran	1
Munawar Hayat	1
Byung Hoon Ahn	1
Raman Sarokin	1
Yash Bhalgat	1
Byung Hoon Ahn	1
Kai Wang	1
Trent Tolley	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow	2020	Zachary Teed Jia Deng	2
+ PDF Chat	Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation	2019	Junhwa Hur Stefan Roth	2
+ PDF Chat	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	2018	Deqing Sun Xiaodong Yang Ming-Yu Liu Jan Kautz	2
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Alexey Dosovitskiy Philipp Fischer Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	2
+ PDF Chat	AutoFlow: Learning a Better Training Set for Optical Flow	2021	Deqing Sun Daniel Vlasic Charles Herrmann Varun Jampani Michael Krainin Huiwen Chang Ramin Zabih William T. Freeman Ce Liu	2
+ PDF Chat	Optical Flow Estimation Using a Spatial Pyramid Network	2017	Anurag Ranjan Michael J. Black	2
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	2
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2014	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	1
+ 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	Group Invariant Scattering	2012	Stéphane Mallat	1
+ PDF Chat	Structured Pruning of Deep Convolutional Neural Networks	2017	Sajid Anwar Kyuyeon Hwang Wonyong Sung	1
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	1
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Convolutional neural networks with low-rank regularization	2015	Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E Weinan	1
+ PDF Chat	Accelerating Very Deep Convolutional Networks for Classification and Detection	2015	Xiangyu Zhang Jianhua Zou Kaiming He Jian Sun	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Low-power image recognition challenge	2017	Kent Gauen Rohit Rangan Anup Mohan Yung-Hsiang Lu Wei Liu Alexander C. Berg	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1
+	To prune, or not to prune: exploring the efficacy of pruning for model compression	2017	Michael Zhu Suyog Gupta	1
+ PDF Chat	Automated Pruning for Deep Neural Network Compression	2018	Franco Manessi Alessandro Rozza Simone Bianco Paolo Napoletano Raimondo Schettini	1
+	Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning	2018	Scott Cyphers Arjun K. Bansal Anahita Bhiwandiwalla Jayaram Bobba Matthew Brookhart Avijit Chakraborty Will Constable Christian Convey Leona Cook Omar Kanawi	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+	Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions	2018	Nicolas Vasilache Oleksandr Zinenko Theodoros Theodoridis Priya Goyal Zachary DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen	1
+	DCFNet: Deep Neural Network with Decomposed Convolutional Filters	2018	Qiang Qiu Xiuyuan Cheng Robert Calderbank Guillermo Sapiro	1
+ PDF Chat	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers	2018	Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen Makan Fardad Yanzhi Wang	1
+	Glow: Graph Lowering Compiler Techniques for Neural Networks	2018	Nadav Rotem Jordan Fix Saleem Abdulrasool Summer Deng Roman Dzhabarov James W. Hegeman Roman Levenstein Bert Maher Satish Nadathur Jakob Olesen	1
+	Open Category Detection with PAC Guarantees	2018	Si Liu Risheek Garrepalli Thomas G. Dietterich Alan Fern Dan Hendrycks	1
+	Tensorized Spectrum Preserving Compression for Neural Networks.	2018	Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang	1
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	1
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	1
+	Shift-based Primitives for Efficient Convolutional Neural Networks	2018	Huasong Zhong Xianggen Liu Yihui He Yuchun Ma	1
+ PDF Chat	DeepTAM: Deep Tracking and Mapping	2018	Huizhong Zhou Benjamin Ummenhofer Thomas Brox	1
+	ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks	2018	Amir Yazdanbakhsh Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Hadi Esmaeilzadeh	1
+ PDF Chat	DDFlow: Learning Optical Flow with Unlabeled Data Distillation	2019	Pengpeng Liu Irwin King Michael R. Lyu Xu Jia	1
+ PDF Chat	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	1
+	Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression	2018	Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang	1
+	A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization	2019	Tak-Wai Hui Xiaoou Tang Chen Change Loy	1
+	Automatic Model Selection for Neural Networks	2019	David Laredo Yulin Qin Oliver Schütze Jian‐Qiao Sun	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	1
+	Speeding up Convolutional Neural Networks with Low Rank Expansions	2014	Max Jaderberg Andrea Vedaldi Andrew Zisserman	1
+	SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures	2019	Hsin-Pai Cheng Tunhou Zhang Yukun Yang Feng Yan Shiyu Li Harris Teague Hai Li Yiran Chen	1
+	Rethinking the Value of Network Pruning	2018	Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell	1
+	Temporal Ensembling for Semi-Supervised Learning	2016	Samuli Laine Timo Aila	1
+ PDF Chat	Hierarchical Discrete Distribution Decomposition for Match Density Estimation	2019	Zhichao Yin Trevor Darrell Fisher Yu	1
+	Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results	2017	Antti Tarvainen Harri Valpola	1
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+ PDF Chat	Motion Feature Network: Fixed Motion Filter for Action Recognition	2018	Myunggi Lee Seungeui Lee Sungjoon Son Gyutae Park Nojun Kwak	1