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2020 – today
- 2023
[j20]Yuan Ren
, Bingbing Liu, Ran Cheng, Christopher Agia:
Lightweight Semantic-Aided Localization With Spinning LiDAR Sensor. IEEE Trans. Intell. Veh. 8(1): 605-615 (2023)- [c43]Chen Yang, Peihao Li, Zanwei Zhou, Shanxin Yuan, Bingbing Liu, Xiaokang Yang, Weichao Qiu, Wei Shen:
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds. CVPR 2023: 16549-16558 - [c42]Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds. ICRA 2023: 8239-8245 - [c41]Chenqi Li, Yuan Ren, Bingbing Liu:
PCGen: Point Cloud Generator for LiDAR Simulation. ICRA 2023: 11676-11682 - [c40]Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu:
Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections. IV 2023: 1-7 - [c39]Yixuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu:
AOP-Net: All-in-One Perception Network for LiDAR-based Joint 3D Object Detection and Panoptic Segmentation. IV 2023: 1-7 - [i24]Yixuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu:
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation. CoRR abs/2302.00885 (2023) - [i23]Chen Yang, Peihao Li, Zanwei Zhou, Shanxin Yuan, Bingbing Liu, Xiaokang Yang, Weichao Qiu, Wei Shen:
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds. CoRR abs/2304.06287 (2023) - [i22]Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu:
Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization. CoRR abs/2306.05663 (2023) - [i21]Ziyu Li, Jingming Guo, Tongtong Cao, Bingbing Liu, Wankou Yang:
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds. CoRR abs/2308.08140 (2023) - [i20]Zheyuan Yang, Yibo Liu, Guile Wu, Tongtong Cao, Yuan Ren, Yang Liu, Bingbing Liu:
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation: Technical Report for ICCV 2023 OmniObject3D Challenge. CoRR abs/2309.16110 (2023) - [i19]Yibo Liu, Kelly Zhu, Guile Wu, Yuan Ren, Bingbing Liu, Yang Liu, Jinjun Shan:
MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving. CoRR abs/2309.16715 (2023) - 2022
- [c38]Hamidreza Fazlali, Yixuan Xu, Yuan Ren, Bingbing Liu:
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation. CVPR 2022: 17171-17180 - [c37]Yuan Ren, Siyan Zhao, Bingbing Liu:
Object Insertion Based Data Augmentation for Semantic Segmentation. ICRA 2022: 359-365 - [c36]Dongfeng Bai, Tongtong Cao, Jingming Guo, Bingbing Liu:
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving. ICRA 2022: 2576-2582 - [c35]Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu:
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. ICRA 2022: 2649-2655 - [c34]Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering. ICRA 2022: 9207-9213 - [i18]Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu:
HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation. CoRR abs/2201.05585 (2022) - [i17]Hamidreza Fazlali, Yixuan Xu, Yuan Ren, Bingbing Liu:
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation. CoRR abs/2203.02133 (2022) - [i16]Chenqi Li, Yuan Ren, Bingbing Liu:
PCGen: Point Cloud Generator for LiDAR Simulation. CoRR abs/2210.08738 (2022) - [i15]Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu:
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training. CoRR abs/2210.10180 (2022) - 2021
- [j19]Yue Li, Bingbing Liu, Mingyu Wang, Gang Liu, Quan Dong:
Experimental and Numerical Investigation of the Shock Wave Induced by a High-Pressure Diesel Spray. IEEE Access 9: 70472-70478 (2021) - [j18]Bingbing Liu, Xiaolong Guo, Yugang Yu, Lin Tian:
Manufacturer's contract choice facing competing downstream online retail platforms. Int. J. Prod. Res. 59(10): 3017-3041 (2021) - [c33]Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network. CVPR 2021: 12547-12556 - [c32]Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. ICCV 2021: 16056-16065 - [c31]Martin Gerdzhev, Ryan Razani, Ehsan Taghavi, Bingbing Liu:
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. ICRA 2021: 9543-9549 - [c30]Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu:
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. ICRA 2021: 9550-9556 - [c29]Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. ICRA 2021: 11746-11752 - [c28]Eduardo R. Corral-Soto, Amir Nabatchian, Martin Gerdzhev, Bingbing Liu:
LiDAR few-shot domain adaptation via integrated CycleGAN and 3D object detector with joint learning delay. ICRA 2021: 13099-13105 - [c27]Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu:
S3Net: 3D LiDAR Sparse Semantic Segmentation Network. ICRA 2021: 14040-14046 - [i14]Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. CoRR abs/2102.04530 (2021) - [i13]Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu:
S3Net: 3D LiDAR Sparse Semantic Segmentation Network. CoRR abs/2103.08745 (2021) - [i12]Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu:
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. CoRR abs/2103.08852 (2021) - [i11]Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu:
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. CoRR abs/2107.09783 (2021) - [i10]Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. CoRR abs/2108.08401 (2021) - [i9]Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering. CoRR abs/2108.13588 (2021) - [i8]Dongfeng Bai, Tongtong Cao, Jingming Guo, Bingbing Liu:
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving. CoRR abs/2110.03968 (2021) - [i7]Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds. CoRR abs/2111.01723 (2021) - 2020
- [j17]Sugen Chen, Junfeng Cao, Fenglin Chen, Bingbing Liu:
Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification. Neural Process. Lett. 51(1): 41-66 (2020) - [c26]Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. CoRL 2020: 2148-2161 - [c25]Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo:
Adaptive Hierarchical Down-Sampling for Point Cloud Classification. CVPR 2020: 12953-12961 - [c24]Yang Liu, Bingbing Liu, Hongbo Zhang:
Estimation of 2D Bounding Box Orientation with Convex-Hull Points - A Quantitative Evaluation on Accuracy and Efficiency. IV 2020: 945-950 - [c23]Chung Won Lee, Nasif Nayeer, Danson Evan Garcia, Ankur Agrawal, Bingbing Liu:
Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk. IV 2020: 1317-1322 - [c22]Eduardo R. Corral-Soto, Bingbing Liu:
Understanding Strengths and Weaknesses of Complementary Sensor Modalities in Early Fusion for Object Detection. IV 2020: 1785-1792 - [i6]Martin Gerdzhev, Ryan Razani, Ehsan Taghavi, Bingbing Liu:
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. CoRR abs/2008.10544 (2020) - [i5]Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. CoRR abs/2009.00743 (2020) - [i4]Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. CoRR abs/2012.09242 (2020)
2010 – 2019
- 2019
- [c21]Bingbing Liu, Mingyu Wang, Fulin Yu, Shaojun Zhang:
Intelligent Computation of Bubble Group Motion in Mesoscale Simulation. DPTA 2019: 871-880 - [c20]Ehsan Nezhadarya, Yang Liu, Bingbing Liu:
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud. IV 2019: 1557-1564 - [i3]Ehsan Nezhadarya, Ehsan Taghavi, Bingbing Liu, Jun Luo:
Adaptive Hierarchical Down-Sampling for Point Cloud Classification. CoRR abs/1904.08506 (2019) - [i2]Ehsan Nezhadarya, Yang Liu, Bingbing Liu:
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud. CoRR abs/1908.07085 (2019) - [i1]Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu:
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving. CoRR abs/1911.09712 (2019) - 2018
- [j16]Bingbing Liu, Yu Kang, Xiaofeng Jiang, Jiahu Qin:
A Fast Approximation Method for Partially Observable Markov Decision Processes. J. Syst. Sci. Complex. 31(6): 1423-1436 (2018) - [j15]Wenyu Chen, Jia Du, Wei Xiong, Yue Wang, Shue-Ching Chia, Bingbing Liu, Jierong Cheng, Ying Gu:
A Noise-Tolerant Algorithm for Robot-Sensor Calibration Using a Planar Disk of Arbitrary 3-D Orientation. IEEE Trans Autom. Sci. Eng. 15(1): 251-263 (2018) - 2017
- [j14]Sai Manoj Prakhya, Bingbing Liu, Weisi Lin, Vinit Jakhetiya, Sharath Chandra Guntuku:
B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds. Auton. Robots 41(7): 1501-1520 (2017) - [j13]Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu:
3DHoPD: A Fast Low-Dimensional 3-D Descriptor. IEEE Robotics Autom. Lett. 2(3): 1472-1479 (2017) - [j12]Hyungjin Kim, Bingbing Liu, Chi Yuan Goh, Serin Lee, Hyun Myung:
Robust Vehicle Localization Using Entropy-Weighted Particle Filter-based Data Fusion of Vertical and Road Intensity Information for a Large Scale Urban Area. IEEE Robotics Autom. Lett. 2(3): 1518-1524 (2017) - [j11]Heng Wang, Bin Wang, Bingbing Liu, Xiaoli Meng, Guang-Hong Yang:
Pedestrian recognition and tracking using 3D LiDAR for autonomous vehicle. Robotics Auton. Syst. 88: 71-78 (2017) - [j10]Xiaoli Meng, Heng Wang, Bingbing Liu:
A Robust Vehicle Localization Approach Based on GNSS/IMU/DMI/LiDAR Sensor Fusion for Autonomous Vehicles. Sensors 17(9): 2140 (2017) - [j9]Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin:
Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. Signal Process. Image Commun. 51: 40-49 (2017) - [c19]Hyungjin Kim, Bingbing Liu, Hyun Myung:
Road-feature extraction using point cloud and 3D LiDAR sensor for vehicle localization. URAI 2017: 891-892 - 2016
- [j8]Sai Manoj Prakhya, Bingbing Liu, Weisi Lin:
Detecting keypoint sets on 3D point clouds via Histogram of Normal Orientations. Pattern Recognit. Lett. 83: 42-48 (2016) - 2015
- [j7]Heng Wang, Shoudong Huang, Kasra Khosoussi, Udo Frese, Gamini Dissanayake, Bingbing Liu:
Dimensionality reduction for point feature SLAM problems with spherical covariance matrices. Autom. 51: 149-157 (2015) - [j6]Pengfei Wu, Yiguang Liu, Yongzhong Li, Bingbing Liu:
Robust Prostate Segmentation Using Intrinsic Properties of TRUS Images. IEEE Trans. Medical Imaging 34(6): 1321-1335 (2015) - [c18]Qun Zhang, Xiaojun Wu, Bingbing Liu, Albertus Hendrawan Adiwahono, Tran Anh Dung, Tai Wen Chang:
A hierarchical topological planner for multi-storey building navigation. AIM 2015: 731-736 - [c17]Prakhya Sai Manoj, Bingbing Liu, Weisi Lin, Usman Qayyum:
Sparse Depth Odometry: 3D keypoint based pose estimation from dense depth data. ICRA 2015: 4216-4223 - [c16]Sai Manoj Prakhya, Bingbing Liu, Weisi Lin:
B-SHOT: A binary feature descriptor for fast and efficient keypoint matching on 3D point clouds. IROS 2015: 1929-1934 - [c15]Prakhya Sai Manoj, Bingbing Liu, Yan Rui, Weisi Lin:
A closed-form estimate of 3D ICP covariance. MVA 2015: 526-529 - 2014
- [c14]Bingbing Liu, Albertus Hendrawan Adiwahono, Tai Wen Chang, Boon Siew Han:
Localization for humanoid robots with sway compensation in indoor environments. ICARCV 2014: 42-47 - [c13]Xiaoli Meng, Usman Qayyum, Heng Wang, Bingbing Liu:
Online unscented Rauch-Tung-Striebel smoother for 6DOF vehicle localization. ICARCV 2014: 1752-1757 - 2013
- [j5]Albertus Hendrawan Adiwahono, Chee-Meng Chew, Bingbing Liu:
Push Recovery through walking phase Modification for bipedal locomotion. Int. J. Humanoid Robotics 10(3) (2013) - 2012
- [j4]Yiguang Liu, Bingbing Liu, Yifei Pu, Xiaohui Chen, Hong Cheng:
Low-rank matrix decomposition in L1-norm by dynamic systems. Image Vis. Comput. 30(11): 915-921 (2012) - [c12]Yingjie Shi, Xiaofeng Meng, Bingbing Liu:
Halt or Continue: Estimating Progress of Queries in the Cloud. DASFAA (2) 2012: 169-184 - [c11]Bingbing Liu, Xi Zheng, Xiaojun Wu, Yiguang Liu:
Quasi Monte Carlo localization for mobile robots. ICARCV 2012: 620-625 - [c10]Albertus Hendrawan Adiwahono, Bingbing Liu, Nutan Chen, Tai Wen Chang, Tran Anh Dung, Xiaojun Wu, Boon Siew Han:
System architecture for an interactive patrolling humanoid robot. WASA 2012: 119-123 - 2011
- [j3]Yiguang Liu, Bingbing Liu, Sai-Ho Ling:
The almost periodic solution of Lotka-Volterra recurrent neural networks with delays. Neurocomputing 74(6): 1062-1068 (2011) - 2010
- [c9]Yingjie Shi, Xiaofeng Meng, Jing Zhao, Xiangmei Hu, Bingbing Liu, Haiping Wang:
Benchmarking cloud-based data management systems. CloudDB@CIKM 2010: 47-54 - [c8]Rajesh Arumugam, Vikas Reddy Enti, Bingbing Liu, Xiaojun Wu, Krishnamoorthy Baskaran, Foo Kong Foong, Appadorai Senthil Kumar, Dee Meng Kang, Wai Kit Goh:
DAvinCi: A cloud computing framework for service robots. ICRA 2010: 3084-3089 - [c7]Bingbing Liu, Xiaojun Wu, Vikas Reddy Enti, Dee Meng Kang, Wei Liu:
A RTLS/DR based localization system architecture for indoor mobile robots. WOWMOM 2010: 1-6
2000 – 2009
- 2009
- [j2]Yiguang Liu, Zhisheng You, Bingbing Liu:
Delay Independent and Dependent Stability Analysis for Cohen-Grossberg Neural Networks with Time-Varying Delays. Int. J. Bifurc. Chaos 19(9): 3149-3159 (2009) - [c6]Vikas Reddy Enti, Rajesh Arumugam, Krishnamoorthy Baskaran, Bingbing Liu, Foo Kong Foong, Appadorai Senthil Kumar, Dee Meng Kang, Xiaojun Wu, Wai Kit Goh:
Tea table, come closer to me. HRI 2009: 325-326 - 2007
- [c5]Bingbing Liu, Soo Chin Liew:
Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in java 2006. IGARSS 2007: 286-289 - 2005
- [j1]Bingbing Liu, Martin David Adams, Wijerupage Sardha Wijesoma, Javier Ibañez-Guzmán:
Range error detection caused by occlusion in non-coaxial LADARs for scene interpretation. J. Field Robotics 22(10): 549-567 (2005) - [c4]Bingbing Liu, Martin David Adams, Javier Ibañez-Guzmán:
Multi-aided Inertial Navigation for Ground Vehicles in Outdoor Uneven Environments. ICRA 2005: 4703-4708 - [c3]Bingbing Liu, Martin Adams, Javier Ibañez-Guzmán:
Minima controlled recursive averaging noise reduction for multi-aided inertial navigation of ground vehicles. IROS 2005: 3408-3414 - 2004
- [c2]Bingbing Liu, Martin David Adams, Javier Ibañez-Guzmán, W. Sardha Wijesoma:
Detection of range errors due to occlusion in separated transceiver LADARs. ICARCV 2004: 443-448 - [c1]Bingbing Liu, Martin Adams, Javier Ibañez-Guzmán, Wijerupage Sardha Wijesoma:
Range errors due to occlusion in non-coaxial LADARs. IROS 2004: 2173-2178
Coauthor Index
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last updated on 2023-10-18 22:47 CEST by the dblp team
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