Volker Tresp
69 papers · 2006–2026 · 19 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (18)
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(6)
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Interdisciplinary Bridge
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Academic Marathon
(19)
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Keyword Trendsetter Combo
(4)
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Dynamic Duo
(21)
π±
Topic Pioneer
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Keyword Champion
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Grand Slam
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Deep Specialist
(14)
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Topic Evolution
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Unstoppable
(9)
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Conference Pioneer
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Prolific Year
(12)
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Keyword Collector
(285)
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The Questioner
(5)
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Century Club
(65)
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Trend Setter
Conferences
EMNLP (12)
AAAI (11)
WACV (6)
ACL (6)
CVPR (5)
ECCV (4)
ICCV (3)
ICLR (3)
ICML (3)
NAACL (3)
NIPS (3)
AISTATS (2)
IJCAI (2)
CONLL (1)
CORL (1)
EACL (1)
ACML (1)
JMLR (1)
MLHC (1)
Top co-authors
Research topics
Keywords
temporal knowledge graph
(9)
link prediction
(9)
large language model
(7)
vision-language model
(5)
knowledge graph
(5)
knowledge graph embedding
(4)
federated learning
(4)
reinforcement learning
(3)
graph neural network
(3)
multi-agent system
(3)
video understanding
(3)
multimodal learning
(3)
capsule network
(3)
link forecasting
(3)
multimodal large language model
(3)
dynamic routing
(3)
knowledge graph completion
(3)
gaussian process
(2)
graph embedding
(2)
zero-shot learning
(2)
Papers
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
AAAI 2026
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
ACL 2026
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
EACL 2026
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
WACV 2025
METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding
EMNLP 2025
SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
EMNLP 2025
FedPop: Federated Population-based Hyperparameter Tuning
AAAI 2025
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration
AAAI 2025
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
CVPR 2025
Localizing Events in Videos with Multimodal Queries
CVPR 2025
Multimodal Pragmatic Jailbreak on Text-to-image Models
ACL 2025
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings
ACL 2025
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
ACL 2025
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
AISTATS 2025
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
WACV 2025
Perceive Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries
WACV 2025
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining
WACV 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
AAAI 2024
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
CVPR 2024
LookupViT: Compressing visual information to a limited number of tokens
ECCV 2024
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
EMNLP 2024
Visual Question Decomposition on Multimodal Large Language Models
EMNLP 2024
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
EMNLP 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions
ICML 2024
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
NAACL 2024
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
NAACL 2024
What's Outside the Intersection? Fine-Grained Error Analysis for Semantic Segmentation Beyond IoU
WACV 2024
Can Vision-Language Models Be a Good Guesser? Exploring VLMs for Times and Location Reasoning
WACV 2024
InstanceFormer: An Online Video Instance Segmentation Framework
AAAI 2023
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations
ACL 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
NIPS 2023
Multi-Event Video-Text Retrieval
ICCV 2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
ICCV 2023
Do DALL-E and Flamingo Understand Each Other?
ICCV 2023
Relationformer: A Unified Framework for Image-to-Graph Generation
ECCV 2022
Named Entity Recognition in Industrial Tables using Tabular Language Models
EMNLP 2022
Improving Scene Graph Classification by Exploiting Knowledge from Texts
AAAI 2022
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
AAAI 2022
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)
IJCAI 2022
Continuous Temporal Graph Networks for Event-Based Graph Data
NAACL 2022
Towards Data-Free Domain Generalization
ACML 2022
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion
ACL 2022
Are Vision Transformers Robust to Patch Perturbations?
ECCV 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
ECCV 2022
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
ICLR 2021
Causal Inference under Networked Interference and Intervention Policy Enhancement
AISTATS 2021
Effective and Efficient Vote Attack on Capsule Networks
ICLR 2021
Mutual Information State Intrinsic Control
ICLR 2021
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework
EMNLP 2021
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs
EMNLP 2021
Classification by Attention: Scene Graph Classification with Prior Knowledge
AAAI 2021
Few-Shot One-Class Classification via Meta-Learning
AAAI 2021
Capsule Network Is Not More Robust Than Convolutional Network
CVPR 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
JMLR 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
MLHC 2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification
EMNLP 2021
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
EMNLP 2020
Reasoning on Knowledge Graphs with Debate Dynamics
AAAI 2020
Improving the Robustness of Capsule Networks to Image Affine Transformations
CVPR 2020
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing
EMNLP 2020
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
ICML 2019
Energy-Based Hindsight Experience Prioritization
CORL 2018
Improving Information Extraction from Images with Learned Semantic Models
IJCAI 2018
Tensor-Train Recurrent Neural Networks for Video Classification
ICML 2017
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
NIPS 2014
Natural Language Questions for the Web of Data
EMNLP 2012
Natural Language Questions for the Web of Data
CONLL 2012
Stochastic Relational Models for Discriminative Link Prediction
NIPS 2006