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ORCIDPheng-Ann Heng
PhengAnn Heng
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- affiliation: Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2024
[j252]Cheng Chen
, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024)- [j251]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation. Medical Image Anal. 98: 103324 (2024) - [j250]Rui Cao, Biqi Yang, Yichuan Li, Chi-Wing Fu, Pheng-Ann Heng, Yun-Hui Liu:
Uncertainty-Aware Suction Grasping for Cluttered Scenes. IEEE Robotics Autom. Lett. 9(6): 4934-4941 (2024) - [j249]Jia-Hui Pan, Xiaojie Gao, Ka-Hei Hui, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing. IEEE Robotics Autom. Lett. 9(6): 5086-5093 (2024) - [j248]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G²Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. IEEE Trans. Inf. Forensics Secur. 19: 8773-8785 (2024) - [j247]Caizi Li, Yaoqian Li, Ruiqiang Liu, Guangsuo Wang, Jianping Lv, Yueming Jin, Weixin Si, Pheng-Ann Heng:
Structural and Pixel Relation Modeling for Semisupervised Instrument Segmentation From Surgical Videos. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j246]Jialun Pei, Tao Jiang, He Tang, Nian Liu, Yueming Jin, Deng-Ping Fan, Pheng-Ann Heng:
CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation. IEEE Trans. Image Process. 33: 4348-4362 (2024) - [j245]Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [j244]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43(5): 1972-1982 (2024) - [j243]Kang Li, Yu Zhu, Lequan Yu, Pheng-Ann Heng:
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation. IEEE Trans. Medical Imaging 43(6): 2279-2290 (2024) - [j242]Yuhan Zhang, Xiao Ma, Kun Huang, Mingchao Li, Pheng-Ann Heng:
Semantic-Oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images. IEEE Trans. Medical Imaging 43(8): 2960-2969 (2024) - [j241]Yang Tian, Hualong Bai, Shengdong Zhao, Chi-Wing Fu, Chun Yu, Haozhao Qin, Qiong Wang, Pheng-Ann Heng:
Kine-Appendage: Enhancing Freehand VR Interaction Through Transformations of Virtual Appendages. IEEE Trans. Vis. Comput. Graph. 30(7): 3298-3313 (2024) - [c272]Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. AAAI 2024: 5686-5694 - [c271]Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu:
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. AAAI 2024: 5704-5712 - [c270]Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. AAAI 2024: 7802-7810 - [c269]Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI 2024: 15456-15465 - [c268]Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI 2024: 16587-16595 - [c267]Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML 2024 - [c266]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. ICRA 2024: 10772-10778 - [c265]Calvin Chan, Qingqing Zheng, Chengjian Xu, Qiong Wang, Pheng-Ann Heng:
Adaptive Federated Learning for EEG Emotion Recognition. IJCNN 2024: 1-8 - [c264]Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam:
Unveiling the Generalization Power of Fine-Tuned Large Language Models. NAACL-HLT 2024: 884-899 - [c263]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV 2024: 2255-2265 - [c262]Runsong Zhu, Di Kang, Ka-Hei Hui, Yue Qian, Shi Qiu, Zhen Dong, Linchao Bao, Pheng-Ann Heng, Chi-Wing Fu:
SSP: Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds. WACV 2024: 3757-3766 - [i185]Dunyuan Xu, Xi Wang, Jinyue Cai, Pheng-Ann Heng:
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading. CoRR abs/2401.09029 (2024) - [i184]Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. CoRR abs/2401.11674 (2024) - [i183]Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. CoRR abs/2401.11847 (2024) - [i182]Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu:
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. CoRR abs/2402.01389 (2024) - [i181]Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, Pheng-Ann Heng:
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. CoRR abs/2402.02429 (2024) - [i180]Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen:
An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR abs/2402.12993 (2024) - [i179]Xikai Yang, Jian Wu, Xi Wang, Yuchen Yuan, Ningli Wang, Pheng-Ann Heng:
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images. CoRR abs/2402.13475 (2024) - [i178]Jialun Pei, Diandian Guo, Jingyang Zhang, Manxi Lin, Yueming Jin, Pheng-Ann Heng:
S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR. CoRR abs/2402.14461 (2024) - [i177]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. CoRR abs/2402.16664 (2024) - [i176]Shoujin Huang, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu:
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. CoRR abs/2403.05245 (2024) - [i175]Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam:
Unveiling the Generalization Power of Fine-Tuned Large Language Models. CoRR abs/2403.09162 (2024) - [i174]Diandian Guo, Manxi Lin, Jialun Pei, He Tang, Yueming Jin, Pheng-Ann Heng:
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms. CoRR abs/2404.09231 (2024) - [i173]Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li:
Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning. CoRR abs/2405.12001 (2024) - [i172]Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
TripletMix: Triplet Data Augmentation for 3D Understanding. CoRR abs/2405.18523 (2024) - [i171]Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng:
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR abs/2405.18849 (2024) - [i170]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration. CoRR abs/2406.14534 (2024) - [i169]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. CoRR abs/2406.17858 (2024) - [i168]Dunyuan Xu, Xi Wang, Jingyang Zhang, Pheng-Ann Heng:
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation. CoRR abs/2406.18037 (2024) - [i167]Wei Li, Jingyang Zhang, Pheng-Ann Heng, Lixu Gu:
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. CoRR abs/2406.19796 (2024) - [i166]Haiqiao Wang, Hong Wu, Zhuoyuan Wang, Peiyan Yue, Dong Ni, Pheng-Ann Heng, Yi Wang:
A Review of Image Processing Methods in Prostate Ultrasound. CoRR abs/2407.00678 (2024) - [i165]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR abs/2407.05412 (2024) - [i164]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR abs/2407.05416 (2024) - [i163]Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou:
Weakly-supervised Medical Image Segmentation with Gaze Annotations. CoRR abs/2407.07406 (2024) - [i162]Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He, Nanning Zheng, Jian Zhang, Pheng-Ann Heng:
Improving AlphaFlow for Efficient Protein Ensembles Generation. CoRR abs/2407.12053 (2024) - [i161]Kaixiang Yang, Wenqi Shan, Xudong Li, Xuan Wang, Xikai Yang, Xi Wang, Pheng-Ann Heng, Qiang Li, Zhiwei Wang:
Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. CoRR abs/2408.08708 (2024) - [i160]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. CoRR abs/2408.09458 (2024) - [i159]Diandian Guo, Weixin Si, Zhixi Li, Jialun Pei, Pheng-Ann Heng:
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver. CoRR abs/2408.10538 (2024) - [i158]Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Chengzhuo Tong, Peng Gao, Chunyuan Li, Pheng-Ann Heng:
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners. CoRR abs/2408.16768 (2024) - [i157]Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng:
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models. CoRR abs/2409.02101 (2024) - [i156]Xiaowei Hu, Zhenghao Xing, Tianyu Wang, Chi-Wing Fu, Pheng-Ann Heng:
Unveiling Deep Shadows: A Survey on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning. CoRR abs/2409.02108 (2024) - 2023
- [j240]Mian Wu, Yinling Qian, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention. BMC Medical Imaging 23(1): 91 (2023) - [j239]Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng:
MetaRF: attention-based random forest for reaction yield prediction with a few trails. J. Cheminformatics 15(1): 43 (2023) - [j238]Caizi Li, Ruiqiang Liu, Huan-Xin Zhong, Jun-Ming Fan, Wei-Xin Si, Meng Zhang, Pheng-Ann Heng:
Semi-Supervised Intracranial Aneurysm Segmentation from CTA Images via Weight-Perceptual Self-Ensembling Model. J. Comput. Sci. Technol. 38(3): 674-685 (2023) - [j237]Xi Wang, Fangyao Tang, Hao Chen, Carol Y. Cheung, Pheng-Ann Heng:
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images. Medical Image Anal. 83: 102673 (2023) - [j236]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j235]Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - [j234]Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Medical Image Anal. 86: 102772 (2023) - [j233]Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection With a Single-Stage Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3259-3273 (2023) - [j232]Shan Xu, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Yangyang Xu, Liangui Dai, Kup-Sze Choi, Pheng-Ann Heng:
Representative Feature Alignment for Adaptive Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(2): 689-700 (2023) - [j231]Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng:
Deep Texture-Aware Features for Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1157-1167 (2023) - [j230]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53(10): 6363-6375 (2023) - [j229]Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32: 235-250 (2023) - [j228]Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening. IEEE Trans. Medical Imaging 42(3): 570-581 (2023) - [c261]Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR 2023: 3312-3322 - [c260]Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong:
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR 2023: 3499-3509 - [c259]Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang:
On the Pitfall of Mixup for Uncertainty Calibration. CVPR 2023: 7609-7618 - [c258]Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng:
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CVPR 2023: 18053-18062 - [c257]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328 - [c256]Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng:
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV 2023: 21369-21380 - [c255]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML 2023: 7596-7616 - [c254]Biqi Yang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng:
On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios. ICRA 2023: 9310-9316 - [c253]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. IJCAI 2023: 791-799 - [c252]Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization. IROS 2023: 10612-10619 - [c251]Yuhan Zhang, Ziqi Tang, Dawei Yang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng:
LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes. ISBI 2023: 1-5 - [c250]Yuhan Zhang, Kun Huang, Cheng Chen, Qiang Chen, Pheng-Ann Heng:
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. MICCAI (2) 2023: 148-158 - [c249]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) 2023: 306-316 - [c248]Yuchen Yuan, Xi Wang, Xikai Yang, Ruijiang Li, Pheng-Ann Heng:
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. MICCAI (4) 2023: 459-469 - [c247]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) 2023: 579-589 - [c246]Jialun Pei, Zhangjun Zhou, Yueming Jin, He Tang, Pheng-Ann Heng:
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation. ACM Multimedia 2023: 2139-2147 - [c245]Weiliang Tang, Biqi Yang, Xianzhi Li, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
Prototypical Variational Autoencoder for 3D Few-shot Object Detection. NeurIPS 2023 - [c244]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [i155]Ziyu Guo, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. CoRR abs/2302.14007 (2023) - [i154]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR abs/2303.02045 (2023) - [i153]Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR abs/2303.02875 (2023) - [i152]Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. CoRR abs/2303.06678 (2023) - [i151]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023) - [i150]Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng:
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CoRR abs/2303.09757 (2023) - [i149]Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR abs/2303.12091 (2023) - [i148]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR abs/2303.12736 (2023) - [i147]Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR abs/2305.19063 (2023) - [i146]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR abs/2306.13301 (2023) - [i145]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation. CoRR abs/2306.13465 (2023) - [i144]Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization. CoRR abs/2307.07356 (2023) - [i143]Jialun Pei, Tao Jiang, He Tang, Nian Liu, Yueming Jin, Deng-Ping Fan, Pheng-Ann Heng:
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation. CoRR abs/2307.08098 (2023) - [i142]Jialun Pei, Zhangjun Zhou, Yueming Jin, He Tang, Pheng-Ann Heng:
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation. CoRR abs/2307.14052 (2023) - [i141]Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen:
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR abs/2308.12017 (2023) - [i140]Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Yiwen Tang, Xianzheng Ma, Jiaming Han, Kexin Chen, Peng Gao, Xianzhi Li, Hongsheng Li, Pheng-Ann Heng:
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following. CoRR abs/2309.00615 (2023) - [i139]Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR abs/2309.08842 (2023) - [i138]Biqi Yang, Weiliang Tang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng:
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store. CoRR abs/2311.04645 (2023) - [i137]