Liu Ren

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 87

Top Topics

Depth Estimation

Class Hierarchy

Autonomous Driving

Orthogonal Projection

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Adam Rashid, Chung Min Kim, Justin Kerr, Letian Fu, Kush Hari, Ayah Ahmad, Kaiyuan Chen, Huang Huang, Marcus Gualtieri, Michael Wang, Christian Juette, Nan Tian, Liu Ren, Ken Goldberg
Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS2. ICRA (2024)
Jiajing Guo, Vikram Mohanty, Jorge Henrique Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis. CHI Extended Abstracts (2024)
Adam Rashid, Chung Min Kim, Justin Kerr, Letian Fu, Kush Hari, Ayah Ahmad, Kaiyuan Chen, Huang Huang, Marcus Gualtieri, Michael Wang, Christian Juette, Nan Tian, Liu Ren, Ken Goldberg
Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS2. CoRR (2024)
Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets. CoRR (2024)
Yuliang Guo, Abhinav Kumar, Cheng Zhao, Ruoyu Wang, Xinyu Huang, Liu Ren
UPNeRF: A Unified Framework for Monocular 3D Object Reconstruction and Pose Estimation. CoRR (2024)
Su Sun, Cheng Zhao, Yuliang Guo, Ruoyu Wang, Xinyu Huang, Yingjie Victor Chen, Liu Ren
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion. CoRR (2024)
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation. CoRR (2024)
Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren
VLP: Vision Language Planning for Autonomous Driving. CoRR (2024)
Jiajing Guo, Vikram Mohanty, Jorge Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis. CoRR (2024)
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CoRR (2024)
Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
AttributionScanner: A Visual Analytics System for Metadata-Free Data-Slicing Based Model Validation. CoRR (2024)
Jiajing Guo, Vikram Mohanty, Hongtao Hao, Liang Gou, Liu Ren
Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study. IUI Companion (2024)
Cheng Zhao, Su Sun, Ruoyu Wang, Yuliang Guo, Jun-Jun Wan, Zhou Huang, Xinyu Huang, Yingjie Victor Chen, Liu Ren
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Surrounding Autonomous Driving Scenes. CoRR (2024)
Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren
LORD: Large Models based Opposite Reward Design for Autonomous Driving. CoRR (2024)
Suphanut Jamonnak, Jiajing Guo, Wenbin He, Liang Gou, Liu Ren
OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects. CoRR (2024)
Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI (2024)
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. AAAI (2024)
Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow. CoRR (2024)
Kaiyuan Chen, Michael Wang, Marcus Gualtieri, Nan Tian, Christian Juette, Liu Ren, Jeffrey Ichnowski, John Kubiatowicz, Ken Goldberg
FogROS2-LS: A Location-Independent Fog Robotics Framework for Latency Sensitive ROS2 Applications. ICRA (2024)
Shubhang Bhatnagar, Sharath Gopal, Narendra Ahuja, Liu Ren
Long-Distance Gesture Recognition using Dynamic Neural Networks. CoRR (2023)
Md. Naimul Hoque, Wenbin He, Arvind Kumar Shekar, Liang Gou, Liu Ren
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Xiaoyu Zhang, Jorge Piazentin Ono, Huan Song, Liang Gou, Kwan-Liu Ma, Liu Ren
SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. NeurIPS (2023)
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. NeurIPS (2023)
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
: Language-Guided Self-Supervised Semantic Segmentation. CoRR (2023)
Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. CoRR (2023)
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates. CoRR (2023)
Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. NeurIPS (2023)
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation. CVPR (2023)
Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. CoRR (2023)
Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren
CoAug: Combining Augmentation of Labels and Labelling Rules. ACL (Findings) (2023)
Masa Hu, Garrick Brazil, Nanxiang Li, Liu Ren, Xiaoming Liu
Camera Self-Calibration Using Human Faces. FG (2023)
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. CoRR (2023)
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. CoRR (2023)
Jiajing Guo, Andrew Benton, Nan Tian, William Ma, Nicholas Feffer, Zhengyu Zhou, Liu Ren
EyeClick: A Robust Two-Step Eye-Hand Interaction for Text Entry in Augmented Reality Glasses. UIST (Adjunct Volume) (2023)
Shubhang Bhatnagar, Sharath Gopal, Narendra Ahuja, Liu Ren
Long-Distance Gesture Recognition Using Dynamic Neural Networks. IROS (2023)
Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation. CoRR (2022)
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Self-supervised Semantic Segmentation Grounded in Visual Concepts. CoRR (2022)
Yaojie Liu, Andrew Z. Hou, Xinyu Huang, Liu Ren, Xiaoming Liu
Blind Removal of Facial Foreign Shadows. BMVC (2022)
Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion. CVPR (2022)
Wenbin He, Lincan Zou, Arvind Kumar Shekar, Liang Gou, Liu Ren
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation. CoRR (2022)
Zhenge Zhao, Panpan Xu, Carlos Scheidegger, Liu Ren
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
Novelty-based Generalization Evaluation for Traffic Light Detection. CoRR (2022)
Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation. CVPR (2022)
Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion. CoRR (2022)
Huan Song, Zeng Dai, Panpan Xu, Liu Ren
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Huan Song, Zeng Dai, Panpan Xu, Liu Ren
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning. CoRR (2022)
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Self-supervised Semantic Segmentation Grounded in Visual Concepts. IJCAI (2022)
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. ICASSP (2021)
Zhenge Zhao, Panpan Xu, Carlos Scheidegger, Liu Ren
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models. CoRR (2021)
Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation. 3DV (2021)
Arvind Kumar Shekar, Liang Gou, Liu Ren, Axel Wendt
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications. Int. J. Comput. Vis. 129 (4) (2021)
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. CoRR (2021)
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
Novelty-based Generalization Evaluation for Traffic Light Detection. ICMLA (2021)
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. CoRR (2020)
Junhan Zhao, Zeng Dai, Panpan Xu, Liu Ren
ProtoViewer: Visual Interpretation and Diagnostics of Deep Neural Networks with Factorized Prototypes. IEEE VIS (Short Papers) (2020)
Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Subhajit Das, Panpan Xu, Zeng Dai, Alex Endert, Liu Ren
Interpreting Deep Neural Networks through Prototype Factorization. ICDM (Workshops) (2020)
Yousef Atoum, Mao Ye, Liu Ren, Ying Tai, Xiaoming Liu
Color-wise Attention Network for Low-light Image Enhancement. CVPR Workshops (2020)
Eman T. Hassan, Nanxiang Li, Liu Ren
Semantic Consistency: The Key to Improve Traffic Light Detection with Data Augmentation. IV (2020)
Yulin Yang, Benzun Pious Wisely Babu, Chuchu Chen, Guoquan Huang, Liu Ren
) For Visual Inertial Navigation. ICRA (2020)
Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Liu Ren
Improve Unsupervised Domain Adaptation with Mixup Training. CoRR (2020)
Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren
Visualizing Classification Structure of Large-Scale Classifiers. CoRR (2020)
Yao Ming, Panpan Xu, Furui Cheng, Huamin Qu, Liu Ren
ProtoSteer: Steering Deep Sequence Model with Prototypes. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Dongyu Liu, Panpan Xu, Liu Ren
TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data. CoRR (2019)
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren
Interpretable and Steerable Sequence Learning via Prototypes. CoRR (2019)
Fangfang Zhou, Xiaoru Lin, Chang Liu, Ying Zhao, Panpan Xu, Liu Ren, Tingmin Xue, Lei Ren
A survey of visualization for smart manufacturing. J. Vis. 22 (2) (2019)
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren
Interpretable and Steerable Sequence Learning via Prototypes. KDD (2019)
Gromit Yeuk-Yin Chan, Panpan Xu, Zeng Dai, Liu Ren
ViBr: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
Controlling the Amount of Verbatim Copying in Abstractive Summarization. CoRR (2019)
Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
Do Convolutional Neural Networks Learn Class Hierarchy? IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Benzun Pious Wisely Babu, Zhixin Yan, Mao Ye, Liu Ren
On Exploiting Per-Pixel Motion Conflicts to Extract Secondary Motions. ISMAR (2018)
Yuanzhe Chen, Panpan Xu, Liu Ren
Sequence Synopsis: Optimize Visual Summary of Temporal Event Data. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Panpan Xu, Honghui Mei, Liu Ren, Wei Chen
ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Yueting Zhuang, Ramesh C. Jain, Wen Gao, Liu Ren, Kiyoharu Aizawa
Panel: Cross-media Intelligence. ACM Multimedia (2017)
Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
Pose-Invariant Face Alignment with a Single CNN. ICCV (2017)
Zhixin Yan, Mao Ye, Liu Ren
Dense Visual SLAM with Probabilistic Surfel Map. IEEE Trans. Vis. Comput. Graph. 23 (11) (2017)
Bilal Alsallakh, Liu Ren
PowerSet: A Comprehensive Visualization of Set Intersections. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
Pose-Invariant Face Alignment with a Single CNN. CoRR (2017)
Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
Do Convolutional Neural Networks Learn Class Hierarchy? CoRR (2017)
Chao Du, Yen-Lin Chen, Mao Ye, Liu Ren
Edge Snapping-Based Depth Enhancement for Dynamic Occlusion Handling in Augmented Reality. ISMAR (2016)
Benzun P. Wisely Babu, Soohwan Kim, Zhixin Yan, Liu Ren
σ-DVO: Sensor Noise Model Meets Dense Visual Odometry. ISMAR (2016)
Jennifer Chandler, Lei Yang, Liu Ren
Procedural window lighting effects for real-time city rendering. I3D (2015)
Mao Ye, Xianwang Wang, Ruigang Yang, Liu Ren, Marc Pollefeys
Accurate 3D pose estimation from a single depth image. ICCV (2011)
Xinyu Huang, Liu Ren, Ruigang Yang
Image deblurring for less intrusive iris capture. CVPR (2009)
Liu Ren, Alton Patrick, Alexei A. Efros, Jessica K. Hodgins, James M. Rehg
A data-driven approach to quantifying natural human motion. ACM Trans. Graph. 24 (3) (2005)
Liu Ren, Gregory Shakhnarovich, Jessica K. Hodgins, Hanspeter Pfister, Paul A. Viola
Learning silhouette features for control of human motion. ACM Trans. Graph. 24 (4) (2005)
Liu Ren, Gregory Shakhnarovich, Jessica K. Hodgins, Hanspeter Pfister, Paul A. Viola
Learning silhouette features for control of human motion. SIGGRAPH Sketches (2004)
Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfister
Hardware-Accelerated Adaptive EWA Volume Splatting. IEEE Visualization (2004)
Liu Ren, Hanspeter Pfister, Matthias Zwicker
Object Space EWA Surface Splatting: A Hardware Accelerated Approach to High Quality Point Rendering. Comput. Graph. Forum 21 (3) (2002)