David Doermann

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All published works

Action	Title	Year	Authors
+ PDF Chat	Personalized Large Vision-Language Models	2024	Chau Pham Hoang Anh T. Phan David Doermann Yunjie Tian
+ PDF Chat	ETLNet: An Efficient TCN-BiLSTM Network for Road Anomaly Detection Using Smartphone Sensors	2024	M. Ansari Rakshit Sandilya Mohammed Javed David Doermann
+ PDF Chat	IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation	2024	Yuanhao Zhai Kevin Lin Linjie Li Chung-Ching Lin Jianfeng Wang Zhengyuan Yang David Doermann Junsong Yuan Zicheng Liu Lijuan Wang
+ PDF Chat	ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding	2024	Tianren Ma Lingxi Xie Yunjie Tian Boyu Yang Yuan Zhang David Doermann Qixiang Ye
+ PDF Chat	Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation	2024	Yuanhao Zhai Kevin Lin Zhengyuan Yang Linjie Li Jianfeng Wang Chung-Ching Lin David Doermann Junsong Yuan Lijuan Wang
+ PDF Chat	Artemis: Towards Referential Understanding in Complex Videos	2024	Jihao Qiu Yuan Zhang Xi Tang Lingxi Xie Tianren Ma Pengyu Yan David Doermann Qixiang Ye Yunjie Tian
+ PDF Chat	Federated Learning via Input-Output Collaborative Distillation	2024	Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann
+ PDF Chat	ChartReformer: Natural Language-Driven Chart Image Editing	2024	Pengyu Yan Mahesh Bhosale Jay Lal Bikhyat Adhikari David Doermann
+ PDF Chat	Leaf-Based Plant Disease Detection and Explainable AI	2023	Saurav Sagar Mohammed Javed David Doermann
+ PDF Chat	Language-guided Human Motion Synthesis with Atomic Actions	2023	Yuanhao Zhai Mingzhen Huang Tianyu Luan Lu Dong Ifeoma Nwogu Siwei Lyu David Doermann Junsong Yuan
+ PDF Chat	Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning	2023	Yuanhao Zhai Tianyu Luan David Doermann Junsong Yuan
+ PDF Chat	SOAR: Scene-debiasing Open-set Action Recognition	2023	Yuanhao Zhai Ziyi Liu Zhenyu Wu Yi Wu Chunluan Zhou David Doermann Junsong Yuan Gang Hua
+ PDF Chat	Progressive Multi-View Human Mesh Recovery with Self-Supervision	2023	Xuan Gong Liangchen Song Meng Zheng Benjamin Planche Terrence Chen Junsong Yuan David Doermann Ziyan Wu
+	LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation	2023	Jay Lal Aditya Mitkari Mahesh Bhosale David Doermann
+	Context-Aware Chart Element Detection	2023	Pengyu Yan Saleem Ahmed David Doermann
+	Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler	2023	Shaohui Lin Wenxuan Huang Jiao Xie Baochang Zhang Yunhang Shen Yu Zhou Jungong Han David Doermann
+	A Survey and Approach to Chart Classification	2023	Anurag Dhote Mohammed Javed David Doermann
+	A Survey on Figure Classification Techniques in Scientific Documents	2023	Anurag Dhote Mohammed Javed David Doermann
+	A Survey on Change Detection Techniques in Document Images	2023	Abhinandan Kumar Pun Mohammed Javed David Doermann
+	SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding	2023	Saleem Ahmed Pengyu Yan David Doermann Srirangaraj Setlur Venu Govindaraju
+ PDF Chat	Context-Aware Chart Element Detection	2023	Pengyu Yan Saleem Ahmed David Doermann
+	Language-guided Human Motion Synthesis with Atomic Actions	2023	Yuanhao Zhai Mingzhen Huang Tianyu Luan Lu Dong Ifeoma Nwogu Siwei Lyu David Doermann Junsong Yuan
+	Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning	2023	Yuanhao Zhai Tianyu Luan David Doermann Junsong Yuan
+	SOAR: Scene-debiasing Open-set Action Recognition	2023	Yuanhao Zhai Ziyi Liu Zhenyu Wu Yi Wu Chunluan Zhou David Doermann Junsong Yuan Gang Hua
+	Player Re-Identification Using Body Part Appearences	2023	Mahesh Bhosale Abhishek Kumar David Doermann
+	The Analysis and Extraction of Structure from Organizational Charts	2023	Nikhil Manali David Doermann Mahesh S. Desai
+	Federated Learning via Input-Output Collaborative Distillation	2023	Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann
+ PDF Chat	Federated Learning With Privacy-Preserving Ensemble Attention Distillation	2022	Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng Benjamin Planche Arun Innanje Terrence Chen Junsong Yuan David Doermann
+ PDF Chat	Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation	2022	Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje
+	Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation	2022	Runqi Wang Linlin Yang Baochang Zhang Wentao Zhu David Doermann Guodong Guo
+	Self-supervised Human Mesh Recovery with Cross-Representation Alignment	2022	Xuan Gong Meng Zheng Benjamin Planche Srikrishna Karanam Terrence Chen David Doermann Ziyan Wu
+	Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation	2022	Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje
+	PREF: Predictability Regularized Neural Motion Fields	2022	Liangchen Song Xuan Gong Benjamin Planche Meng Zheng David Doermann Junsong Yuan Terrence Chen Ziyan Wu
+	Federated Learning with Privacy-Preserving Ensemble Attention Distillation	2022	Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng Benjamin Planche Arun Innanje Terrence Chen Junsong Yuan David Doermann
+	Progressive Multi-view Human Mesh Recovery with Self-Supervision	2022	Xuan Gong Liangchen Song Meng Zheng Benjamin Planche Terrence Chen Junsong Yuan David Doermann Ziyan Wu
+ PDF Chat	PREF: Predictability Regularized Neural Motion Fields	2022	Liangchen Song Xuan Gong Benjamin Planche Meng Zheng David Doermann Junsong Yuan Terrence Chen Ziyan Wu
+ PDF Chat	Self-supervised Human Mesh Recovery with Cross-Representation Alignment	2022	Xuan Gong Meng Zheng Benjamin Planche Srikrishna Karanam Terrence Chen David Doermann Ziyan Wu
+ PDF Chat	Learning Robot Swarm Tactics over Complex Adversarial Environments	2021	Amir Behjat Hemanth Manjunatha Prajit Krisshna Kumar Apurv Jani Leighton Collins Payam Ghassemi Joseph J. DiStefano David Doermann Karthik Dantu Ehsan T. Esfahani
+ PDF Chat	Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction	2021	Joseph P. Distefano Hemanth Manjunatha Souma Chowdhury Karthik Dantu David Doermann Ehsan T. Esfahani
+	Semantic Text-to-Face GAN -ST^2FG.	2021	Manan Oza Sukalpa Chanda David Doermann
+ PDF Chat	Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning	2021	Huan Chang Yi‐Cheng Chen Baochang Zhang David Doermann
+ PDF Chat	iffDetector: Inference-Aware Feature Filtering for Object Detection	2021	Mingyuan Mao Yuxin Tian Baochang Zhang Qixiang Ye Wanquan Liu David Doermann
+ PDF Chat	Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas	2021	Leighton Collins Payam Ghassemi Ehsan T. Esfahani David Doermann Karthik Dantu Souma Chowdhury
+	Smart Mask – Wearable IoT Solution for Improved Protection and Personal Health	2021	Jarkko Hyysalo Sandun Dasanayake Jari Hannu Christian Schuss Mikko Rajanen Teemu Leppänen David Doermann J. Sauvola
+	Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas	2021	Leighton Collins Payam Ghassemi Ehsan T. Esfahani David Doermann Karthik Dantu Souma Chowdhury
+ PDF Chat	Deformable Gabor Feature Networks for Biomedical Image Classification	2021	Xuan Gong Xin Xia Wentao Zhu Baochang Zhang David Doermann Li’an Zhuo
+	Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning	2021	Huan Chang Yi‐Cheng Chen Baochang Zhang David Doermann
+	Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections	2021	Mingyuan Mao Baochang Zhang David Doermann Jie Guo Shumin Han Yuan Feng Xiaodi Wang Errui Ding
+	Cogradient Descent for Dependable Learning	2021	Runqi Wang Baochang Zhang Li’an Zhuo Qixiang Ye David Doermann
+	Oriented Object Detection with Transformer	2021	Teli Ma Mingyuan Mao Honghui Zheng Peng Gao Xiaodi Wang Shumin Han Errui Ding Baochang Zhang David Doermann
+	Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track	2021	Yuanhao Zhai Le Wang David Doermann Junsong Yuan
+	Associative Adversarial Learning Based on Selective Attack	2021	Runqi Wang Xiaoyue Duan Baochang Zhang Song Xue Wentao Zhu David Doermann Guodong Guo
+	Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction	2021	Joseph P. Distefano Hemanth Manjunatha Souma Chowdhury Karthik Dantu David Doermann Ehsan T. Esfahani
+	Learning Robot Swarm Tactics over Complex Adversarial Environments	2021	Amir Behjat Hemanth Manjunatha Prajit KrisshnaKumar Apurv Jani Leighton Collins Payam Ghassemi Joseph J. DiStefano David Doermann Karthik Dantu Ehsan T. Esfahani
+	Semantic Text-to-Face GAN -ST^2FG	2021	Manan Oza Sukalpa Chanda David Doermann
+	Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas	2021	Leighton Collins Payam Ghassemi Ehsan T. Esfahani David Doermann Karthik Dantu Souma Chowdhury
+ PDF Chat	A Review of Recent Advances of Binary Neural Networks for Edge Computing	2020	Wenyu Zhao Teli Ma Xuan Gong Baochang Zhang David Doermann
+ PDF Chat	Binarized Neural Architecture Search for Efficient Object Recognition	2020	Hanlin Chen Li’an Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu Rongrong Ji David Doermann Guodong Guo
+ PDF Chat	Cogradient Descent for Bilinear Optimization	2020	Li’an Zhuo Baochang Zhang Linlin Yang Hanlin Chen Qixiang Ye David Doermann Rongrong Ji Guodong Guo
+ PDF Chat	Binarized Neural Architecture Search	2020	Hanlin Chen Li’an Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu David Doermann Rongrong Ji
+	NAS-Count: Counting-by-Density with Neural Architecture Search	2020	Yutao Hu Xiaolong Jiang Xuhui Liu Baochang Zhang Jungong Han Xianbin Cao David Doermann
+	CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks	2020	Li’an Zhuo Baochang Zhang Hanlin Chen Linlin Yang Chen Chen Yanjun Zhu David Doermann
+	Cogradient Descent for Bilinear Optimization	2020	Li’an Zhuo Baochang Zhang Linlin Yang Hanlin Chen Qixiang Ye David Doermann Guodong Guo Rongrong Ji
+	iffDetector: Inference-aware Feature Filtering for Object Detection	2020	Mingyuan Mao Yuxin Tian Baochang Zhang Qixiang Ye Wanquan Liu Guodong Guo David Doermann
+	Anti-Bandit Neural Architecture Search for Model Defense	2020	Hanlin Chen Baochang Zhang Song Xue Xuan Gong Hong Liu Rongrong Ji David Doermann
+	Binarized Neural Architecture Search for Efficient Object Recognition	2020	Hanlin Chen Li’an Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu Rongrong Ji David Doermann Guodong Guo
+ PDF Chat	NAS-Count: Counting-by-Density with Neural Architecture Search	2020	Yutao Hu Xiaolong Jiang Xuhui Liu Baochang Zhang Jungong Han Xianbin Cao David Doermann
+ PDF Chat	Anti-bandit Neural Architecture Search for Model Defense	2020	Hanlin Chen Baochang Zhang Song Xue Xuan Gong Hong Liu Rongrong Ji David Doermann
+	Deformable Gabor Feature Networks for Biomedical Image Classification	2020	Xuan Gong Xin Xia Wentao Zhu Baochang Zhang David Doermann Li’an Zhuo
+ PDF Chat	Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation	2019	Jiaxin Gu Ce Li Baochang Zhang Jungong Han Xianbin Cao Jianzhuang Liu David Doermann
+ PDF Chat	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning	2019	Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao Qixiang Ye Feiyue Huang David Doermann
+ PDF Chat	Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation	2019	Chunlei Liu Wenrui Ding Xin Xia Baochang Zhang Jiaxin Gu Jianzhuang Liu Rongrong Ji David Doermann
+ PDF Chat	Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression	2019	Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji
+	Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network	2019	Xiaolong Jiang Zehao Xiao Baochang Zhang Xiantong Zhen Xianbin Cao David Doermann Ling Shao
+	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning	2019	Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao Qixiang Ye Feiyue Huang David Doermann
+	Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation	2019	Chunlei Liu Wenrui Ding Xin Xia Baochang Zhang Jiaxin Gu Jianzhuang Liu Rongrong Ji David Doermann
+	Binarized Neural Architecture Search	2019	Hanlin Chen Li’an Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu David Doermann Rongrong Ji
+	Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation	2018	Jiaxin Gu Ce Li Baochang Zhang Jungong Han Xianbin Cao Jianzhuang Liu David Doermann
+	Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression	2018	Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji
+ PDF Chat	IOD-CNN: Integrating object detection networks for event recognition	2017	Sungmin Eum Hyungtae Lee Heesung Kwon David Doermann
+	IOD-CNN: Integrating Object Detection Networks for Event Recognition	2017	Sungmin Eum Hyungtae Lee Heesung Kwon David Doermann
+ PDF Chat	Machine-assisted authentication of paper currency: an experiment on Indian banknotes	2015	Ankush Roy Biswajit Halder Utpal Garain David Doermann
+	SHOE: Supervised Hashing with Output Embeddings	2015	Sravanthi Bondugula Varun Manjunatha Larry S. Davis David Doermann
+	Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling	2014	Paul Rodrigues David Zajic David Doermann Michael Bloodgood Peng Ye
+	A random forest system combination approach for error detection in digital dictionaries	2014	Michael Bloodgood Peng Ye Paul Rodrigues David Zajic David Doermann
+	Machine Assisted Authentication of Paper Currency: an Experiment on Indian Banknotes	2014	Ankush Roy Biswajit Halder Utpal Garain David Doermann
+	Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language	2014	David Zajic Michael Maxwell David Doermann Paul Rodrigues Michael Bloodgood

Common Coauthors

Coauthor	Papers Together
Baochang Zhang	35
Junsong Yuan	15
Rongrong Ji	14
Ziyan Wu	12
Xuan Gong	11
Li’an Zhuo	10
Terrence Chen	10
Jianzhuang Liu	10
Yuanhao Zhai	9
Qixiang Ye	9
Benjamin Planche	8
Hanlin Chen	7
Ehsan T. Esfahani	7
Guodong Guo	7
Karthik Dantu	7
Souma Chowdhury	7
Meng Zheng	6
Liangchen Song	6
Xuan Gong	6
Mohammed Javed	5
Jungong Han	5
Xianbin Cao	5
Shaohui Lin	5
Leighton Collins	5
Payam Ghassemi	5
Pengyu Yan	4
Jiaxin Gu	4
Feiyue Huang	4
Hemanth Manjunatha	4
Abhishek Sharma	4
Srikrishna Karanam	4
Tianyu Luan	4
Xin Xia	4
Xiawu Zheng	4
Mingyuan Mao	4
Mahesh Bhosale	3
Xiaolong Jiang	3
Linlin Yang	3
Paul Rodrigues	3
Runqi Wang	3
Michael Bloodgood	3
David Zajic	3
Yunjie Tian	3
Saleem Ahmed	3
Ifeoma Nwogu	2
Rishi Vedula	2
Yuxiang Bao	2
Lijuan Wang	2
Manan Oza	2
Errui Ding	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	31
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	14
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	13
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	12
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	11
+	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	10
+ 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	10
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	10
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	9
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	9
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	7
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	7
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	7
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	7
+ PDF Chat	YOLO9000: Better, Faster, Stronger	2017	Joseph Redmon Ali Farhadi	7
+ PDF Chat	Data-Driven Sparse Structure Selection for Deep Neural Networks	2018	Zehao Huang Naiyan Wang	7
+ PDF Chat	ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression	2017	Jian-Hao Luo Jianxin Wu Weiyao Lin	7
+ PDF Chat	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	2019	Golnaz Ghiasi Tsung-Yi Lin Quoc V. Le	7
+ PDF Chat	Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm	2018	Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wei Liu Kwang‐Ting Cheng	7
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	7
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	6
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	6
+	Efficient Architecture Search by Network Transformation	2017	Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang	6
+	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	6
+	Towards Accurate Binary Convolutional Neural Network	2017	Xiaofan Lin Cong Zhao Wei Pan	6
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	6
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	6
+	Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers	2018	Jianbo Ye Xin Lu Zhe Lin James Z. Wang	5
+ PDF Chat	Local Binary Convolutional Neural Networks	2017	Felix Juefei-Xu Vishnu Naresh Boddeti Marios Savvides	5
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	5
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	5
+	Pruning Filters for Efficient ConvNets	2016	Hao Li Asim Kadav Igor Đurđanović Hanan Samet Hans Peter Graf	5
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	5
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	5
+ PDF Chat	Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation	2019	Xin Chen Lingxi Xie Jun Wu Qi Tian	5
+	Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures	2016	Hengyuan Hu Rui Tao Peng Yu‐Wing Tai Chi-Keung Tang	5
+ PDF Chat	Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation	2019	Jiaxin Gu Ce Li Baochang Zhang Jungong Han Xianbin Cao Jianzhuang Liu David Doermann	5
+ PDF Chat	CornerNet: Detecting Objects as Paired Keypoints	2018	Hei Law Jia Deng	5
+	Training and Inference with Integers in Deep Neural Networks	2018	Shuang Wu Guoqi Li Feng Chen Luping Shi	5
+ PDF Chat	Cascade R-CNN: Delving Into High Quality Object Detection	2018	Zhaowei Cai Nuno Vasconcelos	5
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	5
+	Dynamic Distribution Pruning for Efficient Network Architecture Search	2019	Xiawu Zheng Rongrong Ji Lang Tang Yan Wan Baochang Zhang Yongjian Wu Yunsheng Wu Ling Shao	4
+ PDF Chat	Towards Effective Low-Bitwidth Convolutional Neural Networks	2018	Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid	4
+ PDF Chat	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning	2019	Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao Qixiang Ye Feiyue Huang David Doermann	4
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	4
+ 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	4
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2015	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	4
+	Efficient Neural Architecture Search via Parameter Sharing	2018	Hieu Pham Melody Y. Guan Barret Zoph Quoc V. Le Jeff Dean	4
+	Training wide residual networks for deployment using a single bit for each weight	2018	Mark D. McDonnell	4
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	4