Are Overconfident CEOs Born or Made? Evidence of Self-Attribution Bias from Frequent Acquirers. - Matthew T. Billett; Yiming Qian (Manag. Sci., 2008)

Interactive user oriented visual attention based video summarization and exploration framework. - Yiming Qian; Matthew J. Kyan (CCECE, 2014)

High Definition Visual Attention based Video Summarization. - Yiming Qian; Matthew J. Kyan (VISAPP (1), 2014)

STOCS: An Efficient Self-Tuning Multiclass Classification Approach. - Yiming Qian; Minglun Gong; Li Cheng 001 (Canadian AI, 2015)

Budget-Driven Big Data Classification. - Yiming Qian; Hao Yuan; Minglun Gong (Canadian AI, 2015)

Frequency-Based Environment Matting by Compressive Sensing. - Yiming Qian; Minglun Gong; Yee-Hong Yang (ICCV, 2015)

Distilled Collections from Textual Image Queries. - Hadar Averbuch-Elor; Yunhai Wang; Yiming Qian; Minglun Gong; Johannes Kopf 001; Hao Zhang 002; Daniel Cohen-Or (Comput. Graph. Forum, 2015)

Integrated Foreground Segmentation and Boundary Matting for Live Videos. - Minglun Gong; Yiming Qian; Li Cheng 001 (IEEE Trans. Image Process., 2015)

3D Reconstruction of Transparent Objects with Position-Normal Consistency. - Yiming Qian; Minglun Gong; Yee-Hong Yang (CVPR, 2016)

Road Segmentation for Classification of Road Weather Conditions. - Emilio J. Almazan; Yiming Qian; James H. Elder (ECCV Workshops (1), 2016)

Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search. - Yunhai Wang; Yiming Qian; Yang Li; Minglun Gong; Wolfgang Banzhaf (GECCO, 2016)

Evaluating features and classifiers for road weather condition analysis. - Yiming Qian; Emilio J. Almazan; James H. Elder (ICIP, 2016)

MCMLSD: A Dynamic Programming Approach to Line Segment Detection. - Emilio J. Almazan; Ron Tal; Yiming Qian; James H. Elder (CVPR, 2017)

Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization. - Yiming Qian; Minglun Gong; Yee-Hong Yang (CVPR, 2017)

Fusing Geometry and Appearance for Road Segmentation. - Gong Cheng 007; Yiming Qian; James H. Elder (ICCV Workshops, 2017)

Transmit-sense-receive-based cognitive antijamming for airborne ad hoc networks. - Haitao Li 003; Yiming Qian; Changjun Liu (Int. J. Commun. Syst., 2017)

Unsupervised hierarchical image segmentation through fuzzy entropy maximization. - Shibai Yin; Yiming Qian; Minglun Gong (Pattern Recognit., 2017)

LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments. - Yiming Qian; Srikumar Ramalingam; James H. Elder (ACCV (4), 2018)

A Delay based Plug-in-Monitor for Intrusion Detection in Controller Area Network. - Qian Wang 022; Yiming Qian; Zhaojun Lu; Yasser Shoukry; Gang Qu 001 (AsianHOST, 2018)

Simultaneous 3D Reconstruction for Water Surface and Underwater Scene. - Yiming Qian; Yinqiang Zheng; Minglun Gong; Yee-Hong Yang (ECCV (3), 2018)

Local and Global Active Contour Model for Image Segmentation With Intensity Inhomogeneity. - Qing Cai; Huiying Liu; Yiming Qian; Jing Li; Xiaojun Duan; Yee-Hong Yang (IEEE Access, 2018)

Full 3D reconstruction of transparent objects. - Bojian Wu; Yang Zhou 007; Yiming Qian; Minglun Gong; Hui Huang 004 (ACM Trans. Graph., 2018)

The Information Advantage of Underwriters in IPOs. - Yao-Min Chiang; Michelle Lowry; Yiming Qian (Manag. Sci., 2019)

Saliency-guided level set model for automatic object segmentation. - Qing Cai; Huiying Liu; Yiming Qian; Sanping Zhou; Xiaojun Duan; Yee-Hong Yang (Pattern Recognit., 2019)

Geometry-Guided Adaptation for Road Segmentation. - Gong Cheng 007; Yue Wang 038; Yiming Qian; James H. Elder (CRV, 2020)

Learning Pairwise Inter-plane Relations for Piecewise Planar Reconstruction. - Yiming Qian; Yasutaka Furukawa (ECCV (7), 2020)

3D Human Shape Reconstruction from a Polarization Image. - Shihao Zou; Xinxin Zuo; Yiming Qian; Sen Wang 003; Chi Xu 002; Minglun Gong; Li Cheng 001 (ECCV (14), 2020)

Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning. - Yiming Qian; Fangzhou Xiong; Zhiyong Liu 001 (ICONIP (5), 2020)

MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection. - James H. Elder; Emilio J. Almazan; Yiming Qian; Ron Tal (CoRR, 2020)

Polarization Human Shape and Pose Dataset. - Shihao Zou; Xinxin Zuo; Yiming Qian; Sen Wang 003; Chi Xu 002; Minglun Gong; Li Cheng 001 (CoRR, 2020)

Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses. - Yiming Qian; Hao Zhang 002; Yasutaka Furukawa (CVPR, 2021)

Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments. - Sachini Herath; Saghar Irandoust; Bowen Chen; Yiming Qian; Pyojin Kim; Yasutaka Furukawa (ICRA, 2021)

Built Year Prediction from Buddha Face with Heterogeneous Labels. - Yiming Qian; Cheikh Brahim El Vaigh; Yuta Nakashima; Benjamin Renoust; Hajime Nagahara; Yutaka Fujioka (SUMAC @ ACM Multimedia, 2021)

Human Pose and Shape Estimation from Single Polarization Images. - Shihao Zou; Xinxin Zuo; Sen Wang 003; Yiming Qian; Chuan Guo 002; Wei Ji 011; Jingjing Li; Minglun Gong; Li Cheng 001 (CoRR, 2021)

Zero-shot policy generation in lifelong reinforcement learning. - Yiming Qian; Fangzhou Xiong; Zhi-Yong Liu 001 (Neurocomputing, 2021)

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction. - Jiacheng Chen; Yiming Qian; Yasutaka Furukawa (CVPR, 2022)

A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation. - Yiming Qian; James H. Elder (ECCV (1), 2022)

Single User WiFi Structure from Motion in the Wild. - Yiming Qian; Hang Yan 002; Sachini Herath; Pyojin Kim; Yasutaka Furukawa (ICRA, 2022)

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution. - Qing Cai; Yiming Qian; Jinxing Li; Jun Lv; Yee-Hong Yang; Feng Wu 001; David Zhang 001 (CoRR, 2022)

Structured Light with Redundancy Codes. - Zhanghao Sun; Yu Zhang; Yicheng Wu; Dong Huo; Yiming Qian; Jian Wang 111 (CoRR, 2022)

A Novel Hybrid Level Set Model for Non-Rigid Object Contour Tracking. - Qing Cai; Huiying Liu; Yiming Qian; Sanping Zhou; Jinjun Wang; Yee-Hong Yang (IEEE Trans. Image Process., 2022)

AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise. - Qing Cai; Yiming Qian; Sanping Zhou; Jinxing Li; Yee-Hong Yang; Feng Wu 001; David Zhang 001 (IEEE Trans. Image Process., 2022)

What does the Occluding Contour Tell us about Quantitative Shape? - Yiming Qian; James H. Elder (CRV, 2023)

MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension. - Guoxin Chen; Yiming Qian; Bowen Wang; Liangzhi Li 004 (EMNLP (Findings), 2023)

TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction. - Junyi Liu; Liangzhi Li 004; Tong Xiang; Bowen Wang; Yiming Qian (EMNLP (Findings), 2023)

Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning. - Ahmed Hatem; Yiming Qian; Yang Wang 003 (ICCV, 2023)

HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. - Fenggen Yu; Yiming Qian; Francisca Gil-Ureta; Brian Jackson; Eric P. Bennett; Hao Zhang 002 (ICCV, 2023)

Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning. - Ahmed Hatem; Yiming Qian; Yang Wang 003 (IROS, 2023)

Category-Independent Visual Explanation for Medical Deep Network Understanding. - Yiming Qian; Liangzhi Li 004; Huazhu Fu; Meng Wang 001; Qingsheng Peng; Yih Chung Tham; Ching Yu Cheng; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (MICCAI (2), 2023)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. - Meng Wang 001; Lianyu Wang; Xinxing Xu; Ke Zou; Yiming Qian; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (MICCAI (2), 2023)

Unsupervised Deep Cross-Language Entity Alignment. - Chuanyu Jiang; Yiming Qian; Lijun Chen; Yang Gu; Xia Xie (ECML/PKDD (4), 2023)

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 001; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

Inference Time Evidences of Adversarial Attacks for Forensic on Transformers. - Hugo Lemarchant; Liangzi Li; Yiming Qian; Yuta Nakashima; Hajime Nagahara (CoRR, 2023)

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. - Meng Wang 038; Tian Lin; Lianyu Wang; Aidi Lin; Ke Zou; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Qingquan Meng; Yiming Qian; Guoyao Deng; Zhiqun Wu; et al. (CoRR, 2023)

RoSI: Recovering 3D Shape Interiors from Few Articulation Images. - Akshay Gadi Patil; Yiming Qian; Shan Yang; Brian Jackson; Eric P. Bennett; Hao Zhang 002 (CoRR, 2023)

IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning. - Feiyu Zhang; Liangzhi Li 004; Junhao Chen; Zhouqiang Jiang; Bowen Wang; Yiming Qian (CoRR, 2023)

Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning. - Ahmed Hatem; Yiming Qian; Yang Wang (CoRR, 2023)

Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning. - Ahmed Hatem; Yiming Qian; Yang Wang (CoRR, 2023)

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution. - Qing Cai; Yiming Qian; Jinxing Li; Jun Lyu; Yee-Hong Yang; Feng Wu 001; David Zhang 001 (IEEE Trans. Image Process., 2023)

Glass Segmentation With RGB-Thermal Image Pairs. - Dong Huo; Jian Wang 111; Yiming Qian; Yee-Hong Yang (IEEE Trans. Image Process., 2023)

Human Pose and Shape Estimation From Single Polarization Images. - Shihao Zou; Xinxin Zuo; Sen Wang 003; Yiming Qian; Chuan Guo 002; Li Cheng 001 (IEEE Trans. Multim., 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

Policy generation network for zero-shot policy learning. - Yiming Qian; Fengyi Zhang; Zhiyong Liu (Comput. Intell., 2023)

SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning. - Guoxin Chen; Kexin Tang; Chao Yang 026; Fuying Ye; Yu Qiao 001; Yiming Qian (ACL (1), 2024)

MHGRL: An Effective Representation Learning Model for Electronic Health Records. - Feiyan Liu; Liangzhi Li 004; Xiaoli Wang 002; Feng Luo; Chang Liu; Jinsong Su; Yiming Qian (LREC/COLING, 2024)

Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing. - Zhenyu Qian; Yiming Qian; Yuting Song; Fei Gao; Hai Jin 001; Chen Yu 003; Xia Xie (LREC/COLING, 2024)

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly. - Fenggen Yu; Yiming Qian; Xu Zhang; Francisca Gil-Ureta; Brian Jackson; Eric P. Bennett; Hao Zhang 002 (ECCV (80), 2024)

CLIP-Based Point Cloud Classification via Point Cloud to Image Translation. - Shuvozit Ghose; Manyi Li; Yiming Qian; Yang Wang (ICPR (17), 2024)

DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models. - Bowen Wang 002; Jiuyang Chang; Yiming Qian; Guoxin Chen; Junhao Chen; Zhouqiang Jiang; Jiahao Zhang; Yuta Nakashima; Hajime Nagahara (NeurIPS, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

Learning to Recover Spectral Reflectance From RGB Images. - Dong Huo; Jian Wang 111; Yiming Qian; Yee-Hong Yang (IEEE Trans. Image Process., 2024)

What Matters When Building Vision Language Models for Product Image Analysis? - Ameni Trabelsi; Maria Zontak; Yiming Qian; Brian Jackson; Suleiman Ali Khan; Umit Batur (WACV (Workshops), 2025)

Reliable Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 038; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (IEEE Trans. Big Data, 2025)