Hanspeter Pfister
46 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (82) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Conference Loyalist
(24)
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Keyword Pioneer
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Topic Evolution
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Dynamic Duo
(11)
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Renaissance Researcher
(9)
π₯
Unstoppable Β· Silver
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(225)
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Research topics
Computer Vision
(26)
Machine Learning
(20)
Artificial Intelligence
(19)
Core AI
(18)
Deep Learning
(16)
Processing
(16)
Analysis
(14)
Core Methods
(11)
Learning Types Β· Machine Learning
(10)
Learning Types Β· Deep Learning
(9)
Architectures
(7)
Natural Language Processing
(6)
Application Areas
(6)
Domain-Specific
(4)
Models
(4)
Keywords
vision-language model
(5)
semi-supervised learning
(4)
image restoration
(4)
semantic segmentation
(4)
convolutional neural network
(3)
large language model
(3)
image segmentation
(3)
motion estimation
(3)
low-rank adaptation
(2)
optical flow
(2)
dimensionality reduction
(2)
image denoising
(2)
zero-shot learning
(2)
domain generalization
(2)
image super-resolution
(2)
attention mechanism
(2)
graph laplacian
(2)
3d reconstruction
(2)
gaussian splatting
(2)
distribution shift
(2)
Papers
Abstract 3D Perception for Spatial Intelligence in Vision-Language Models
CVPR 2026
AREA3D: Active Reconstruction Agent with Unified Feed-Forward 3D Perception and Vision-Language Guidance
CVPR 2026
Bias at the End of the Score
CVPR 2026
RoboTAG: End-to-end Robot Pose Estimation via Topological Alignment Graph
CVPR 2026
Virtual Multiplex Staining for Histological Images Using a Marker-Wise Conditioned Diffusion Model
AAAI 2026
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
CVPR 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
AAAI 2025
Tree of Attributes Prompt Learning for Vision-Language Models
ICLR 2025
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
ICLR 2025
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NeurIPS 2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning
CVPR 2024
LangSplat: 3D Language Gaussian Splatting
CVPR 2024
MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality
MICCAI 2024
Multimodal Learning for Embryo Viability Prediction in Clinical IVF
MICCAI 2024
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
ECCV 2024
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
NeurIPS 2024
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
ICCV 2023
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
ICLR 2023
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
NeurIPS 2023
Masked Image Training for Generalizable Deep Image Denoising
CVPR 2023
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
CVPR 2023
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
CVPR 2023
Sound Source Localization is All about Cross-Modal Alignment
ICCV 2023
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
CVPR 2022
Texture-Based Error Analysis for Image Super-Resolution
CVPR 2022
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset
CVPR 2022
Context Reasoning Attention Network for Image Super-Resolution
ICCV 2021
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution
ICCV 2021
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
NeurIPS 2021
Monocular Reconstruction of Neural Face Reflectance Fields
CVPR 2021
Fast Mitochondria Detection for Connectomics
MIDL 2020
Two Stream Active Query Suggestion for Active Learning in Connectomics
ECCV 2020
Biologically-Constrained Graphs for Global Connectomics Reconstruction
CVPR 2019
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis
EMNLP 2018
Guided Proofreading of Automatic Segmentations for Connectomics
CVPR 2018
Learning to Super-Resolve Blurry Face and Text Images
ICCV 2017
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
CVPR 2017
Blind Image Deblurring Using Dark Channel Prior
CVPR 2016
Context-Guided Diffusion for Label Propagation on Graphs
ICCV 2015
Layered RGBD Scene Flow Estimation
CVPR 2015
Local High-Order Regularization on Data Manifolds
CVPR 2015
Semi-Supervised Learning With Explicit Relationship Regularization
CVPR 2015
Local Layering for Joint Motion Estimation and Occlusion Detection
CVPR 2014
A Fully-Connected Layered Model of Foreground and Background Flow
CVPR 2013
Reconstructing Loopy Curvilinear Structures Using Integer Programming
CVPR 2013