Cameron Gordon

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All published works

Action	Title	Year	Authors
+ PDF Chat	D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations	2024	Cameron Gordon Lachlan MacDonald Hemanth Saratchandran Simon Lucey
+ PDF Chat	Sine Activated Low-Rank Matrices for Parameter Efficient Learning	2024	Yiping Ji Hemanth Saratchandran Cameron Gordon Zeyu Zhang Simon Lucey
+	Distributed Genetic Algorithm for Feature Selection	2024	Michael Potter Ayberk yarkin Yildiz Nishanth Marer Prabhu Cameron Gordon
+ PDF Chat	On Quantizing Implicit Neural Representations	2023	Cameron Gordon Shin-Fang Chng Lachlan MacDonald Simon Lucey
+	On Quantizing Implicit Neural Representations	2022	Cameron Gordon Shin-Fang Chng Lachlan MacDonald Simon Lucey
+	The Information Bottleneck Principle in Corporate Hierarchies	2022	Cameron Gordon
+	Knot contact homology detects cabled, composite, and torus knots	2015	Cameron Gordon Tye Lidman
+	Taut foliations, left-orderability, and cyclic branched covers	2014	Cameron Gordon Tye Lidman
+	Economics Evolving: A History of Economic Thought, by A.Sandmo (Princeton University Press, Princeton, NJ,2011), pp. 489.	2013	Cameron Gordon
+ PDF Chat	Knots with small rational genus	2013	Danny Calegari Cameron Gordon
+	Applying Benefit-Cost Analysis to Intelligent Transportation Systems (ITS) and the Australian Context	2013	Cameron Gordon
+	Bridge number, Heegaard genus and non-integral Dehn surgery	2012	Kenneth L. Baker Cameron Gordon John Luecke
+	Knots with small rational genus	2009	Danny Calegari Cameron Gordon
+ PDF Chat	Annular Dehn fillings	2000	Cameron Gordon Y.-Q. Wu
+	Facts, Statistics, and the Government Policy Research Function	1996	Cameron Gordon

Common Coauthors

Coauthor	Papers Together
Simon Lucey	4
Lachlan MacDonald	3
Shin-Fang Chng	2
Hemanth Saratchandran	2
Danny Calegari	2
Tye Lidman	2
Nishanth Marer Prabhu	1
Kenneth L. Baker	1
Y.-Q. Wu	1
Ayberk yarkin Yildiz	1
Michael Potter	1
John Luecke	1
Zeyu Zhang	1
Yiping Ji	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	DeepCurrents: Learning Implicit Representations of Shapes with Boundaries	2022	D. R. Palmer Dmitriy Smirnov Stephanie Wang Albert Chern Justin Solomon	2
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	2
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	2
+ PDF Chat	Advances in Neural Rendering	2022	Ayush Tewari Justus Thies Ben Mildenhall Pratul P. Srinivasan Edgar Tretschk Yifan Wang Christoph Lassner Vincent Sitzmann Ricardo Martin-Brualla Stephen Lombardi	2
+ PDF Chat	Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs	2022	Sameera Ramasinghe Simon Lucey	2
+ PDF Chat	BARF: Bundle-Adjusting Neural Radiance Fields	2021	Chen-Hsuan Lin Wei-Chiu Ma Antonio Torralba Simon Lucey	2
+ PDF Chat	Baking Neural Radiance Fields for Real-Time View Synthesis	2021	Peter Hedman Pratul P. Srinivasan Ben Mildenhall Jonathan T. Barron Paul Debevec	2
+ PDF Chat	Nerfies: Deformable Neural Radiance Fields	2021	Keunhong Park Utkarsh Sinha Jonathan T. Barron Sofien Bouaziz Dan B Goldman Steven M. Seitz Ricardo Martin-Brualla	2
+	GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation	2022	Shin-Fang Chng Sameera Ramasinghe Jamie Sherrah Simon Lucey	2
+	Learning Positional Embeddings for Coordinate-MLPs	2021	Sameera Ramasinghe Simon Lucey	2
+	Dehn Surgery on Knots	1987	Marc Culler C. McA. Gordon John Luecke Peter B. Shalen	2
+ PDF Chat	Binary neural networks: A survey	2020	Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song Nicu Sebe	2
+	High-Fidelity Generative Image Compression	2020	Fabian Mentzer George Toderici Michael Tschannen Eirikur Agustsson	2
+	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	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	Compressible-composable NeRF via Rank-residual Decomposition	2022	Jiaxiang Tang Xiaokang Chen Jingbo Wang Gang Zeng	2
+ PDF Chat	Variable Bitrate Neural Fields	2022	Towaki Takikawa Alex Evans Jonathan Tremblay Thomas Müller Morgan McGuire Alec Jacobson Sanja Fidler	2
+ PDF Chat	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	2020	Ben Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron Ravi Ramamoorthi Ren Ng	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+	Neural 3D Scene Compression via Model Compression	2021	Berivan Isik	2
+	COIN: COmpression with Implicit Neural representations	2021	Emilien Dupont Adam Goliński Milad Alizadeh Yee Whye Teh Arnaud Doucet	2
+ PDF Chat	Compressive Neural Representations of Volumetric Scalar Fields	2021	Yahao Lu Keran Jiang Joshua A. Levine Matthew Berger	2
+	Implicit Neural Representations with Periodic Activation Functions	2020	Vincent Sitzmann Julien Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein	2
+ PDF Chat	3D Scene Compression through Entropy Penalized Neural Representation Functions	2021	Thomas Bird Johannes Ballé Saurabh Singh Philip A. Chou	2
+ PDF Chat	KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs	2021	Christian Reiser Songyou Peng Yiyi Liao Andreas Geiger	2
+ PDF Chat	Neural Fields in Visual Computing and Beyond	2022	Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar	2
+ PDF Chat	Improving neural implicit surfaces geometry with patch warping	2022	François Darmon B. Bascle Jean-Clément Devaux Pascal Monasse Mathieu Aubry	2
+ PDF Chat	Implicit Neural Representations for Image Compression	2022	Yannick Strümpler Janis Postels Ren Yang Luc Van Gool Federico Tombari	2
+	Geometry and Topology of Manifolds	2005	Hans Bodén Ian Hambleton Andrew Nicas Byungkyu Park	2
+	The Mathematization of Economic Theory	1991	Gérard Debreu	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Bounds on exceptional Dehn filling II	2010	Ian Agol	1
+ PDF Chat	Holomorphic disks and genus bounds	2004	Peter Ozsváth Zoltán Szabó	1
+ PDF Chat	A Survey of Quantization Methods for Efficient Neural Network Inference	2022	Amir Gholami Sehoon Kim Zhen Dong Zhewei Yao Michael W. Mahoney Kurt Keutzer	1
+	Meta-Learning Sparse Implicit Neural Representations	2021	Jae-Ho Lee Jihoon Tack Namhoon Lee Jinwoo Shin	1
+	NeRV: Neural Representations for Videos	2021	Hao Chen Bo He Hanyu Wang Yixuan Ren Ser Nam Lim Abhinav Shrivastava	1
+	Implicit Neural Video Compression	2021	Yunfan Zhang Ties van Rozendaal Johann Brehmer Markus Nagel Taco Cohen	1
+ PDF Chat	Three dimensional manifolds, Kleinian groups and hyperbolic geometry	1983	William P. Thurston	1
+ PDF Chat	Bounds on exceptional Dehn filling	2000	Ian Agol	1
+	Foliations and the topology of 3-manifolds. III	1987	David Gabai	1
+	Communication in the presence of noise	1984	Claude E. Shannon	1
+	MobileCodec: Neural Inter-frame Video Compression on Mobile Devices	2022	Hoang Le Liang Zhang Amir Said Guillaume Sautière Yang Yang Pranav Shrestha Fei Yin Reza Pourreza Auke Wiggers	1
+	ACORN: Adaptive Coordinate Networks for Neural Scene Representation	2021	Julien Martel David B. Lindell Connor Z. Lin Eric R. Chan Marco Aurélio Alvarenga Monteiro Gordon Wetzstein	1
+ PDF Chat	Boundary slopes of punctured tori in 3-manifolds	1998	C. McA. Gordon	1
+	NTopo: Mesh-free Topology Optimization using Implicit Neural Representations	2021	Jonas Zehnder Yue Li Stelian Coros Bernhard Thomaszewski	1
+	Distilled Low Rank Neural Radiance Field with Quantization for Light Field Compression	2022	Jinglei Shi Christine Guillemot	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+	A Survey of Quantization Methods for Efficient Neural Network Inference	2021	Amir Gholami Sehoon Kim Zhen Dong Zhewei Yao Michael W. Mahoney Kurt Keutzer	1
+	Geometry and Topology of Manifolds	2007	William P. Thurston	1
+	Applying Benefit-Cost Analysis to Intelligent Transportation Systems (ITS) and the Australian Context	2013	Cameron Gordon	1