Liu Ren

147 papers A* 30A 7B 1C 2Misc 1Journal 93Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
No Calibration, No Depth, No Problem: Cross-Sensor View Synthesis with 3D Consistency.
CoRR
Cho-Ying Wu, Zixun Huang, Xinyu Huang, Liu Ren
2026 J jnl
Reconstruction Matters: Learning Geometry-Aligned BEV Representation through 3D Gaussian Splatting.
CoRR
Yiren Lu, Xin Ye, Burhaneddin Yaman, Jingru Luo, Zhexiao Xiong, Liu Ren, Yu Yin
2026 J jnl
UniDAC: Universal Metric Depth Estimation for Any Camera.
CoRR
Girish Chandar Ganesan, Yuliang Guo, Liu Ren, Xiaoming Liu
2026 J jnl
UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving.
CoRR
Zhexiao Xiong, Xin Ye, Burhaneddin Yaman, Sheng Cheng, Yiren Lu, Jingru Luo, Nathan Jacobs, Liu Ren
2026 J jnl
VCR: Interpretable and interactive debugging of object detection models with visual concepts.
Inf. Syst.
Jie Jeff Xu, Saahir Dhanani, Jorge Piazentin Ono, Wenbin He, Liu Ren, Kexin Rong
2025 J jnl
3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians.
CoRR
Zixun Huang, Cho-Ying Wu, Yuliang Guo, Xinyu Huang, Liu Ren
2025 J jnl
ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving.
CoRR
Yunsheng Ma, Burhaneddin Yaman, Xin Ye, Mahmut Yurt, Jingru Luo, Abhirup Mallik, Ziran Wang, Liu Ren
2025 A* conf
AdaWM: Adaptive World Model based Planning for Autonomous Driving.
ICLR
Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Liu Ren, Junshan Zhang
2025 J jnl
AdaWM: Adaptive World Model based Planning for Autonomous Driving.
CoRR
Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Liu Ren, Junshan Zhang
2025 J jnl
AttributionScanner: A Visual Analytics System for Model Validation With Metadata-Free Slice Finding.
IEEE Trans. Vis. Comput. Graph.
Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2025 A* conf
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance.
CVPR
Xin Ye, Burhaneddin Yaman, Sheng Cheng, Feng Tao, Abhirup Mallik, Liu Ren
2025 J jnl
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance.
CoRR
Xin Ye, Burhaneddin Yaman, Sheng Cheng, Feng Tao, Abhirup Mallik, Liu Ren
2025 J jnl
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector.
CoRR
Abhinav Kumar, Yuliang Guo, Zhihao Zhang, Xinyu Huang, Liu Ren, Xiaoming Liu
2025 J jnl
DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models.
CoRR
Chenbin Pan, Wenbin He, Zhengzhong Tu, Liu Ren
2025 A* conf
Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera.
CVPR
Yuliang Guo, Sparsh Garg, S. Mahdi H. Miangoleh, Xinyu Huang, Liu Ren
2025 J jnl
Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera.
CoRR
Yuliang Guo, Sparsh Garg, S. Mahdi H. Miangoleh, Xinyu Huang, Liu Ren
2025 J jnl
Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parking.
CoRR
Zixuan Wu, Hengyuan Zhang, Ting-Hsuan Chen, Yuliang Guo, David Paz, Xinyu Huang, Liu Ren
2025 A* conf
FogROS2-PLR: Probabilistic Latency-Reliability for Cloud Robotics.
ICRA
Kaiyuan Chen, Nan Tian, Christian Juette, Tianshuang Qiu, Liu Ren, John Kubiatowicz, Ken Goldberg
2025 J jnl
Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR
Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025 J jnl
InterChat: Enhancing Generative Visual Analytics using Multimodal Interactions.
Comput. Graph. Forum
Juntong Chen, Jiang Wu, Jiajing Guo, Vikram Mohanty, Xueming Li, Jorge Piazentin Ono, Wenbin He, Liu Ren, Dongyu Liu
2025 J jnl
InterChat: Enhancing Generative Visual Analytics using Multimodal Interactions.
CoRR
Juntong Chen, Jiang Wu, Jiajing Guo, Vikram Mohanty, Xueming Li, Jorge Piazentin Ono, Wenbin He, Liu Ren, Dongyu Liu
2025 J jnl
LAVQA: A Latency-Aware Visual Question Answering Framework for Shared Autonomy in Self-Driving Vehicles.
CoRR
Shuangyu Xie, Kaiyuan Chen, Wenjing Chen, Chengyuan Qian, Christian Juette, Liu Ren, Dezhen Song, Ken Goldberg
2025 A conf
LORD: Large Models Based Opposite Reward Design for Autonomous Driving.
WACV
Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren
2025 J jnl
LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving.
CoRR
Mahmut Yurt, Xin Ye, Yunsheng Ma, Jingru Luo, Abhirup Mallik, John Pauly, Burhaneddin Yaman, Liu Ren
2025 J jnl
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis.
CoRR
Qinghua Liu, Sam Heshmati, Zheda Mai, Zubin Abraham, John Paparrizos, Liu Ren
2025 J jnl
MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis.
CoRR
Hengyuan Zhang, David Paz, Yuliang Guo, Xinyu Huang, Henrik I. Christensen, Liu Ren
2025 J jnl
NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks.
CoRR
Fangzhou Lin, Yuping Wang, Yuliang Guo, Zixun Huang, Xinyu Huang, Haichong Zhang, Kazunori D. Yamada, Zhengzhong Tu, Liu Ren, Ziming Zhang
2025 J jnl
Online Language Splatting.
CoRR
Saimouli Katragadda, Cho-Ying Wu, Yuliang Guo, Xinyu Huang, Guoquan Huang, Liu Ren
2025 A* conf
Open Ad-hoc Categorization with Contextualized Feature Learning.
CVPR
Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025 J jnl
Open Ad-hoc Categorization with Contextualized Feature Learning.
CoRR
Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025 J jnl
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts.
CoRR
Xiaoqi Wang, Clint Sebastian, Wenbin He, Liu Ren
2025 J jnl
Rethinking Agentic Workflows: Evaluating Inference-Based Test-Time Scaling Strategies in Text2SQL Tasks.
CoRR
Jiajing Guo, Kenil Patel, Jorge Piazentin Ono, Wenbin He, Liu Ren
2025 A* conf
SMART: Advancing Scalable Map Priors for Driving Topology Reasoning.
ICRA
Junjie Ye, David Paz, Hengyuan Zhang, Yuliang Guo, Xinyu Huang, Henrik I. Christensen, Yue Wang, Liu Ren
2025 J jnl
SMART: Advancing Scalable Map Priors for Driving Topology Reasoning.
CoRR
Junjie Ye, David Paz, Hengyuan Zhang, Yuliang Guo, Xinyu Huang, Henrik I. Christensen, Yue Wang, Liu Ren
2025 J jnl
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis.
CoRR
Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono, Jiajing Guo, Vikram Mohanty, Arvind Kumar Shekar, Liang Gou, Bei Wang, Liu Ren
2025 J jnl
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels.
CoRR
Xiwei Xuan, Xiaoqi Wang, Wenbin He, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2025 J jnl
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels.
IEEE Trans. Vis. Comput. Graph.
Xiwei Xuan, Xiaoqi Wang, Wenbin He, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2025 J jnl
ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads.
CoRR
Yifan Li, Xin Li, Tianqin Li, Wenbin He, Yu Kong, Liu Ren
2024 J jnl
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets.
CoRR
Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren
2024 J jnl
AdaOcc: Adaptive-Resolution Occupancy Prediction.
CoRR
Chao Chen, Ruoyu Wang, Yuliang Guo, Cheng Zhao, Xinyu Huang, Chen Feng, Liu Ren
2024 J jnl
AttributionScanner: A Visual Analytics System for Metadata-Free Data-Slicing Based Model Validation.
CoRR
Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2024 A* conf
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion.
CVPR
Su Sun, Cheng Zhao, Yuliang Guo, Ruoyu Wang, Xinyu Huang, Yingjie Victor Chen, Liu Ren
2024 J jnl
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion.
CoRR
Su Sun, Cheng Zhao, Yuliang Guo, Ruoyu Wang, Xinyu Huang, Yingjie Victor Chen, Liu Ren
2024 A* conf
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow.
CVPR
Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
2024 J jnl
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow.
CoRR
Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
2024 — conf
Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study.
IUI Companion
Jiajing Guo, Vikram Mohanty, Hongtao Hao, Liang Gou, Liu Ren
2024 J jnl
Demonstration of VCR: A Tabular Data Slicing Approach to Understanding Object Detection Model Performance.
Proc. VLDB Endow.
Jie Jeff Xu, Saahir Dhanani, Jorge Henrique Piazentin Ono, Wenbin He, Liu Ren, Kexin Rong
2024 A conf
Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps.
IROS
Hengyuan Zhang, David Paz, Yuliang Guo, Arun Das, Xinyu Huang, Karsten Haug, Henrik I. Christensen, Liu Ren
2024 J jnl
Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps.
CoRR
Hengyuan Zhang, David Paz, Yuliang Guo, Arun Das, Xinyu Huang, Karsten Haug, Henrik I. Christensen, Liu Ren
2024 A conf
FogROS2-FT: Fault Tolerant Cloud Robotics.
IROS
Kaiyuan Chen, Kush Hari, Trinity Chung, Michael Wang, Nan Tian, Christian Juette, Jeffrey Ichnowski, Liu Ren, John Kubiatowicz, Ion Stoica, Ken Goldberg
2024 J jnl
FogROS2-FT: Fault Tolerant Cloud Robotics.
CoRR
Kaiyuan Chen, Kush Hari, Trinity Chung, Michael Wang, Nan Tian, Christian Juette, Jeffrey Ichnowski, Liu Ren, John Kubiatowicz, Ion Stoica, Ken Goldberg
2024 A* conf
FogROS2-LS: A Location-Independent Fog Robotics Framework for Latency Sensitive ROS2 Applications.
ICRA
Kaiyuan Chen, Michael Wang, Marcus Gualtieri, Nan Tian, Christian Juette, Liu Ren, Jeffrey Ichnowski, John Kubiatowicz, Ken Goldberg
2024 J jnl
FogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics.
CoRR
Kaiyuan Chen, Nan Tian, Christian Juette, Tianshuang Qiu, Liu Ren, John Kubiatowicz, Ken Goldberg
2024 A* conf
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection.
AAAI
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2024 J jnl
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation.
CoRR
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
2024 — conf
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis.
CHI Extended Abstracts
Jiajing Guo, Vikram Mohanty, Jorge Henrique Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren
2024 J jnl
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis.
CoRR
Jiajing Guo, Vikram Mohanty, Jorge Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren
2024 J jnl
LORD: Large Models based Opposite Reward Design for Autonomous Driving.
CoRR
Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren
2024 A* conf
Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS2.
ICRA
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
2024 J jnl
Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS2.
CoRR
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
2024 J jnl
MTA: Multimodal Task Alignment for BEV Perception and Captioning.
CoRR
Yunsheng Ma, Burhaneddin Yaman, Xin Ye, Feng Tao, Abhirup Mallik, Ziran Wang, Liu Ren
2024 — conf
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks.
ECCV (78)
Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren
2024 J jnl
OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples.
IEEE Trans. Vis. Comput. Graph.
Suphanut Jamonnak, Jiajing Guo, Wenbin He, Liang Gou, Liu Ren
2024 — conf
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction.
ECCV (69)
Yuliang Guo, Abhinav Kumar, Cheng Zhao, Ruoyu Wang, Xinyu Huang, Liu Ren
2024 A* conf
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects.
CVPR
Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu
2024 J jnl
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects.
CoRR
Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu
2024 A conf
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer.
IUI
Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren
2024 — conf
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving: Supplementary Materials.
ECCV (63)
Cheng Zhao, Su Sun, Ruoyu Wang, Yuliang Guo, Jun-Jun Wan, Zhou Huang, Xinyu Huang, Yingjie Victor Chen, Liu Ren
2024 J jnl
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Surrounding Autonomous Driving Scenes.
CoRR
Cheng Zhao, Su Sun, Ruoyu Wang, Yuliang Guo, Jun-Jun Wan, Zhou Huang, Xinyu Huang, Yingjie Victor Chen, Liu Ren
2024 J jnl
UPNeRF: A Unified Framework for Monocular 3D Object Reconstruction and Pose Estimation.
CoRR
Yuliang Guo, Abhinav Kumar, Cheng Zhao, Ruoyu Wang, Xinyu Huang, Liu Ren
2024 A* conf
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation.
CVPR
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2024 J jnl
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation.
CoRR
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2024 A* conf
VLP: Vision Language Planning for Autonomous Driving.
CVPR
Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren
2024 J jnl
VLP: Vision Language Planning for Autonomous Driving.
CoRR
Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren
2023 A* conf
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection.
NeurIPS
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
2023 J jnl
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection.
CoRR
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
2023 J jnl
CLIP-S
CoRR
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
2023 A* conf
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation.
CVPR
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
2023 B conf
Camera Self-Calibration Using Human Faces.
FG
Masa Hu, Garrick Brazil, Nanxiang Li, Liu Ren, Xiaoming Liu
2023 — conf
CoAug: Combining Augmentation of Labels and Labelling Rules.
ACL (Findings)
Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren
2023 — conf
EyeClick: A Robust Two-Step Eye-Hand Interaction for Text Entry in Augmented Reality Glasses.
UIST (Adjunct Volume)
Jiajing Guo, Andrew Benton, Nan Tian, William Ma, Nicholas Feffer, Zhengyu Zhou, Liu Ren
2023 A* conf
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients.
NeurIPS
Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients.
CoRR
Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection.
CoRR
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2023 A conf
Long-Distance Gesture Recognition Using Dynamic Neural Networks.
IROS
Shubhang Bhatnagar, Sharath Gopal, Narendra Ahuja, Liu Ren
2023 J jnl
Long-Distance Gesture Recognition using Dynamic Neural Networks.
CoRR
Shubhang Bhatnagar, Sharath Gopal, Narendra Ahuja, Liu Ren
2023 J jnl
SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation.
IEEE Trans. Vis. Comput. Graph.
Xiaoyu Zhang, Jorge Piazentin Ono, Huan Song, Liang Gou, Kwan-Liu Ma, Liu Ren
2023 A* conf
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.
NeurIPS
Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.
CoRR
Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale.
IEEE Trans. Vis. Comput. Graph.
Md. Naimul Hoque, Wenbin He, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 A conf
Blind Removal of Facial Foreign Shadows.
BMVC
Yaojie Liu, Andrew Z. Hou, Xinyu Huang, Liu Ren, Xiaoming Liu
2022 J jnl
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models.
IEEE Trans. Vis. Comput. Graph.
Zhenge Zhao, Panpan Xu, Carlos Scheidegger, Liu Ren
2022 J jnl
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning.
CoRR
Huan Song, Zeng Dai, Panpan Xu, Liu Ren
2022 J jnl
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning.
IEEE Trans. Vis. Comput. Graph.
Huan Song, Zeng Dai, Panpan Xu, Liu Ren
2022 J jnl
Novelty-based Generalization Evaluation for Traffic Light Detection.
CoRR
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
2022 A* conf
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion.
CVPR
Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren
2022 J jnl
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion.
CoRR
Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren
2022 J jnl
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation.
CoRR
Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren
2022 A* conf
Self-supervised Semantic Segmentation Grounded in Visual Concepts.
IJCAI
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 J jnl
Self-supervised Semantic Segmentation Grounded in Visual Concepts.
CoRR
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 A* conf
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation.
CVPR
Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang
2022 J jnl
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation.
CoRR
Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang
2022 J jnl
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects.
IEEE Trans. Vis. Comput. Graph.
Wenbin He, Lincan Zou, Arvind Kumar Shekar, Liang Gou, Liu Ren
2021 J jnl
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models.
CoRR
Zhenge Zhao, Panpan Xu, Carlos Scheidegger, Liu Ren
2021 J jnl
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications.
Int. J. Comput. Vis.
Arvind Kumar Shekar, Liang Gou, Liu Ren, Axel Wendt
2021 C conf
Novelty-based Generalization Evaluation for Traffic Light Detection.
ICMLA
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
2021 — conf
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation.
3DV
Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren
2021 Misc conf
Unsupervised Discriminative Learning of Sounds for Audio Event Classification.
ICASSP
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
2021 J jnl
Unsupervised Discriminative Learning of Sounds for Audio Event Classification.
CoRR
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
2021 J jnl
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
IEEE Trans. Vis. Comput. Graph.
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2020 J jnl
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data.
IEEE Trans. Vis. Comput. Graph.
Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma
2020 A* conf
Analytic Combined IMU Integration (ACI
ICRA
Yulin Yang, Benzun Pious Wisely Babu, Chuchu Chen, Guoquan Huang, Liu Ren
2020 — conf
Color-wise Attention Network for Low-light Image Enhancement.
CVPR Workshops
Yousef Atoum, Mao Ye, Liu Ren, Ying Tai, Xiaoming Liu
2020 J jnl
Improve Unsupervised Domain Adaptation with Mixup Training.
CoRR
Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Liu Ren
2020 — conf
Interpreting Deep Neural Networks through Prototype Factorization.
ICDM (Workshops)
Subhajit Das, Panpan Xu, Zeng Dai, Alex Endert, Liu Ren
2020 J jnl
ProtoSteer: Steering Deep Sequence Model with Prototypes.
IEEE Trans. Vis. Comput. Graph.
Yao Ming, Panpan Xu, Furui Cheng, Huamin Qu, Liu Ren
2020 — conf
ProtoViewer: Visual Interpretation and Diagnostics of Deep Neural Networks with Factorized Prototypes.
IEEE VIS (Short Papers)
Junhan Zhao, Zeng Dai, Panpan Xu, Liu Ren
2020 C conf
Semantic Consistency: The Key to Improve Traffic Light Detection with Data Augmentation.
IV
Eman T. Hassan, Nanxiang Li, Liu Ren
2020 J jnl
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
CoRR
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2020 J jnl
Visualizing Classification Structure of Large-Scale Classifiers.
CoRR
Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren
2019 J jnl
A survey of visualization for smart manufacturing.
J. Vis.
Fangfang Zhou, Xiaoru Lin, Chang Liu, Ying Zhao, Panpan Xu, Liu Ren, Tingmin Xue, Lei Ren
2019 J jnl
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data.
CoRR
Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma
2019 J jnl
Controlling the Amount of Verbatim Copying in Abstractive Summarization.
CoRR
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
2019 A* conf
Interpretable and Steerable Sequence Learning via Prototypes.
KDD
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren
2019 J jnl
Interpretable and Steerable Sequence Learning via Prototypes.
CoRR
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren
2019 J jnl
TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis.
IEEE Trans. Vis. Comput. Graph.
Dongyu Liu, Panpan Xu, Liu Ren
2019 J jnl
ViBr: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle.
IEEE Trans. Vis. Comput. Graph.
Gromit Yeuk-Yin Chan, Panpan Xu, Zeng Dai, Liu Ren
2018 J jnl
Do Convolutional Neural Networks Learn Class Hierarchy?
IEEE Trans. Vis. Comput. Graph.
Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
2018 A* conf
On Exploiting Per-Pixel Motion Conflicts to Extract Secondary Motions.
ISMAR
Benzun Pious Wisely Babu, Zhixin Yan, Mao Ye, Liu Ren
2018 J jnl
Sequence Synopsis: Optimize Visual Summary of Temporal Event Data.
IEEE Trans. Vis. Comput. Graph.
Yuanzhe Chen, Panpan Xu, Liu Ren
2017 J jnl
Dense Visual SLAM with Probabilistic Surfel Map.
IEEE Trans. Vis. Comput. Graph.
Zhixin Yan, Mao Ye, Liu Ren
2017 J jnl
Do Convolutional Neural Networks Learn Class Hierarchy?
CoRR
Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
2017 A* conf
Panel: Cross-media Intelligence.
ACM Multimedia
Yueting Zhuang, Ramesh C. Jain, Wen Gao, Liu Ren, Kiyoharu Aizawa
2017 A* conf
Pose-Invariant Face Alignment with a Single CNN.
ICCV
Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
2017 J jnl
Pose-Invariant Face Alignment with a Single CNN.
CoRR
Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
2017 J jnl
PowerSet: A Comprehensive Visualization of Set Intersections.
IEEE Trans. Vis. Comput. Graph.
Bilal Alsallakh, Liu Ren
2017 J jnl
ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories.
IEEE Trans. Vis. Comput. Graph.
Panpan Xu, Honghui Mei, Liu Ren, Wei Chen
2016 A* conf
Edge Snapping-Based Depth Enhancement for Dynamic Occlusion Handling in Augmented Reality.
ISMAR
Chao Du, Yen-Lin Chen, Mao Ye, Liu Ren
2016 A* conf
σ-DVO: Sensor Noise Model Meets Dense Visual Odometry.
ISMAR
Benzun P. Wisely Babu, Soohwan Kim, Zhixin Yan, Liu Ren
2015 — conf
Procedural window lighting effects for real-time city rendering.
I3D
Jennifer Chandler, Lei Yang, Liu Ren
2011 A* conf
Accurate 3D pose estimation from a single depth image.
ICCV
Mao Ye, Xianwang Wang, Ruigang Yang, Liu Ren, Marc Pollefeys
2009 A* conf
Image deblurring for less intrusive iris capture.
CVPR
Xinyu Huang, Liu Ren, Ruigang Yang
2005 J jnl
A data-driven approach to quantifying natural human motion.
ACM Trans. Graph.
Liu Ren, Alton Patrick, Alexei A. Efros, Jessica K. Hodgins, James M. Rehg
2005 J jnl
Learning silhouette features for control of human motion.
ACM Trans. Graph.
Liu Ren, Gregory Shakhnarovich, Jessica K. Hodgins, Hanspeter Pfister, Paul A. Viola
2004 A conf
Hardware-Accelerated Adaptive EWA Volume Splatting.
IEEE Visualization
Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfister
2004 — conf
Learning silhouette features for control of human motion.
SIGGRAPH Sketches
Liu Ren, Gregory Shakhnarovich, Jessica K. Hodgins, Hanspeter Pfister, Paul A. Viola
2002 J jnl
Object Space EWA Surface Splatting: A Hardware Accelerated Approach to High Quality Point Rendering.
Comput. Graph. Forum
Liu Ren, Hanspeter Pfister, Matthias Zwicker