Pheng-Ann Heng
77 papers · 2016–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(108)
π§¬
Topic Evolution
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Dynamic Duo
(22)
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Grand Slam
π₯
Unstoppable
(10)
ποΈ
Keyword Collector
(282)
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Century Club
(75)
β‘
Prolific Year
(6)
π
Conference Pioneer
Conferences
CVPR (19)
MICCAI (13)
ICCV (11)
AAAI (10)
ECCV (6)
IJCAI (5)
NIPS (5)
ICML (2)
WACV (2)
ACL (1)
EMNLP (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
convolutional neural network
(6)
medical image segmentation
(5)
point cloud
(5)
surface reconstruction
(4)
image segmentation
(4)
semantic segmentation
(4)
multi-task learning
(3)
large language model
(3)
generative adversarial network
(3)
contrastive learning
(3)
3d reconstruction
(3)
shadow detection
(3)
instance segmentation
(3)
adversarial learning
(3)
image restoration
(3)
attention mechanism
(2)
knowledge distillation
(2)
self-supervised learning
(2)
object detection
(2)
medical imaging
(2)
Papers
IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation
AAAI 2026
SurgPub-Video: A Comprehensive Surgical Video Framework for Enhanced Surgical Intelligence in Vision-Language Model
AAAI 2026
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting
CVPR 2025
Fast Image Super-Resolution via Consistency Rectified Flow
ICCV 2025
Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
MICCAI 2025
Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
MICCAI 2025
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver
AAAI 2025
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
AAAI 2025
SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems
ACL 2025
Medical Large Vision Language Models with Multi-Image Visual Ability
MICCAI 2025
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
MICCAI 2025
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
IJCAI 2025
UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
CVPR 2025
EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights
CVPR 2025
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NIPS 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
NIPS 2024
Weakly-supervised Medical Image Segmentation with Gaze Annotations
MICCAI 2024
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
MICCAI 2024
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
MICCAI 2024
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
MICCAI 2024
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
MICCAI 2024
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
MICCAI 2024
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
ECCV 2024
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
ECCV 2024
SSP: Semi-Signed Prioritized Neural Fitting for Surface Reconstruction From Unoriented Point Clouds
WACV 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes
WACV 2024
Unveiling the Generalization Power of Fine-Tuned Large Language Models
NAACL 2024
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
MICCAI 2024
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
MICCAI 2024
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images
MICCAI 2024
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
ICML 2024
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
EMNLP 2024
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
CVPR 2023
Prototypical Variational Autoencoder for 3D Few-shot Object Detection
NIPS 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
CVPR 2023
On the Pitfall of Mixup for Uncertainty Calibration
CVPR 2023
Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior
CVPR 2023
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
ICCV 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
ICCV 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
ICML 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
IJCAI 2023
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary
AAAI 2022
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels
ECCV 2022
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
IJCAI 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
NIPS 2022
Point Cloud Upsampling via Disentangled Refinement
CVPR 2021
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning
ICCV 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
NIPS 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
AAAI 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
CVPR 2021
Single-Stage Instance Shadow Detection With Bidirectional Relation Learning
CVPR 2021
C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing
ICCV 2021
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection
AAAI 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Noise against noise: stochastic label noise helps combat inherent label noise
ICLR 2021
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
CVPR 2020
Instance Shadow Detection
CVPR 2020
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection
CVPR 2020
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation
AAAI 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
ECCV 2020
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data
ICCV 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
AAAI 2019
Depth-Attentional Features for Single-Image Rain Removal
CVPR 2019
Deep Multi-Model Fusion for Single-Image Dehazing
ICCV 2019
PU-GAN: A Point Cloud Upsampling Adversarial Network
ICCV 2019
Direction-Aware Spatial Context Features for Shadow Detection
CVPR 2018
PU-Net: Point Cloud Upsampling Network
CVPR 2018
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection
ECCV 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
IJCAI 2018
RΒ³Net: Recurrent Residual Refinement Network for Saliency Detection
IJCAI 2018
EC-Net: an Edge-aware Point set Consolidation Network
ECCV 2018
Cascaded Feature Network for Semantic Segmentation of RGB-D Images
ICCV 2017
Joint Bi-Layer Optimization for Single-Image Rain Streak Removal
ICCV 2017
A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction
CVPR 2017
Online Robust Image Alignment via Subspace Learning From Gradient Orientations
ICCV 2017
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
CVPR 2016
From Noise Modeling to Blind Image Denoising
CVPR 2016