Ying Li

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All published works
Action Title Year Authors
+ PDF Chat Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution 2024 Qingping Zheng
Ling Zheng
Yuanfan Guo
Ying Li
Songcen Xu
Jiankang Deng
Hang Xu
+ PDF Chat TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling 2024 Weiran Chen
Xin Li
Jiaqi Su
Guiqian Zhu
Ying Li
Ji Yi
Chunping Liu
+ Multiphase radiation mechanism based dual-scale ablation model for woven thermal protection materials 2024 Haoran Liang
Weijie Li
Xiaoyan Liang
Mengdie Zhu
Zhongwei Zhang
Ying Li
+ PDF Chat Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection 2023 Shihao Wang
Xiaohui Jiang
Ying Li
+ PDF Chat Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores 2023 Shukai Liu
Chenming Wu
Ying Li
Liangjun Zhang
+ PDF Chat Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection 2023 Shihao Wang
Yingfei Liu
Tiancai Wang
Ying Li
Xiangyu Zhang
+ HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models 2023 Chanyue Wu
Dong Wang
Hanyu Mao
Ying Li
+ Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization 2022 Xizhe Xue
Dongdong Yu
Lingqiao Liu
Yu Liu
Ying Li
Zehuan Yuan
Ping Song
Mike Zheng Shou
+ What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives 2022 Z J Li
Zebin Xu
Ying Li
Xianfeng Gu
Na Lei
+ PDF Chat Cirrus: A Long-range Bi-pattern LiDAR Dataset 2021 Ze Wang
Sihao Ding
Ying Li
Jonas Fenn
Sohini Roychowdhury
Andreas Wallin
Lane Martin
Scott Ryvola
Guillermo Sapiro
Qiang Qiu
+ PDF Chat Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review 2021 Yaodong Cui
Ren Chen
Wenbo Chu
Long Chen
Daxin Tian
Ying Li
Dongpu Cao
+ A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings 2021 Ying Li
Weipan Xu
Haohui Chen
Junhao Jiang
Xun Li
+ PDF Chat Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review 2020 Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Michael A. Chapman
Dongpu Cao
Jonathan Li
+ Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning 2020 Haokui Zhang
Yü Liu
Bei Fang
Ying Li
Lingqiao Liu
Ian Reid
+ Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review 2020 Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Dongpu Cao
Jonathan Li
Michael A. Chapman
+ Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network 2020 Lingyi Liu
Yunpeng Bai
Ying Li
+ Cirrus: A Long-range Bi-pattern LiDAR Dataset 2020 Ze Wang
Sihao Ding
Ying Li
Jonas Fenn
Sohini Roychowdhury
Andreas Wallin
Lane Martin
Scott Ryvola
Guillermo Sapiro
Qiang Qiu
+ PDF Chat Range Adaptation for 3D Object Detection in LiDAR 2019 Ze Wang
Sihao Ding
Ying Li
Minming Zhao
Sohini Roychowdhury
Andreas Wallin
Guillermo Sapiro
Qiang Qiu
+ Exploiting temporal consistency for real-time video depth estimation 2019 Haokui Zhang
Chunhua Shen
Ying Li
Yuanzhouhan Cao
Yu Liu
Youliang Yan
+ Range Adaptation for 3D Object Detection in LiDAR 2019 Ze Wang
Sihao Ding
Ying Li
Minming Zhao
Sohini Roychowdhury
Andreas Wallin
Guillermo Sapiro
Qiang Qiu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection 2018 Yin Zhou
Oncel Tuzel
7
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
7
+ PDF Chat Multi-view 3D Object Detection Network for Autonomous Driving 2017 Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
7
+ Vehicle Detection from 3D Lidar Using Fully Convolutional Network 2016 Bo Li
Tianlei Zhang
Tian Xia
5
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
5
+ PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 2017 Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
5
+ PDF Chat SPLATNet: Sparse Lattice Networks for Point Cloud Processing 2018 Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
Evangelos Kalogerakis
Ming–Hsuan Yang
Jan Kautz
5
+ PDF Chat PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017 Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
5
+ PDF Chat Joint 3D Proposal Generation and Object Detection from View Aggregation 2018 Jason S. Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven L. Waslander
5
+ PDF Chat Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks 2017 Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
4
+ The ApolloScape Dataset for Autonomous Driving 2018 Xinyu Huang
Xinjing Cheng
Qichuan Geng
Binbin Cao
Dingfu Zhou
Peng Wang
Yuanqing Lin
Ruigang Yang
4
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
4
+ PDF Chat nuScenes: A Multimodal Dataset for Autonomous Driving 2020 Holger Caesar
Varun Bankiti
Alex Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yu Pan
Giancarlo Baldan
Oscar Beijbom
4
+ Vehicle Detection from 3D Lidar Using Fully Convolutional Network 2016 Bo Li
Tianlei Zhang
Tian Xia
4
+ PDF Chat PIXOR: Real-time 3D Object Detection from Point Clouds 2018 Bin Yang
Wenjie Luo
Raquel Urtasun
4
+ PDF Chat PointPillars: Fast Encoders for Object Detection From Point Clouds 2019 Alex Lang
Sourabh Vora
Holger Caesar
Lubing Zhou
Jiong Yang
Oscar Beijbom
4
+ PDF Chat 3D fully convolutional network for vehicle detection in point cloud 2017 Bo Li
4
+ PDF Chat PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation 2018 Danfei Xu
Dragomir Anguelov
Ashesh Jain
3
+ PDF Chat PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud 2019 Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3
+ PDF Chat 3D ShapeNets: A deep representation for volumetric shapes 2015 Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
3
+ PDF Chat Learning Transferable Architectures for Scalable Image Recognition 2018 Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
3
+ 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
3
+ PDF Chat Frustum PointNets for 3D Object Detection from RGB-D Data 2018 Charles R. Qi
Wei Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3
+ PDF Chat Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models 2017 Roman Klokov
Victor Lempitsky
3
+ Deep Continuous Fusion for Multi-Sensor 3D Object Detection 2020 Ming Liang
Bin Yang
Shenlong Wang
Raquel Urtasun
3
+ PDF Chat Volumetric and Multi-view CNNs for Object Classification on 3D Data 2016 Charles R. Qi
Hao Su
Matthias NieBner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3
+ PDF Chat OctNet: Learning Deep 3D Representations at High Resolutions 2017 Gernot Riegler
Ali Osman Ulusoy
Andreas Geiger
3
+ PDF Chat Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs 2017 Martin Simonovsky
Nikos Komodakis
3
+ PDF Chat Multi-view Convolutional Neural Networks for 3D Shape Recognition 2015 Hang Su
Subhransu Maji
Evangelos Kalogerakis
Erik Learned-Miller
3
+ PDF Chat 3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation 2018 Angela Dai
Matthias Nießner
3
+ Deep Learning Advances on Different 3D Data Representations: A Survey. 2018 Eman Ahmed
Alexandre Saint
Abd El Rahman Shabayek
Kseniya Cherenkova
Rig Das
Gleb Gusev
Djamila Aouada
Björn Ottersten
2
+ PDF Chat YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud 2019 Waleed Ali
Sherif Abdelkarim
Mahmoud Zidan
Mohamed Zahran
Ahmad El Sallab
2
+ PDF Chat Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods 2018 Hugues Thomas
François Goulette
Jean‐Emmanuel Deschaud
Beatriz Marcotegui
Yann LeGall
2
+ PDF Chat 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration 2018 Zi Jian Yew
Gim Hee Lee
2
+ PDF Chat Domain-Adversarial Training of Neural Networks 2017 Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
2
+ PDF Chat Object Detection With Deep Learning: A Review 2019 Zhong‐Qiu Zhao
Peng Zheng
Shou-Tao Xu
Xindong Wu
2
+ Deep Learning for Generic Object Detection: A Survey 2018 Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
Matti Pietikäinen
2
+ Sparse 3D convolutional neural networks 2015 Ben Graham
2
+ PDF Chat A Kernel Method for the Two-Sample-Problem 2007 Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alexander J. Smola
2
+ 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
2
+ Classification of Point Cloud Scenes with Multiscale Voxel Deep Network 2018 Xavier Roynard
Jean‐Emmanuel Deschaud
François Goulette
2
+ BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. 2018 Fisher Yu
Wenqi Xian
Yingying Chen
Fangchen Liu
Mike Liao
Vashisht Madhavan
Trevor Darrell
2
+ Spherical Convolutional Neural Network for 3D Point Clouds 2018 Huan Lei
Naveed Akhtar
Ajmal Mian
2
+ Canonical and Compact Point Cloud Representation for Shape Classification 2018 Kent Fujiwara
Ikuro Sato
Mitsuru Ambai
Yuichi Yoshida
Yoshiaki Sakakura
2
+ PDF Chat Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources 2017 Xiao Xiang Zhu
Devis Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
2
+ Optimal kernel choice for large-scale two-sample tests 2012 Arthur Gretton
Dino Sejdinović
Heiko Strathmann
Sivaraman Balakrishnan
Massimiliano Pontil
Kenji Fukumizu
Bharath K. Sriperumbudur
2
+ A comprehensive review of 3D point cloud descriptors. 2018 Xian-Feng Han
Jesse S. Jin
Xie Juan
Mingjie Wang
Wei Jiang
2
+ PDF Chat Playing for Data: Ground Truth from Computer Games 2016 Stephan R. Richter
Vibhav Vineet
Stefan Roth
Vladlen Koltun
2
+ Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling 2016 Jiajun Wu
Chengkai Zhang
Tianfan Xue
William T. Freeman
Joshua B. Tenenbaum
2
+ PDF Chat SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation 2018 Weiyue Wang
Ronald Yu
Qiangui Huang
Ulrich Neumann
2